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This document presents a new workflow for generating 3D building models to CityGML Level of Detail 3 (LoD3) standards using the Trimble V10 Imaging Rover. The workflow involves data acquisition using the Trimble V10, data processing to create 3D models, data visualization, and integrating the models into the Prime2 spatial data storage model. The research found that this method provides a fast, effective way to produce geometrically accurate and photo-realistic 3D building models that can be easily integrated into existing Prime2 data.
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3D Web Services And Models For The Web: Where Do We Stand?
3D Web Services And Models For The Web: Where Do We Stand?
State of mago3D, An Open Source Based Digital Twin Platform
State of mago3D, An Open Source Based Digital Twin Platform
Smooth, Interactive Rendering and On-line Modification of Large-Scale, Geospa...
Smooth, Interactive Rendering and On-line Modification of Large-Scale, Geospa...
DepthInsight Geoscience Geomodeling Software Technology Introduction
DepthInsight Geoscience Geomodeling Software Technology Introduction
From 2D Drawings to 3D Navigation networks built with FME
From 2D Drawings to 3D Navigation networks built with FME
Unified Geometry Modelling for Pervasive Design and Fabrication
Unified Geometry Modelling for Pervasive Design and Fabrication
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 City
Enabling numerical Simulations in semantic 3D City Models using CityGML
Enabling numerical Simulations in semantic 3D City Models using CityGML
Similar to Linkedin Abstract
DSM Extraction from Pleiades Images using Micmac
This document summarizes a study using the open-source photogrammetry software MicMac to extract digital surface models (DSMs) from Pleiades satellite images. The study used MicMac to generate orthophotographs, point clouds, and DSMs of two areas. For one area, the results included a sparse point cloud, orthophotograph, and shaded relief DSM. For the other area, the workflow generated tie points, grid orientation files, and DEMs and orthophotos. The conclusion was that MicMac can create georeferenced DSMs and digital terrain models from Pleiades images with some adaptations. Future work proposed improving the MicMac application and creating 3D reconstructions.
The Poster of Application of terrestrial 3D laser scanning in building inform...
The document discusses the methodology used in a project applying terrestrial 3D laser scanning in building information modeling (BIM). It describes using a Leica Scan Station C10 laser scanner to collect point cloud data of a target building. Cyclone software was then used to combine the point cloud data with a 3D BIM. Autodesk Revit, a BIM software, was used to create 3D models from the point cloud data. The project involved laser scanning a ship garage to collect point cloud data, processing the raw data in Cyclone, and creating a 3D BIM of the garage in Revit based on the point cloud.
Real-time 3D Object Detection on LIDAR Point Cloud using Complex- YOLO V4
This document discusses improving real-time 3D object detection on LIDAR point clouds using an optimized version of Complex-YOLO V4. The original Complex-YOLO model achieves real-time performance but the authors implement it using YOLO V4 and compare different rotated box IoU losses to achieve faster and more accurate object detection results on the KITTI benchmark. Their improved model shows promising results with higher accuracy while maintaining real-time performance.
Bl32821831
The document describes a study that develops a program to obtain 3D point clouds from digital images without requiring specialized camera setup. The program analyzes images pixel-by-pixel within a user-defined area of interest. Reference points in the image area allow processing a limited region, reducing computation time. The program uses color values and edge detection to identify object pixels and represent them as point clouds. Sample images and their converted 3D models demonstrate the technique.
3D WebGIS using Opensource software
The document provides guidance for a project to implement 3D visualization and analysis tools in an open source web GIS. It outlines objectives to render local terrain data and 3D building models in a web GIS, and develop 3D analysis tools. It describes related work in terrain visualization and 3D city models. Methods discussed include using SRTM data to create terrain tiles, developing techniques to dynamically render 3D building models, and algorithms for terrain profiling and viewshed analysis. The results demonstrate terrain and 3D models rendered on a local server and profile/viewshed tools. Limitations and potential for future work are also discussed.
Visicom 3d models usage
This document discusses the importance of using accurate 3D modeling data for planning and optimizing wireless networks such as 3G, 4G, LTE, and WiMax networks. It notes that the level of detail and accuracy of the modeling data directly impacts the accuracy of network planning, which can reduce network rollout and optimization costs for operators. Higher quality 3D modeling data that accounts for terrain and urban obstacles can increase the distance between base stations by 25-30% while maintaining network quality. The document promotes the 3D modeling services of Visicom, a Ukrainian company, for wireless network planning.
paper
This document summarizes a research project that aims to improve the quality of 3D reconstructions of indoor scenes using dense visual SLAM. The researchers integrated deformation graphs into an existing dense visual SLAM system to better optimize map reconstruction in large-scale environments. They divided the system into two modules: a data collection module that captures RGB-D sensor data and builds a pose graph, and a post-processing module that optimizes the pose graph and applies deformation graphs to the reconstructed map for higher accuracy. Experimental results on benchmark datasets showed their approach improved reconstruction quality over existing dense SLAM methods.
A FRAMEWORK FOR AUTOMATED PROGRESS MONITORING BASED ON HOG FEATURE RECOGNITIO...
A FRAMEWORK FOR AUTOMATED PROGRESS MONITORING BASED ON HOG FEATURE RECOGNITIO...AIRCC Publishing Corporation
Construction target monitoring became one of the key concerns of the construction field. Computer vision based monitoring methods like 2D image, video and 3D laser scan methods have difficulties in meeting real-time and data objectivity requirements. This paper points out the applicability of high resolution remote sensing image (HRRSI) in this task. This paper proposes a way for enhancing Histogram of Gradients (HOG) feature for HRRSI. HOG is applied as the key feature for machine learning, which is carried out by the boosting method. To overcome the complexity of HOGs in HRRSIs, this paper builds a feature framework according to the top, side and height characteristics of engineering ground objects. Based on the feature framework, this paper presents a HRRSI based framework for construction progress monitoring. Through an application case, the performance of the framework is presented. Judging from the result, this method is robust under different seasonal and illuminative conditions.A FRAMEWORK FOR AUTOMATED PROGRESS MONITORING BASED ON HOG FEATURE RECOGNITIO...
Construction target monitoring became one of the key concerns of the construction field. Computer vision
based monitoring methods like 2D image, video and 3D laser scan methods have difficulties in meeting
real-time and data objectivity requirements. This paper points out the applicability of high resolution
remote sensing image (HRRSI) in this task. This paper proposes a way for enhancing Histogram of
Gradients (HOG) feature for HRRSI. HOG is applied as the key feature for machine learning, which is
carried out by the boosting method. To overcome the complexity of HOGs in HRRSIs, this paper builds a
feature framework according to the top, side and height characteristics of engineering ground objects.
Based on the feature framework, this paper presents a HRRSI based framework for construction progress
monitoring. Through an application case, the performance of the framework is presented. Judging from the
result, this method is robust under different seasonal and illuminative conditions.
A Framework for Automated Progress Monitoring Based on HOG Feature Recognitio...
A Framework for Automated Progress Monitoring Based on HOG Feature Recognitio...AIRCC Publishing Corporation
This document proposes a framework for automated construction progress monitoring using HOG feature recognition and high resolution remote sensing images. It begins with an abstract summarizing the framework. It then provides context on the challenges of current computer vision and sensor-based monitoring methods in meeting real-time and objective data requirements. The document proposes that high resolution remote sensing images can help overcome these challenges. It presents an enhanced HOG feature algorithm to recognize engineering objects in remote sensing images by focusing on top and side outline features. Finally, it outlines a progress monitoring framework for construction projects based on object recognition in remote sensing images.Design and implement a reality-based 3D digitisation and modelling project
Design and implement a reality-based 3D digitisation and modelling project
Fabio Remondino, Fabio Menna, 3D Optical Metrology (3DOM) unit Bruno Kessler Foundation (FBK)
Anestis Koutsoudis, Christos Chamzas, Athena Research and Innovation Centre
Sabry El-Hakim, 4DHistory
Paper presented at Digital Heritage 2013
Introduction to mago3D: A Web Based Open Source GeoBIM Platform
I gave this talk at the FOSS4G Asia 2018 held at University of Moratuwa, Sri Lanka. I've added some of recent improvements of mago3D features including CityGML, IndoorGML supporting. Also I've talked about the future plan of mago3D toward Digital Twin platform.
Gis 3 dfeature extraction and modeling
With the global drive towards Building Information Modelling (BIM) compliance gathering pace, we have seen an increased requirement for highly accurate and detailed geospatial data within utilities and engineering projects. This has resulted in a corresponding increase in the application of LIDAR technology within these sectors.
Non-Photorealistic Rendering of 3D Point Clouds for Cartographic Visualization
Presentation for the 2022 EuroCarto contribution on "Non-Photorealistic Rendering of 3D Point Clouds for Cartographic Visualization".
industrial_shed_en
This document summarizes a 3D laser scanning project of an industrial shed in Romania. Key information collected includes a point cloud, Revit BIM model, and 2D survey drawings. Deliverables include the point cloud, 3D model ready for BIM with interior/exterior details, and 2D floor plans, sections and elevations. 3D laser scanning provides accurate, detailed documentation of existing structures to inform preservation, renovation or new construction.
DSM Extraction from Pleiades Images using MICMAC
- The document describes using the MicMac photogrammetry software to create orthophotographs, point clouds, and digital surface models (DSMs) from Pleiades satellite images.
- It reviews two papers on using MicMac and discusses their methods, which include image orientation, tie point calculation, sparse point cloud generation, georeferencing, and dense image correlation to produce outputs.
- The results section shows sample outputs including tie points, sparse point clouds, DEMs, shaded relief images, and orthophotographs produced for case studies in the two papers.
Introduction to mago3D, an Open Source Based Digital Twin Platform
This talk was given at the Busan Eco Delta City(Korea National Pilot Smart City) technical workshop held on 18th July. I talked about introduction and history of mago3D, some core technologies, real cases, and lessons learnt in this workshop.
Application of BIM and Construction Process Simulation using 5D BIM for Resid...
The document discusses the application of 5D Building Information Modeling (BIM) for a residential building project. 5D BIM integrates 3D models, scheduling, and cost estimation to allow for construction process simulation. A case study of a proposed residential building is used to demonstrate the 5D BIM process. A 3D model was created in Autodesk Revit and schedule and cost estimates were prepared in Microsoft Project. These were then combined in Autodesk Navisworks to allow for simulation and visualization of the project over time and cost. The 5D model provides an integrated view of the project that is easier to use than separate documents and allows extraction of scheduling and cost information without referring to other sources.
Use of BIM in planning and construction and implementation in real project
This document provides an overview of Building Information Modeling (BIM) including definitions, the evolution of BIM and design processes, different levels of BIM implementation, and the progression of BIM from 3D to 7D. It discusses advantages and uses of BIM such as improved visualization, coordination, productivity and quality. The document also includes case studies on BIM implementation for infrastructure and building projects in India and China, highlighting challenges addressed and outcomes like reduced costs, clashes, and improved planning.
How to Easily Read and Write CityGML Data (Without Coding)
3D geospatial and GeoBIM data can be notoriously difficult to share. They are both often massive, detailed, and when combined into a single dataset, anything but user-friendly.
Fortunately, for all those who work with these types of urban scale 3D datasets: CityGML is your interoperability solution. With CityGML, you can easily exchange 3D data at various levels of detail. It’s internationally embraced as a cost-effective solution for disaster management, facility management, navigation, environmental simulations, and city planning.
Join us to see how you can read and write data to CityGML, and how it fits into the whole picture of GeoBIM, so you can gain interoperability over your most difficult datasets. We’ll show you how you can:
- Move data between CityGML, Sketchup, MUDDI, CAD, Revit, etc., all without coding
- Change 2D data to 3D for use in CityGML
- Get your preferred level of detail by simplifying models or increasing detail
- Work with nested object-oriented CityGML and more
- Become inspired by customer use cases
By using FME to manage data for CityGML, you can freely exchange data and use it for visualizations and spatial analysis.
Similar to Linkedin Abstract (20)
The Poster of Application of terrestrial 3D laser scanning in building inform...
The Poster of Application of terrestrial 3D laser scanning in building inform...
Real-time 3D Object Detection on LIDAR Point Cloud using Complex- YOLO V4
Real-time 3D Object Detection on LIDAR Point Cloud using Complex- YOLO V4
A FRAMEWORK FOR AUTOMATED PROGRESS MONITORING BASED ON HOG FEATURE RECOGNITIO...
A FRAMEWORK FOR AUTOMATED PROGRESS MONITORING BASED ON HOG FEATURE RECOGNITIO...
A FRAMEWORK FOR AUTOMATED PROGRESS MONITORING BASED ON HOG FEATURE RECOGNITIO...
A FRAMEWORK FOR AUTOMATED PROGRESS MONITORING BASED ON HOG FEATURE RECOGNITIO...
A Framework for Automated Progress Monitoring Based on HOG Feature Recognitio...
A Framework for Automated Progress Monitoring Based on HOG Feature Recognitio...
Design and implement a reality-based 3D digitisation and modelling project
Design and implement a reality-based 3D digitisation and modelling project
Introduction to mago3D: A Web Based Open Source GeoBIM Platform
Introduction to mago3D: A Web Based Open Source GeoBIM Platform
Non-Photorealistic Rendering of 3D Point Clouds for Cartographic Visualization
Non-Photorealistic Rendering of 3D Point Clouds for Cartographic Visualization
Introduction to mago3D, an Open Source Based Digital Twin Platform
Introduction to mago3D, an Open Source Based Digital Twin Platform
Application of BIM and Construction Process Simulation using 5D BIM for Resid...
Application of BIM and Construction Process Simulation using 5D BIM for Resid...
Use of BIM in planning and construction and implementation in real project
Use of BIM in planning and construction and implementation in real project
How to Easily Read and Write CityGML Data (Without Coding)
How to Easily Read and Write CityGML Data (Without Coding)
Linkedin Abstract
- 1. “An Analysis of Trimble’s V10 Imaging Rover for Adding CityGML Level of Detail 3 Geometry to the New Prime2 Spatial Data Storage Model” ABSTRACT: The development of a 3D building model to CityGML standard and Level of Detail 3 (LoD3) using close range photogrammetry techniques is a complex task. The process begins with data acquisition and ends with a fully textured photo-realistic representation of a building. There are numerous image based modelling techniques that can generate visually rich models. However, certain applications or methods are only suitable for visualisation purposes and lack the accuracy to achieve a high level of detail. Furthermore, the achievement of accurate results can be a long process and requires a considerable amount of knowledge of photogrammetric techniques. Therefore, choosing the most appropriate technique is essential. This research presents a method for generating a building model to CityGML LoD3 standard using panoramic imagery captured with Trimble’s V10 Imaging Rover. The aim of this dissertation is to develop a workflow to produce or enhance an existing building model in Prime2 to CityGML LoD3 standard using the Trimble V10 Imaging Rover. This research presents a new approach for generating accurate 3D models. It is divided into four key sections, data acquisition, data processing, data visualisation and data integration and includes a full workflow and an analysis of the different stages and steps involved. The research method provided a fast and effective method to produce a 3D model resulting in a rich geospatial deliverable. It had a high level of geometric accuracy whilst producing a high quality photo realistic model. The approach adopted to integrate the model with existing Prime2 data was both easy to use and offered a high degree of accuracy. From these results, it can be concluded that this study provides an easy method for adding CityGML Level of Detail 3 geometry to the new Prime2 data storage model.