Detection of potholes
In order for an autonomous unmanned ground vehicle (UGV) to drive on off-road terrain at high speeds, the vehicle has to dynamically interact with the environment around it. Issues that are essential in analyzing includes knowing where the vehicle intends to go, what are the possible hazards around,...
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sg-ntu-dr.10356-502622023-03-04T19:18:51Z Detection of potholes Pang, Sin Loong. Seet Gim Lee, Gerald School of Mechanical and Aerospace Engineering Robotics Research Centre DRNTU::Engineering::Mechanical engineering In order for an autonomous unmanned ground vehicle (UGV) to drive on off-road terrain at high speeds, the vehicle has to dynamically interact with the environment around it. Issues that are essential in analyzing includes knowing where the vehicle intends to go, what are the possible hazards around, and many other details of the topography of the terrain. There has been a lot of research done on how to detect and avoid obstacles, terrain classification and path planning. However, despite the use of the most recent technology it is still not possible for UGV to go through different types of obstacle in high speed autonomously. One of the trickiest challenges is the detection of negative obstacle; mainly due to the difficulty in long range detection. Bachelor of Engineering (Mechanical Engineering) 2012-05-31T04:17:41Z 2012-05-31T04:17:41Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50262 en Nanyang Technological University 75 p. application/pdf |
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DRNTU::Engineering::Mechanical engineering Pang, Sin Loong. Detection of potholes |
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In order for an autonomous unmanned ground vehicle (UGV) to drive on off-road terrain at high speeds, the vehicle has to dynamically interact with the environment around it. Issues that are essential in analyzing includes knowing where the vehicle intends to go, what are the possible hazards around, and many other details of the topography of the terrain. There has been a lot of research done on how to detect and avoid obstacles, terrain classification and path planning. However, despite the use of the most recent technology it is still not possible for UGV to go through different types of obstacle in high speed autonomously. One of the trickiest challenges is the detection of negative obstacle; mainly due to the difficulty in long range detection. |
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Seet Gim Lee, Gerald |
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Seet Gim Lee, Gerald Pang, Sin Loong. |
format |
Final Year Project |
author |
Pang, Sin Loong. |
author_sort |
Pang, Sin Loong. |
title |
Detection of potholes |
title_short |
Detection of potholes |
title_full |
Detection of potholes |
title_fullStr |
Detection of potholes |
title_full_unstemmed |
Detection of potholes |
title_sort |
detection of potholes |
publishDate |
2012 |
url |
http://hdl.handle.net/10356/50262 |
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1759856547764109312 |