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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2009
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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 |
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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 |
_version_ |
1772827848487206912 |