Airborne vehicle detection in dense urban areas using ho g features and disparity maps
•
0 likes•12 views
This document describes a method for detecting vehicles in dense urban areas using aerial images. The method uses Histogram of Oriented Gradients (HoG) features and disparity maps from at least two subsequent images along with exterior orientation data, a digital elevation model, and a road database. Road segments from the database are projected onto the images using height data. Disparity maps are used to exclude elevated objects like buildings and vegetation. Region growing excludes homogeneous areas, and remaining areas are classified using HoG features. The approach was tested on images of Munich, achieving up to 70% accuracy in vehicle detection.
Report
Share
Report
Share
Download to read offline
Recommended
Airborne vehicle detection in dense urban areas using ho g features and dispa...
Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB Projects in Salem, 2013 IEEE MATLAB Projects in Coimbatore, 2013 IEEE MATLAB Projects in Tirupur, 2013 IEEE MATLAB Projects in Bangalore, 2013 IEEE MATLAB Projects in Hydrabad, 2013 IEEE MATLAB Projects in Kerala, 2013 IEEE MATLAB Projects in Namakkal, IEEE MATLAB Image Processing, IEEE MATLAB Face Recognition, IEEE MATLAB Face Detection, IEEE MATLAB Brain Tumour, IEEE MATLAB Iris Recognition, IEEE MATLAB Image Segmentation, Final Year Matlab Projects in Pondichery, Final Year Matlab Projects in Tamilnadu, Final Year Matlab Projects in Chennai, Final Year Matlab Projects in Trichy, Final Year Matlab Projects in Erode, Final Year Matlab Projects in Karur, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Tirunelveli, Final Year Matlab Projects in Madurai, Final Year Matlab Projects in Salem, Final Year Matlab Projects in Tirupur, Final Year Matlab Projects in Namakkal, Final Year Matlab Projects in Tanjore, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Bangalore, Final Year Matlab Projects in Hydrabad, Final Year Matlab Projects in Kerala.
3D enabling Smart Cities
This document discusses how 3D modeling can enable smart cities. It explains that 3D urban models created from geospatial data can be used to create smart web services based on building information. CityGML is presented as a standard for representing 3D city models and its levels of detail (LOD) are described. The document proposes using automated LOD2 CityGML modeling and linking building IDs to cadastral references. Examples of potential 3D-enabled smart city services are given like noise mapping, solar potential analysis, and routing for disabled citizens. It emphasizes the need for authoritative spatial data collection and integration from sources like sensors and crowdsourcing.
3 D Lidar Epfl Iccsa 08
The document discusses using 3D LIDAR data and multi-agent geosimulation to model urban morphogenesis and assess the impacts of new development scenarios. Key aspects include developing an accurate 3D surface model from LIDAR and cadaster data to analyze visibility and sunlight exposure. Agents representing buildings and urban elements interact based on programmed behaviors and environmental factors. Preliminary results show visibility is an important parameter and LIDAR data provides precision, though computations are time-consuming. Further applications of high-resolution 3D LIDAR data could improve simulation accuracy and dynamic visualization.
Enabling numerical Simulations in semantic 3D City Models using CityGML
This document discusses enabling numerical simulations in 3D city models using CityGML. It describes two projects: 1) Simulating urban air flow to calculate pedestrian comfort, and 2) Simulating urban blast scenarios to determine safety perimeters. The challenges of transferring data between GIS and engineering simulation tools are addressed. A workflow is presented for converting CityGML models to CAD formats, running simulations in tools like ANSYS, and reintegrating results into 3D city models. Benefits include leveraging existing spatial data infrastructures while using open standards.
Geographic information systems
Geographic information systems (GIS) collect, model, and analyze spatial and non-spatial data to represent physical features and socio-economic data. GIS can be divided into cartographic, digital terrain modeling, and geographic objects applications used for civil engineering, planning, natural resource management, and more. GIS requires data modeling, integration from multiple sources, analysis, and special operators to conduct tasks like interpolation, interpretation, and proximity analysis.
CityGML goes to Broadway - An Open Data 3D City Model for New York City
CityGML goes to Broadway - An Open Data 3D City Model for New York CityTechnische Universität München
A 3D city model of New York City was generated from 2D and 2.5D data available in the NYC Open Data Portal. Over 26 datasets were integrated into a single CityGML representation, including buildings, roads, land parcels, parks, and water bodies. All objects have 3D geometry and rich semantic attributes. An interactive webclient allows exploring the 3D city model, making it the first open 3D city model for a major US city generated entirely from open data.GIS Applications Project Poster
This document summarizes research analyzing the airport service areas in the Midwest using the Huff model. The Huff model determines service areas based on an airport's attractiveness, measured by passenger enplanements, and distance from locations. The research objectives were to create a map of airport service areas in the Midwest and determine which airports Iowans tend to use. Airport and enplanement data from 25 major Midwest airports was analyzed using the Huff model with different parameter values to estimate service areas. Maps were produced showing each location's highest probability of using a particular airport based on attractiveness and distance.
Belfast City Centre 3D Modelling
This document summarizes a 3D laser scan survey of two sites in Belfast City Centre for a new student accommodation development. At the first site, a 3D survey was conducted of the surrounding 3 city blocks to capture all adjacent buildings for construction of an accurate 3D model. At the second smaller site, a survey of 1 block was done. A total of 40 scans were taken over 3 days using a Leica Scan Station C10 laser scanner. The scans were combined and exported to modeling software to create 3D polyline window openings for right of light analysis, with the 3D models and window lines delivered within 5 days.
Recommended
Airborne vehicle detection in dense urban areas using ho g features and dispa...
Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB Projects in Salem, 2013 IEEE MATLAB Projects in Coimbatore, 2013 IEEE MATLAB Projects in Tirupur, 2013 IEEE MATLAB Projects in Bangalore, 2013 IEEE MATLAB Projects in Hydrabad, 2013 IEEE MATLAB Projects in Kerala, 2013 IEEE MATLAB Projects in Namakkal, IEEE MATLAB Image Processing, IEEE MATLAB Face Recognition, IEEE MATLAB Face Detection, IEEE MATLAB Brain Tumour, IEEE MATLAB Iris Recognition, IEEE MATLAB Image Segmentation, Final Year Matlab Projects in Pondichery, Final Year Matlab Projects in Tamilnadu, Final Year Matlab Projects in Chennai, Final Year Matlab Projects in Trichy, Final Year Matlab Projects in Erode, Final Year Matlab Projects in Karur, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Tirunelveli, Final Year Matlab Projects in Madurai, Final Year Matlab Projects in Salem, Final Year Matlab Projects in Tirupur, Final Year Matlab Projects in Namakkal, Final Year Matlab Projects in Tanjore, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Bangalore, Final Year Matlab Projects in Hydrabad, Final Year Matlab Projects in Kerala.
3D enabling Smart Cities
This document discusses how 3D modeling can enable smart cities. It explains that 3D urban models created from geospatial data can be used to create smart web services based on building information. CityGML is presented as a standard for representing 3D city models and its levels of detail (LOD) are described. The document proposes using automated LOD2 CityGML modeling and linking building IDs to cadastral references. Examples of potential 3D-enabled smart city services are given like noise mapping, solar potential analysis, and routing for disabled citizens. It emphasizes the need for authoritative spatial data collection and integration from sources like sensors and crowdsourcing.
3 D Lidar Epfl Iccsa 08
The document discusses using 3D LIDAR data and multi-agent geosimulation to model urban morphogenesis and assess the impacts of new development scenarios. Key aspects include developing an accurate 3D surface model from LIDAR and cadaster data to analyze visibility and sunlight exposure. Agents representing buildings and urban elements interact based on programmed behaviors and environmental factors. Preliminary results show visibility is an important parameter and LIDAR data provides precision, though computations are time-consuming. Further applications of high-resolution 3D LIDAR data could improve simulation accuracy and dynamic visualization.
Enabling numerical Simulations in semantic 3D City Models using CityGML
This document discusses enabling numerical simulations in 3D city models using CityGML. It describes two projects: 1) Simulating urban air flow to calculate pedestrian comfort, and 2) Simulating urban blast scenarios to determine safety perimeters. The challenges of transferring data between GIS and engineering simulation tools are addressed. A workflow is presented for converting CityGML models to CAD formats, running simulations in tools like ANSYS, and reintegrating results into 3D city models. Benefits include leveraging existing spatial data infrastructures while using open standards.
Geographic information systems
Geographic information systems (GIS) collect, model, and analyze spatial and non-spatial data to represent physical features and socio-economic data. GIS can be divided into cartographic, digital terrain modeling, and geographic objects applications used for civil engineering, planning, natural resource management, and more. GIS requires data modeling, integration from multiple sources, analysis, and special operators to conduct tasks like interpolation, interpretation, and proximity analysis.
CityGML goes to Broadway - An Open Data 3D City Model for New York City
CityGML goes to Broadway - An Open Data 3D City Model for New York CityTechnische Universität München
A 3D city model of New York City was generated from 2D and 2.5D data available in the NYC Open Data Portal. Over 26 datasets were integrated into a single CityGML representation, including buildings, roads, land parcels, parks, and water bodies. All objects have 3D geometry and rich semantic attributes. An interactive webclient allows exploring the 3D city model, making it the first open 3D city model for a major US city generated entirely from open data.GIS Applications Project Poster
This document summarizes research analyzing the airport service areas in the Midwest using the Huff model. The Huff model determines service areas based on an airport's attractiveness, measured by passenger enplanements, and distance from locations. The research objectives were to create a map of airport service areas in the Midwest and determine which airports Iowans tend to use. Airport and enplanement data from 25 major Midwest airports was analyzed using the Huff model with different parameter values to estimate service areas. Maps were produced showing each location's highest probability of using a particular airport based on attractiveness and distance.
Belfast City Centre 3D Modelling
This document summarizes a 3D laser scan survey of two sites in Belfast City Centre for a new student accommodation development. At the first site, a 3D survey was conducted of the surrounding 3 city blocks to capture all adjacent buildings for construction of an accurate 3D model. At the second smaller site, a survey of 1 block was done. A total of 40 scans were taken over 3 days using a Leica Scan Station C10 laser scanner. The scans were combined and exported to modeling software to create 3D polyline window openings for right of light analysis, with the 3D models and window lines delivered within 5 days.
3D Model of Buildings Automatically Created from Open Datasets
The document describes 3D city models created automatically from open data sources for three areas: Gjakovë, Kosovo using CAD data; Liberec Region, Czechia using laser scan and land use data; and Riga Region, Latvia using elevation models, building footprints, and orthophoto images. The models were created to evaluate different data sources and approaches for automatic 3D city modeling and can be used for visualization, analysis, and crisis management, but not high-precision uses like cadastres. Computing models from laser scan or image data is more time consuming than from CAD data. Improvements could include better computing power, combining multiple data sources, and manual refinements.
POSTER_BUSTOS
The Sky view factor (SVF) represents the fraction of visible sky from a location and is used to estimate the urban heat island effect, energy balance, and thermal comfort. This document describes an online GIS tool that calculates SVF values based on building footprints, heights, and observer locations. The tool divides the hemisphere into slices, calculates elevation angles and distances to buildings to determine the fraction of sky obstructed at each observer point. Calculated SVF values are uploaded to ArcGIS Online to share maps of SVF distributions for urban planning and analysis of different design proposals.
Tor creator
TORCreator application creates TOR Model for land parcels based on stored data in order to save, present, export or print model for the stakeholders or organizations. This all happened through AutoCAD as a powerful, easy and efficient workspace. In addition, TORCreator has many other geometric functions such as calculating dimensions, areas and saving field coordinates which come from field automatically, also it saves owner and consultant information.
Spatial data quality in the city of Amsterdam
Presentation by Ad van der Meer, Manager Geo-Information of the City of Amsterdam about spatial data quality aspects of their registers.
Colla, Gregory Resume 2015
Gregory Colla is a civil engineering student at the University of Connecticut anticipated to graduate in May 2016. He has relevant coursework in areas like structural analysis, transportation planning, and soil mechanics. His projects include a topographical survey where he used a total station and created maps in MicroStation, and a parking demand study at a shopping center. He is seeking an entry-level civil engineering position focusing on structural engineering.
ceig2010_mei
The document describes the SkylineEngine system for procedural modeling of cities. It presents a non-linear pipeline for city generation that is configurable and flexible. Key modules include those for generating street patterns, subdividing blocks into lots, and procedural building generation. The system is implemented in Houdini and can produce synthetic cities or import real city data. Future work aims to improve localization of landmarks and manage level-of-detail for batch exporting.
Combining semantic 3D GIS with numerical Simulation for assessing the impact ...
Combining semantic 3D GIS with numerical Simulation for assessing the impact ...virtualcitySYSTEMS GmbH
This document discusses combining 3D GIS data with numerical simulation tools to model explosions in urban environments. It presents a workflow to convert 3D city models from GIS formats like CityGML to CAD formats for use in simulation tools like ANSYS. A case study is described where a bomb explosion is modeled by extracting a CityGML city model, processing the geometry for simulation, setting up the simulation in ANSYS, and exporting results like overpressure maps. Challenges addressed include differences between GIS and CAD data formats and modeling quality. Future work could include simulating pedestrian comfort levels using computational fluid dynamics methods.Field Geometry, auto steering and services
This document discusses a project to develop a web service called Geo Arable field Optimisation Service (GAOS) that helps optimize field geometry and operations for farmers. The GAOS uses algorithms to analyze field boundaries and calculate the best swath patterns for tasks like planting and spraying that minimize unused areas and costs while considering factors like turning requirements. Over 20 farmers participated in a trial that found the optimized geometries improved revenues and margins. Current work is focused on improving the stability of the system and better supporting complex field shapes and operations like curve-following tractors.
Buildings3 d gThe Use of Geographical Information Systems for 3D Urban Models...
The document discusses 3D modeling techniques using aerial lidar data. It presents a framework for extracting digital terrain models (DTMs) and reconstructing 3D building models. For DTM extraction, it introduces the Minimum Block Classification model implemented in GIS. For building reconstruction, it describes a process involving generating a TIN, extracting roof patches, detecting planar faces, intersecting roof planes, and final 3D reconstruction. Case studies demonstrate the approaches. The document concludes the techniques can successfully create 3D models from lidar data and that model quality depends on factors like building complexity and point distribution.
Urban Analytics & Information Fusion with CityGML
Semantic 3D City Models are the basis of a new generation of virtual reality. The most relevant objects within a city including manmade and natural objects are mapped to objects within a semantic 3D city model. These objects are classified, further substructured (e.g. a building is decomposed into roof and wall parts etc.), attributed, and have spatial and semantic relations to other objects. The international standard CityGML issued by the Open Geospatial Consortium provides a common vocabulary and definitions for describing and managing urban entities which enables interoperability over the many different cities all over the world.
This presentation shows how CityGML based semantic 3D city models are used to link data from diverse application fields like energy planning, disaster management, and environmental analyses on a stable ground. Special focus is on the support of strategic energy planning, demonstrated for the research project "Energy Atlas Berlin" that was funded by the "Climate KIC" of the European Institute for Innovation and Technology (EIT). We show the city-wide estimation of the energy demands of buildings including heating, electricity and warm water energy in the city of Berlin using available official geobase and statistical data integrated within the Energy Atlas Berlin.
The tools have been mostly developed at the chair of Geoinformatics at Technische Universität München (TUM). They are now being further developed in follow-up projects and applied with housing companies, energy suppliers, and urban retrofitting initiatives. For further information see the references on the last two slides.
Application of integrated System Dynamics, GIS and 3D visualization system in...
Application of integrated System Dynamics, GIS and 3D visualization system in a study of residential sustainability
Zhao Xu - Polytechnic of Turin
Volker Coors - University of Applied Sciences Stuttgart
Unmanned aerial vehicles UAVs for the Construction Industry
The potential for using UAVs within the construction and civil engineering industry is significant yet their use is currently relatively limited. The main reason behind this is a lack of awareness of their potential and the range of benefits that they can bring, even though, right through from planning to final construction, nearly every stage of the engineering process can benefit from the use of a UAV.
A Successful Pictometry Implementation Story - 2016Oct
The document summarizes St. Albert's implementation and use of Pictometry aerial imagery. It describes the city's flight history since 2012 and funding model. Technical specifications for the 2016 flight included 7.5cm resolution and no AccuPlus correction. Over 180 named user accounts have access to the cloud-based imagery in the corporate GIS system. Key users include Engineering, Public Works, and Recreation & Parks. Usage has grown steadily, with over 4,500 image views in the last 30 days. The imagery supports various municipal functions like utility billing, development permitting, and fire prevention. Future plans include integrating the imagery with 911 and capturing building footprints.
An adaptive output current estimation circuit for a primary side controlled l...
This document proposes a new output current estimation circuit for primary-side controlled LED drivers to improve line regulation. The circuit estimates output current for constant on-time control and can be used with existing flyback topologies. A prototype was built using a 0.6-μm CMOS process and tested at 100 kHz switching frequency with universal input and single-stage power factor correction. Experimental results showed the new scheme improved line regulation to within 1.5% and achieved up to 89.7% power efficiency.
An embedded system for an eeg based bci
This document presents the development of an embedded system designed to function as an EEG-based brain-computer interface (BCI) system. The system uses a microcontroller and digital signal processor to process, store, and communicate EEG signals required for the application. A Matlab script generates the classifier used in the DSP to identify user intentions, while Windows programs display classification results and convert data for use in Matlab. The system's communication channel can also be integrated into wheelchairs.
Harga headlamp yamaha m slaz thailand XABRE
Harga headlamp yamaha m slaz thailand XABRE
http://pertamax7.com
Avasarfashion
The document discusses women's clothing options available for online purchase in India, including sarees, salwar suits, and kurtis. These traditional Indian outfits provide a range of styles for women's everyday wear and special occasions that can be conveniently shopped for online.
Analysis of a fifth order resonant converter for high-voltage dc power supplies
This document analyzes a fifth-order resonant converter for high-voltage DC power supplies. It presents a precise analysis of the converter that incorporates the resonant circuit into the transformer model. This derived model can fully predict the behavior of the fifth-order resonant converter. Experimental results on a 10-kVDC, 1.1-kW prototype demonstrate the accuracy of the proposed model and show the converter can operate with zero voltage switching over the entire load range using a fixed-frequency control method.
Adaptive network coding for broadband wireless access networks
This document describes a study on adaptive network coding techniques for broadband wireless access networks. It analyzes random network coding (RNC) and systematic network coding (SNC) decoding probabilities and selects SNC for developing an adaptive scheme called Frame-by-frame Adaptive Systematic Network Coding (FASNC). FASNC dynamically uses either Modified Systematic Network Coding (M-SNC) or Mixed Generation Coding (MGC) per frame based on network constraints. An analytical model is developed to evaluate the mean decoding delay and mean goodput of the proposed FASNC scheme, with results matching computer simulations.
Aml efficient approximate membership localization within a web based join fra...
This document provides an abstract for a paper that proposes a new problem called Approximate Membership Localization (AML) for dictionary-based entity recognition. AML aims to locate non-overlapping substrings in a document that approximate true matches, without generating redundant overlapped substrings like Approximate Membership Extraction (AME) does. The paper proposes an algorithm called P-Prune that prunes redundant matched substrings to perform AML more efficiently. Experimental results on real-world datasets demonstrate P-Prune's efficiency over baselines and show that AML outperforms AME, including in a proposed web-based join framework application.
An investigation on lte mobility management
LTE uses the Mobility Management Entity (MME) to handle mobility management differently than 3G networks. The MME is responsible for mobility management and is connected to evolved Node B cells, which are grouped into Tracking Areas (TAs). TAs are further grouped into TA Lists (TALs). When a User Equipment moves out of its current TAL, it reports its new location to the MME. This paper investigates the performance of LTE paging, where the MME pages cells, TAs, or TALs to locate a UE, and provides guidelines for the best paging sequence.
Analysis, design, and performance evaluations of an edge resonant switched ca...
This document summarizes the analysis, design, and performance evaluation of an edge-resonant switched capacitor cell-assisted soft-switching PWM boost DC-DC converter and its interleaved topology. The converter uses an edge-resonant switched capacitor cell to achieve zero-current turn-on and zero-voltage turn-off of the active switches, minimizing the reverse recovery current in the freewheeling diode. Circuit design guidelines and theoretical analysis of voltage conversion ratio are presented. Laboratory prototypes of the single converter and interleaved topology are evaluated experimentally and their performances are discussed.
More Related Content
What's hot
3D Model of Buildings Automatically Created from Open Datasets
The document describes 3D city models created automatically from open data sources for three areas: Gjakovë, Kosovo using CAD data; Liberec Region, Czechia using laser scan and land use data; and Riga Region, Latvia using elevation models, building footprints, and orthophoto images. The models were created to evaluate different data sources and approaches for automatic 3D city modeling and can be used for visualization, analysis, and crisis management, but not high-precision uses like cadastres. Computing models from laser scan or image data is more time consuming than from CAD data. Improvements could include better computing power, combining multiple data sources, and manual refinements.
POSTER_BUSTOS
The Sky view factor (SVF) represents the fraction of visible sky from a location and is used to estimate the urban heat island effect, energy balance, and thermal comfort. This document describes an online GIS tool that calculates SVF values based on building footprints, heights, and observer locations. The tool divides the hemisphere into slices, calculates elevation angles and distances to buildings to determine the fraction of sky obstructed at each observer point. Calculated SVF values are uploaded to ArcGIS Online to share maps of SVF distributions for urban planning and analysis of different design proposals.
Tor creator
TORCreator application creates TOR Model for land parcels based on stored data in order to save, present, export or print model for the stakeholders or organizations. This all happened through AutoCAD as a powerful, easy and efficient workspace. In addition, TORCreator has many other geometric functions such as calculating dimensions, areas and saving field coordinates which come from field automatically, also it saves owner and consultant information.
Spatial data quality in the city of Amsterdam
Presentation by Ad van der Meer, Manager Geo-Information of the City of Amsterdam about spatial data quality aspects of their registers.
Colla, Gregory Resume 2015
Gregory Colla is a civil engineering student at the University of Connecticut anticipated to graduate in May 2016. He has relevant coursework in areas like structural analysis, transportation planning, and soil mechanics. His projects include a topographical survey where he used a total station and created maps in MicroStation, and a parking demand study at a shopping center. He is seeking an entry-level civil engineering position focusing on structural engineering.
ceig2010_mei
The document describes the SkylineEngine system for procedural modeling of cities. It presents a non-linear pipeline for city generation that is configurable and flexible. Key modules include those for generating street patterns, subdividing blocks into lots, and procedural building generation. The system is implemented in Houdini and can produce synthetic cities or import real city data. Future work aims to improve localization of landmarks and manage level-of-detail for batch exporting.
Combining semantic 3D GIS with numerical Simulation for assessing the impact ...
Combining semantic 3D GIS with numerical Simulation for assessing the impact ...virtualcitySYSTEMS GmbH
This document discusses combining 3D GIS data with numerical simulation tools to model explosions in urban environments. It presents a workflow to convert 3D city models from GIS formats like CityGML to CAD formats for use in simulation tools like ANSYS. A case study is described where a bomb explosion is modeled by extracting a CityGML city model, processing the geometry for simulation, setting up the simulation in ANSYS, and exporting results like overpressure maps. Challenges addressed include differences between GIS and CAD data formats and modeling quality. Future work could include simulating pedestrian comfort levels using computational fluid dynamics methods.Field Geometry, auto steering and services
This document discusses a project to develop a web service called Geo Arable field Optimisation Service (GAOS) that helps optimize field geometry and operations for farmers. The GAOS uses algorithms to analyze field boundaries and calculate the best swath patterns for tasks like planting and spraying that minimize unused areas and costs while considering factors like turning requirements. Over 20 farmers participated in a trial that found the optimized geometries improved revenues and margins. Current work is focused on improving the stability of the system and better supporting complex field shapes and operations like curve-following tractors.
Buildings3 d gThe Use of Geographical Information Systems for 3D Urban Models...
The document discusses 3D modeling techniques using aerial lidar data. It presents a framework for extracting digital terrain models (DTMs) and reconstructing 3D building models. For DTM extraction, it introduces the Minimum Block Classification model implemented in GIS. For building reconstruction, it describes a process involving generating a TIN, extracting roof patches, detecting planar faces, intersecting roof planes, and final 3D reconstruction. Case studies demonstrate the approaches. The document concludes the techniques can successfully create 3D models from lidar data and that model quality depends on factors like building complexity and point distribution.
Urban Analytics & Information Fusion with CityGML
Semantic 3D City Models are the basis of a new generation of virtual reality. The most relevant objects within a city including manmade and natural objects are mapped to objects within a semantic 3D city model. These objects are classified, further substructured (e.g. a building is decomposed into roof and wall parts etc.), attributed, and have spatial and semantic relations to other objects. The international standard CityGML issued by the Open Geospatial Consortium provides a common vocabulary and definitions for describing and managing urban entities which enables interoperability over the many different cities all over the world.
This presentation shows how CityGML based semantic 3D city models are used to link data from diverse application fields like energy planning, disaster management, and environmental analyses on a stable ground. Special focus is on the support of strategic energy planning, demonstrated for the research project "Energy Atlas Berlin" that was funded by the "Climate KIC" of the European Institute for Innovation and Technology (EIT). We show the city-wide estimation of the energy demands of buildings including heating, electricity and warm water energy in the city of Berlin using available official geobase and statistical data integrated within the Energy Atlas Berlin.
The tools have been mostly developed at the chair of Geoinformatics at Technische Universität München (TUM). They are now being further developed in follow-up projects and applied with housing companies, energy suppliers, and urban retrofitting initiatives. For further information see the references on the last two slides.
Application of integrated System Dynamics, GIS and 3D visualization system in...
Application of integrated System Dynamics, GIS and 3D visualization system in a study of residential sustainability
Zhao Xu - Polytechnic of Turin
Volker Coors - University of Applied Sciences Stuttgart
Unmanned aerial vehicles UAVs for the Construction Industry
The potential for using UAVs within the construction and civil engineering industry is significant yet their use is currently relatively limited. The main reason behind this is a lack of awareness of their potential and the range of benefits that they can bring, even though, right through from planning to final construction, nearly every stage of the engineering process can benefit from the use of a UAV.
A Successful Pictometry Implementation Story - 2016Oct
The document summarizes St. Albert's implementation and use of Pictometry aerial imagery. It describes the city's flight history since 2012 and funding model. Technical specifications for the 2016 flight included 7.5cm resolution and no AccuPlus correction. Over 180 named user accounts have access to the cloud-based imagery in the corporate GIS system. Key users include Engineering, Public Works, and Recreation & Parks. Usage has grown steadily, with over 4,500 image views in the last 30 days. The imagery supports various municipal functions like utility billing, development permitting, and fire prevention. Future plans include integrating the imagery with 911 and capturing building footprints.
What's hot (13)
3D Model of Buildings Automatically Created from Open Datasets
3D Model of Buildings Automatically Created from Open Datasets
Combining semantic 3D GIS with numerical Simulation for assessing the impact ...
Combining semantic 3D GIS with numerical Simulation for assessing the impact ...
Buildings3 d gThe Use of Geographical Information Systems for 3D Urban Models...
Buildings3 d gThe Use of Geographical Information Systems for 3D Urban Models...
Application of integrated System Dynamics, GIS and 3D visualization system in...
Application of integrated System Dynamics, GIS and 3D visualization system in...
Unmanned aerial vehicles UAVs for the Construction Industry
Unmanned aerial vehicles UAVs for the Construction Industry
A Successful Pictometry Implementation Story - 2016Oct
A Successful Pictometry Implementation Story - 2016Oct
Viewers also liked
An adaptive output current estimation circuit for a primary side controlled l...
This document proposes a new output current estimation circuit for primary-side controlled LED drivers to improve line regulation. The circuit estimates output current for constant on-time control and can be used with existing flyback topologies. A prototype was built using a 0.6-μm CMOS process and tested at 100 kHz switching frequency with universal input and single-stage power factor correction. Experimental results showed the new scheme improved line regulation to within 1.5% and achieved up to 89.7% power efficiency.
An embedded system for an eeg based bci
This document presents the development of an embedded system designed to function as an EEG-based brain-computer interface (BCI) system. The system uses a microcontroller and digital signal processor to process, store, and communicate EEG signals required for the application. A Matlab script generates the classifier used in the DSP to identify user intentions, while Windows programs display classification results and convert data for use in Matlab. The system's communication channel can also be integrated into wheelchairs.
Harga headlamp yamaha m slaz thailand XABRE
Harga headlamp yamaha m slaz thailand XABRE
http://pertamax7.com
Avasarfashion
The document discusses women's clothing options available for online purchase in India, including sarees, salwar suits, and kurtis. These traditional Indian outfits provide a range of styles for women's everyday wear and special occasions that can be conveniently shopped for online.
Analysis of a fifth order resonant converter for high-voltage dc power supplies
This document analyzes a fifth-order resonant converter for high-voltage DC power supplies. It presents a precise analysis of the converter that incorporates the resonant circuit into the transformer model. This derived model can fully predict the behavior of the fifth-order resonant converter. Experimental results on a 10-kVDC, 1.1-kW prototype demonstrate the accuracy of the proposed model and show the converter can operate with zero voltage switching over the entire load range using a fixed-frequency control method.
Adaptive network coding for broadband wireless access networks
This document describes a study on adaptive network coding techniques for broadband wireless access networks. It analyzes random network coding (RNC) and systematic network coding (SNC) decoding probabilities and selects SNC for developing an adaptive scheme called Frame-by-frame Adaptive Systematic Network Coding (FASNC). FASNC dynamically uses either Modified Systematic Network Coding (M-SNC) or Mixed Generation Coding (MGC) per frame based on network constraints. An analytical model is developed to evaluate the mean decoding delay and mean goodput of the proposed FASNC scheme, with results matching computer simulations.
Aml efficient approximate membership localization within a web based join fra...
This document provides an abstract for a paper that proposes a new problem called Approximate Membership Localization (AML) for dictionary-based entity recognition. AML aims to locate non-overlapping substrings in a document that approximate true matches, without generating redundant overlapped substrings like Approximate Membership Extraction (AME) does. The paper proposes an algorithm called P-Prune that prunes redundant matched substrings to perform AML more efficiently. Experimental results on real-world datasets demonstrate P-Prune's efficiency over baselines and show that AML outperforms AME, including in a proposed web-based join framework application.
An investigation on lte mobility management
LTE uses the Mobility Management Entity (MME) to handle mobility management differently than 3G networks. The MME is responsible for mobility management and is connected to evolved Node B cells, which are grouped into Tracking Areas (TAs). TAs are further grouped into TA Lists (TALs). When a User Equipment moves out of its current TAL, it reports its new location to the MME. This paper investigates the performance of LTE paging, where the MME pages cells, TAs, or TALs to locate a UE, and provides guidelines for the best paging sequence.
Analysis, design, and performance evaluations of an edge resonant switched ca...
This document summarizes the analysis, design, and performance evaluation of an edge-resonant switched capacitor cell-assisted soft-switching PWM boost DC-DC converter and its interleaved topology. The converter uses an edge-resonant switched capacitor cell to achieve zero-current turn-on and zero-voltage turn-off of the active switches, minimizing the reverse recovery current in the freewheeling diode. Circuit design guidelines and theoretical analysis of voltage conversion ratio are presented. Laboratory prototypes of the single converter and interleaved topology are evaluated experimentally and their performances are discussed.
Adaptive voltage control of the dcdc boost stage in pv converters with small ...
The document discusses an adaptive voltage control method for the DC/DC boost stage in photovoltaic converters that allows for a smaller input capacitor. Traditionally, PV systems use a large input capacitor for adequate voltage regulation to maximize power from the solar array. However, with a smaller capacitor the nonlinear characteristics of the PV array cause the voltage regulation performance to highly depend on the operating point. The paper analyzes these nonlinearities, proposes an adaptive control based on linearizing around the operating point, and validates the control through experiments on a commercial converter with a 40 μF capacitor connected to a 4 kW solar array.
An apparatus in monitoring the energy charging system
The document describes a solar energy monitoring system comprised of three sub-systems: a charging sub-system, a control sub-system, and a display sub-system. The system uses wireless transmission standards like Bluetooth, Wi-Fi, and Zigbee to monitor a solar energy charging system. It was designed to generate statistical reports on the performance of simulated wireless surveillance systems and can be applied to other areas like healthcare and environmental inspection.
An embedded systems laboratory to support rapid prototyping of robotics and t...
This document describes a new laboratory approach for teaching robotics and Internet of Things concepts using a low-cost 32-bit microcontroller. Students use a cloud-based compiler to develop software in C/C++ for projects building prototypes on breadboards combining the microcontroller with networking and input/output components on breakout boards. Resources provided include eBooks, assignments, and documentation to support rapid prototyping. The proposed system would allow controlling a simple robot over Wi-Fi using TCP/IP and GPRS technology.
The Helpers Guide To Healthy Stress
The document discusses stress and its management for community service helpers. It defines stress and outlines the differences between healthy and unhealthy stress. Unhealthy stress can last for extended periods and negatively impact one's physical and mental health. The document then examines common causes of unhealthy stress for community service workers, such as a lack of self-care. Finally, it recommends methods for preventing and reducing stress, like exercise, yoga, meditation, counseling and joining recreational groups to promote a healthy lifestyle and manage stress.
El ambiente tac
Este documento define el medio ambiente como el sistema global constituido por elementos naturales y artificiales que interactúan y afectan la vida. Explica que la gestión ambiental evalúa el impacto ambiental y analiza problemas ambientales para lograr un desarrollo sostenible. Finalmente, destaca la importancia de cuidar el medio ambiente y los recursos naturales para tener un mundo más verde y limpio.
Adaptive theory based improved linear sinusoidal tracer control algorithm for...
This paper presents an adaptive control algorithm called improved linear sinusoidal tracer (ILST) for a three-phase distribution static compensator (DSTATCOM) to perform different functions like power factor correction, harmonics elimination, load balancing, and voltage regulation under linear and nonlinear loads. A prototype DSTATCOM is developed using a digital signal processor to test the control algorithm in real-time. The performance of the DSTATCOM with the proposed ILST control algorithm is found to be satisfactory under various load conditions.
Padma vi bhushan awardees 2016
The document lists notable Indians who were awarded the Padma Vibhushan award in 2016. The awardees included Tamil film actor Rajinikanth, media baron Ramoji Rao, former J&K governor Jagmohan, spiritual leader Shri Shri Ravi Shankar, dancers Yamini Krishnamurthy and Girija Devi, former DRDO chief V.K. Aatre, business tycoon Dhirubhai Ambani, economist Avinash Dixit, and cancer specialist Dr. V. Shanta. The information was compiled from believed reliable sources but no representation is made regarding its accuracy or completeness.
Viewers also liked (16)
An adaptive output current estimation circuit for a primary side controlled l...
An adaptive output current estimation circuit for a primary side controlled l...
Analysis of a fifth order resonant converter for high-voltage dc power supplies
Analysis of a fifth order resonant converter for high-voltage dc power supplies
Adaptive network coding for broadband wireless access networks
Adaptive network coding for broadband wireless access networks
Aml efficient approximate membership localization within a web based join fra...
Aml efficient approximate membership localization within a web based join fra...
Analysis, design, and performance evaluations of an edge resonant switched ca...
Analysis, design, and performance evaluations of an edge resonant switched ca...
Adaptive voltage control of the dcdc boost stage in pv converters with small ...
Adaptive voltage control of the dcdc boost stage in pv converters with small ...
An apparatus in monitoring the energy charging system
An apparatus in monitoring the energy charging system
An embedded systems laboratory to support rapid prototyping of robotics and t...
An embedded systems laboratory to support rapid prototyping of robotics and t...
Adaptive theory based improved linear sinusoidal tracer control algorithm for...
Adaptive theory based improved linear sinusoidal tracer control algorithm for...
Similar to Airborne vehicle detection in dense urban areas using ho g features and disparity maps
Gis spatial analysis for digital elevation model dem application
This document discusses using GIS spatial analysis to analyze digital elevation models (DEMs) before and after construction of the Alsukhna city project in Egypt. Two DEMs were created, one before and one after construction, using field surveys, satellite images, and topographic maps. GIS was used to compare the DEMs and determine the volume of cutting and filling during construction. The analysis found that the total volume of cutting from mountains was 116,405,841 cubic meters and the total volume of filling was 113,612,511 cubic meters, with 98% of cut material used for filling. The cutting and filling process helped protect the project area from rainfall risks and mountain collapse.
Embedding user generated content into oblique airborne photogrammetry based 3...
This document describes a framework for embedding user-generated content into 3D city models created through oblique airborne photogrammetry (OAP3D). The framework reduces the complexity of modifying OAP3D meshes from 3D operations to 2D raster operations. It involves selecting a region of interest, generating a user-defined digital surface model through interpolation, and overlaying user content such as textures, models, and effects onto the reformed region. This allows non-experts to easily integrate their content into photogrammetry-based 3D city models for applications like urban planning.
A computer vision-based lane detection approach for an autonomous vehicle usi...
Lane detection systems play a critical role in ensuring safe and secure driving by alerting the driver of lane departures. Lane detection may also save passengers' lives if they go off the road owing to driver distraction. The article presents a three-step approach for detecting lanes on high-speed video pictures in real-time and invariant lighting. The first phase involves doing appropriate prepossessing, such as noise reduction, RGB to grey-scale conversion, and binarizing the input picture. Then, a polygon area in front of the vehicle is picked as the zone of interest to accelerate processing. Finally, the edge detection technique is used to acquire the image's edges in the area of interest, and the Hough transform is used to identify lanes on both sides of the vehicle. The suggested approach was implemented using the IROADS database as a data source. The recommended method is effective in various daylight circumstances, including sunny, snowy, and rainy days, as well as inside tunnels. The proposed approach processes frame on average in 28 milliseconds and have a detection accuracy of 96.78 per cent, as shown by implementation results. This article aims to provide a simple technique for identifying road lines on high-speed video pictures utilizing the edge feature.
1 s2.0-s1110982317300820-main
This paper proposes a semi-automatic approach to extract roads from high-resolution remote sensing images. The approach uses Canny edge detection to initially segment roads. Adjacent segments are then merged using Full Lambda Schedule. Support vector machine (SVM) classification is performed on the image to extract roads. Morphological operators like dilation and erosion are finally applied to remove noise and improve road detection accuracy. The method is evaluated on WorldView, QuickBird, and UltraCam images and shows high accuracy for extracting different road types.
City focus: A web-based interactive 2D and 3D GIS application to find the bes...
City focus: A web-based interactive 2D and 3D GIS application to find the bes...Carolina Arias Muñoz
OGRS2016 (http://2016.ogrs-community.org/) Session: CitySmart, Open Source Apps for Urban Management (chair: Hogan; Brovelli)
IRJET- Bus Route Optimization in Jyothi Engineering College using ARC- GIS
This document discusses optimizing bus routes in Jyothi Engineering College using ArcGIS. It involves collecting data on the existing bus routes, digitizing the routes and roads on a map of Thrissur district. Attributes like distance, time and passenger demand at stops are added. Network analysis using ArcGIS Network Analyst is then used to analyze if the current routes are optimal in terms of distance and time or if alternative optimized routes can be suggested. The analysis found the existing routes to be optimal given the demand. Fully optimizing each route would require separate analysis using vehicle routing problems, but potential alternative routes had less demand, so would not be profitable.
Performance of Phase Congruency and Linear Feature Extraction for Satellite I...
This document summarizes research on extracting linear features from satellite images. It introduces using a phase congruency and linear feature extraction model combined with an adaptive smoothing algorithm. The paper aims to evaluate the advantages and limitations of this approach when applied to satellite image feature extraction. It also describes other common feature extraction methods, such as using mathematical morphology operations like dilation and erosion. Overall, the document reviews techniques for automated linear feature extraction from satellite imagery.
Efficient Road Mapping
The document discusses using laser scanning technology to model highways, roads, and pavements for various applications. It describes three projects where laser scanning was used: 1) surveying an existing highway in Greece for reconstruction, scanning from a lifted device to capture horizontal features; 2) evaluating tarmac deformations at an airport, requiring high accuracy and resolution; 3) evaluating safety improvements at an intersection through 3D modeling and simulations. While laser scanning provides high accuracy and detail, it has disadvantages for long linear objects like highways due to lower productivity and need for significant post-processing. Mobile scanning systems may provide more efficient alternatives.
T3.2 Application domain extention (ADE)
CityGML is an open data model for 3D city models that allows for extensions through Application Domain Extensions (ADEs). This presentation discusses plans to create two new ADEs for the i-SCOPE project to model solar energy potential and inclusive routing. Requirements for noise modeling and mobility will also be examined to determine if portions can be included in new or existing ADEs. A roadmap is proposed to collaboratively develop the new ADEs, test them, create documentation, and train stakeholders.
Analysing road traffic
'Geo-spatial analysis' covers a wide range of analytical techniques which are used in identifying the patterns in Spatial data. Spatial data provides the better understanding of the problem and also in decision making. In order to explore a Geo spatial phenomena we have to categorize the problem and it is done by the better understanding how the data can be expressed for a feature. High population growth rates have posed new traffic management challenges in the urban areas. We are evaluating how Geo-spatial techniques are utilized in Road traffic analysis by visualizing the traffic congestion areas.
A cost-effective GPS-aided autonomous guided vehicle for global path planning
This paper presents a robotic platform of a cost-effective GPS-aided autonomous guided vehicle (AGV) for global path planning. The platform is made of a mechanical radio controlled (RC) rover and an Arduino Uno microcontroller. An installed magnetic digital compass helps determine the right direction of the RC rover by continuously synchronising the heading and bearing of the vehicle. To ensure effective monitoring of the vehicle’s position as well as track the corresponding path, an LCD keypad shield was, further, used. The contribution of the work is that the designed GPS-aided AGV can successfully navigate its way towards a destination point in an obstacle-free outdoor environment by solely relying on its calculation of the shortest path and utilising the corresponding GPS data. This result is achieved with a minimum error possible that lies within a circle of one meter radius around the given destination, allowing the devised GPS-aided AGV to be used in a variety of applications such as landmine detection and removal.
A Method for Predicting Vehicles Motion Based on Road Scene Reconstruction an...
The suggested method helps predicting vehicles movement in order to give the driver more time to react and avoid collisions on roads. The algorithm is dynamically modelling the road scene around the vehicle based on the data from the onboard camera. All moving objects are monitored and represented by the dynamic model on a 2D map. After analyzing every object’s movement, the algorithm predicts its possible behavior.
A 3D reconstruction-based method using unmanned aerial vehicles for the repre...
Due to the fast growth of cities worldwide, roads are increasing daily, and pavement maintenance has become very heavy and costly. Despite all efforts made under the pavement management system to keep the road surface in good shape, several road sections need to be in better condition, which presents a danger for drivers and pedestrians. This paper proposes a novel pavement 3D reconstruction and segmentation approach using the structure from motion technique, unmanned aerial vehicle, and digital camera. The method consists of the 3D modeling of the road by using images taken from different perspectives and the structure from motion technique. In this method, points cloud is sampled and cleaned using statistical outlier removal and noise filters. After that, duplicated and isolated points are eliminated to retain only significant data. The normal road plane is estimated using the principal component analysis technique and the remaining points. This plan presents a root mean square less than 0.85 cm. Finally, distances from those points to the normal plane are calculated and clustered to segment the road into distressed and non-distressed areas. The proposed approach presents a similarity rate to the survey measurement passed 95%. It has demonstrated promising results and has the potential for further improvement by optimizing various steps.
Traffic flow measurement for smart traffic light system design
Determining congestions on intersection roads can significantly improve the performance of a traffic light system. One of the everyday problems on our roads nowadays is the unbalanced traffic on different roads. The blind view of roads and the dependency on the conventional timer-based traffic light systems can cause unnecessary delays on some arterial roads on expense of offering a needless extra pass time on some other secondary minor roads. In this paper, a foreground extraction model has been built in MATLAB platform to measure the congestions on the different roads constructing an intersection. Results show a satisfactory performance in terms of accuracy in counting cars and in consequence reducing the wait time on some major roads. System was tested under different weather and lighting conditions, and results were adequately promising.
Real time vehicle counting in complex scene for traffic flow estimation using...
This document presents a multi-level convolutional neural network (mCNN) framework for real-time vehicle counting and classification in complex traffic scenes. The mCNN framework includes five main modules: pre-processing, object detection, tracking, object classification, and quantification. In the pre-processing stage, images are cropped to remove irrelevant details. A CNN is then used for initial object detection and pre-classification. Detected objects are tracked across frames and a second CNN is used for refined classification before vehicle counts are generated. The mCNN framework is tested on 585 minutes of highway video and achieves an average vehicle counting accuracy of 97.53% and weighted average counting with classification accuracy of 91.5%, demonstrating its effectiveness for real-time
Building Extraction from Satellite Images
This document summarizes a method for detecting buildings from satellite images. It begins with edge detection using Canny edge detection to extract lines from the image. These lines are then input into the Hough Transform to generate line segments. Hypothesis generation searches for rectangular structures using these line segments. Hypothesis verification is performed using color segmentation of the HSV image space and shadow detection. The final output is the extracted buildings from the urban areas of the satellite image.
PREPARATION OF ROAD NETWORK FROM SATELLITE IMAGERY
This document provides an introduction and literature review for a project on extracting roads from satellite imagery using semi-automatic methods. It discusses the objectives of preparing a road network for 16 wards in Thiruvananthapuram Corporation by digitizing roads from satellite images using GIS, identifying missing roads with GPS, and measuring road widths with EDM. It reviews common road extraction methods and the software used, including ERDAS Imagine for image processing and ArcGIS for digitization and database management.
Real time deep-learning based traffic volume count for high-traffic urban art...
This document proposes and tests a deep learning-based system for real-time traffic volume counting on high-traffic urban arterial roads. Video clips from 4 camera views along arterial roads with estimated annual average daily traffic over 50,000 vehicles were used to test the system. The system achieved average accuracy rates between 93.84-97.68% across the camera views for 5 and 15-minute video clips. It was also able to process frames in real-time at an average of 37.27ms per frame. The proposed system provides an accurate and efficient method for traffic authorities to conduct traffic volume surveys on busy urban roads.
Adaboost Clustering In Defining Los Criteria of Mumbai City
Adaboost Clustering In Defining Los Criteria of Mumbai CityInternational Journal of Engineering Inventions www.ijeijournal.com
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.Similar to Airborne vehicle detection in dense urban areas using ho g features and disparity maps (20)
Gis spatial analysis for digital elevation model dem application
Gis spatial analysis for digital elevation model dem application
Embedding user generated content into oblique airborne photogrammetry based 3...
Embedding user generated content into oblique airborne photogrammetry based 3...
A computer vision-based lane detection approach for an autonomous vehicle usi...
A computer vision-based lane detection approach for an autonomous vehicle usi...
City focus: A web-based interactive 2D and 3D GIS application to find the bes...
City focus: A web-based interactive 2D and 3D GIS application to find the bes...
IRJET- Bus Route Optimization in Jyothi Engineering College using ARC- GIS
IRJET- Bus Route Optimization in Jyothi Engineering College using ARC- GIS
Performance of Phase Congruency and Linear Feature Extraction for Satellite I...
Performance of Phase Congruency and Linear Feature Extraction for Satellite I...
A cost-effective GPS-aided autonomous guided vehicle for global path planning
A cost-effective GPS-aided autonomous guided vehicle for global path planning
A Method for Predicting Vehicles Motion Based on Road Scene Reconstruction an...
A Method for Predicting Vehicles Motion Based on Road Scene Reconstruction an...
A 3D reconstruction-based method using unmanned aerial vehicles for the repre...
A 3D reconstruction-based method using unmanned aerial vehicles for the repre...
Traffic flow measurement for smart traffic light system design
Traffic flow measurement for smart traffic light system design
Real time vehicle counting in complex scene for traffic flow estimation using...
Real time vehicle counting in complex scene for traffic flow estimation using...
PREPARATION OF ROAD NETWORK FROM SATELLITE IMAGERY
PREPARATION OF ROAD NETWORK FROM SATELLITE IMAGERY
Real time deep-learning based traffic volume count for high-traffic urban art...
Real time deep-learning based traffic volume count for high-traffic urban art...
Adaboost Clustering In Defining Los Criteria of Mumbai City
Adaboost Clustering In Defining Los Criteria of Mumbai City
Airborne vehicle detection in dense urban areas using ho g features and disparity maps
- 1. ECWAY TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE BANGALORE / HYDRABAD CELL: +91 98949 17187, +91 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 / 8111 VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com AIRBORNE VEHICLE DETECTION IN DENSE URBAN AREAS USING HOG FEATURES AND DISPARITY MAPS ABSTRACT: Vehicle detection has been an important research field for years as there are a lot of valuable applications, ranging from support of traffic planners to real-time traffic management. Especially detection of cars in dense urban areas is of interest due to the high traffic volume and the limited space. In city areas many car-like objects (e.g., dormers) appear which might lead to confusion. Additionally, the inaccuracy of road databases supporting the extraction process has to be handled in a proper way. This paper describes an integrated real-time processing chain which utilizes multiple occurrence of objects in images. At least two subsequent images, data of exterior orientation, a global DEM, and a road database are used as input data. The segments of the road database are projected in the non-geocoded image using the corresponding height information from the global DEM. From amply masked road areas in both images a disparity map is calculated. This map is used to exclude elevated objects above a certain height (e.g., buildings and vegetation). Finally, homogeneous areas are excluded by a fast region growing algorithm. Remaining parts of one input image are classified based on the ‘Histogram of oriented Gradients (HoG)’ features. The implemented approach has been verified using image sections from two different flights and manually extracted ground truth data from the inner city of Munich. The evaluation shows a quality of up to 70 percent.