Simultaneous Mapping and Navigation For Rendezvous in Space ApplicationsNandakishor Jahagirdar
To design and develop an image processing algorithm that can identify the target spacecraft docking station as well as the distance, location and angle of the docking station with respect to the chaser vehicle. Making a use of the image from single camera.
SIMULTANEOUS MAPPING AND NAVIGATION FOR RENDEZVOUS IN SPACE APPLICATIONS Nandakishor Jahagirdar
The project is to develop a autonomous navigation system along with mapping of the path.
A robot which senses the edges of the object in the path and move without colliding the object. This application equipped with camera as main component which captures the images and transmitted to workstation through wireless antenna.
The processing of the image is done on a workstation or computer using MATLAB-2013a. An IR ranging device, which senses any objects ahead of it and accordingly the robot change its direction to avoid any collision.
Thus we ensure that even in cases of circumstances leading to errors in the output of the image processing algorithm, a decision can be made using the input from the IR sensors.
Simultaneous Mapping and Navigation For Rendezvous in Space ApplicationsNandakishor Jahagirdar
To design and develop an image processing algorithm that can identify the target spacecraft docking station as well as the distance, location and angle of the docking station with respect to the chaser vehicle. Making a use of the image from single camera.
SIMULTANEOUS MAPPING AND NAVIGATION FOR RENDEZVOUS IN SPACE APPLICATIONS Nandakishor Jahagirdar
The project is to develop a autonomous navigation system along with mapping of the path.
A robot which senses the edges of the object in the path and move without colliding the object. This application equipped with camera as main component which captures the images and transmitted to workstation through wireless antenna.
The processing of the image is done on a workstation or computer using MATLAB-2013a. An IR ranging device, which senses any objects ahead of it and accordingly the robot change its direction to avoid any collision.
Thus we ensure that even in cases of circumstances leading to errors in the output of the image processing algorithm, a decision can be made using the input from the IR sensors.
Due to new developed technology man is leading a comfortable life. People want each work should be done automatically. So in this paper introduces a system called UNMANNED GROUND VEHICLE. UGV as name indicate it operates in contact with ground and without any human resource. The vehicle will have a set of sensors to observe the environment. In this paper for the working of UGV, FPGA is embedded with image processing. FPGA as main processing platform used to control UGV. The performance evaluation of proposed system takes place by capturing the image of UGV with help of camera. This system demonstrate accurate localization of UGV. This UGV vehicle used in military, mall, automobile industry. To work system properly provide proper interfacing and synchronization between hardware/software module.
Design of Image Segmentation Algorithm for Autonomous Vehicle Navigationusing...IJEEE
In the past few years Autonomous vehicles have gained importance due to its widespread applications in the field of civilian and military applications. On-board camera on autonomous vehicles captures the images which need to be processed in real time using the image segmentation algorithm. On board processing of video(frames)in real time is a big challenging task as it involves extracting the information and performing the required operations for navigation.This paper proposes an approach for vision based autonomous vehicle navigation in indoor environment using the designed image segmentation algorithm. The vision based navigation is applied to autonomous vehicle and it is implemented using the Raspberry Pi camera module on Raspberry Pi Model-B+ with the designed image segmentation algorithm. The image segmentation algorithm has been built using smoothing,thresholding, morpho- logical operations, and edge detection. The reference images of directions in the path are detected by the vehicle and accordingly it moves in right or left directions or stops at destination. The vehicle finds the path from source to destination using reference directions. It first captures the video,segments the video(frame by frame), finds the edges in the segmented frame and moves accordingly. The Raspberry Pi also transmits the capture video and segmented results using the Wi-Fi to the remote system for monitoring. The autonomous vehicle is also capable of finding obstacle in its path and the detection is done using the ultrasonic sensors.
Due to new developed technology man is leading a comfortable life. People want each work should be done automatically. So in this paper introduces a system called UNMANNED GROUND VEHICLE. UGV as name indicate it operates in contact with ground and without any human resource. The vehicle will have a set of sensors to observe the environment. In this paper for the working of UGV, FPGA is embedded with image processing. FPGA as main processing platform used to control UGV. The performance evaluation of proposed system takes place by capturing the image of UGV with help of camera. This system demonstrate accurate localization of UGV. This UGV vehicle used in military, mall, automobile industry. To work system properly provide proper interfacing and synchronization between hardware/software module.
Design of Image Segmentation Algorithm for Autonomous Vehicle Navigationusing...IJEEE
In the past few years Autonomous vehicles have gained importance due to its widespread applications in the field of civilian and military applications. On-board camera on autonomous vehicles captures the images which need to be processed in real time using the image segmentation algorithm. On board processing of video(frames)in real time is a big challenging task as it involves extracting the information and performing the required operations for navigation.This paper proposes an approach for vision based autonomous vehicle navigation in indoor environment using the designed image segmentation algorithm. The vision based navigation is applied to autonomous vehicle and it is implemented using the Raspberry Pi camera module on Raspberry Pi Model-B+ with the designed image segmentation algorithm. The image segmentation algorithm has been built using smoothing,thresholding, morpho- logical operations, and edge detection. The reference images of directions in the path are detected by the vehicle and accordingly it moves in right or left directions or stops at destination. The vehicle finds the path from source to destination using reference directions. It first captures the video,segments the video(frame by frame), finds the edges in the segmented frame and moves accordingly. The Raspberry Pi also transmits the capture video and segmented results using the Wi-Fi to the remote system for monitoring. The autonomous vehicle is also capable of finding obstacle in its path and the detection is done using the ultrasonic sensors.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.