Target detection and bearing estimation using a spherical multi-camera system, for autonomous vehicles

In our high-tech society, robots are being used for more and more applications, from mundane household chores, to dangerous military missions, and even precise medical operations. Autonomous vehicles can be considered a kind of robot. For all of these applications, it is crucial that the robot i...

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Main Author: Chiang, Samuel JingZhong.
Other Authors: Wijerupage Sardha Wijesoma
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/17994
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-179942023-07-07T17:05:52Z Target detection and bearing estimation using a spherical multi-camera system, for autonomous vehicles Chiang, Samuel JingZhong. Wijerupage Sardha Wijesoma School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In our high-tech society, robots are being used for more and more applications, from mundane household chores, to dangerous military missions, and even precise medical operations. Autonomous vehicles can be considered a kind of robot. For all of these applications, it is crucial that the robot is able to ‘see’. This project aims to detect targets surrounding a robot, and identify their state (bearing), thereby giving robots some form of ‘sight’. With the aid of a camera, images are obtained, and an algorithm is developed to process and extract information from them. This algorithm is tested on multiple targets, in multiple position (around), and at various distances from the camera. A software package for target detection and bearing estimation was also developed. Bachelor of Engineering 2009-06-18T07:35:41Z 2009-06-18T07:35:41Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17994 en Nanyang Technological University 78 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Chiang, Samuel JingZhong.
Target detection and bearing estimation using a spherical multi-camera system, for autonomous vehicles
description In our high-tech society, robots are being used for more and more applications, from mundane household chores, to dangerous military missions, and even precise medical operations. Autonomous vehicles can be considered a kind of robot. For all of these applications, it is crucial that the robot is able to ‘see’. This project aims to detect targets surrounding a robot, and identify their state (bearing), thereby giving robots some form of ‘sight’. With the aid of a camera, images are obtained, and an algorithm is developed to process and extract information from them. This algorithm is tested on multiple targets, in multiple position (around), and at various distances from the camera. A software package for target detection and bearing estimation was also developed.
author2 Wijerupage Sardha Wijesoma
author_facet Wijerupage Sardha Wijesoma
Chiang, Samuel JingZhong.
format Final Year Project
author Chiang, Samuel JingZhong.
author_sort Chiang, Samuel JingZhong.
title Target detection and bearing estimation using a spherical multi-camera system, for autonomous vehicles
title_short Target detection and bearing estimation using a spherical multi-camera system, for autonomous vehicles
title_full Target detection and bearing estimation using a spherical multi-camera system, for autonomous vehicles
title_fullStr Target detection and bearing estimation using a spherical multi-camera system, for autonomous vehicles
title_full_unstemmed Target detection and bearing estimation using a spherical multi-camera system, for autonomous vehicles
title_sort target detection and bearing estimation using a spherical multi-camera system, for autonomous vehicles
publishDate 2009
url http://hdl.handle.net/10356/17994
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