Detection of grass using laser scanner
Smart vehicle is an rapidly increasing field. The ultimate goal is to develop the ability for our cars to travel without human control. As a result, the necessity of applying sensing system becomes more and more important. Laser range finder is a kind of sensor which can provide real-time a...
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sg-ntu-dr.10356-650792023-07-04T15:36:10Z Detection of grass using laser scanner Liu, Dawen Wang Dan Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Smart vehicle is an rapidly increasing field. The ultimate goal is to develop the ability for our cars to travel without human control. As a result, the necessity of applying sensing system becomes more and more important. Laser range finder is a kind of sensor which can provide real-time and accurate distance information. In this dissertation, a single laser range finder is used to scan the surroundings. These data are processed to produce the detection result. Main objective of the work is to distinguish grass and non-grass and reflect the result in RVIZ. The main algorithm is to do segmentation first, then use the points of each segment to fit a line, and finally, calculate the covariance and compare the covariance to a threshold. Master of Science (Computer Control and Automation) 2015-06-15T01:11:02Z 2015-06-15T01:11:02Z 2014 2014 Thesis http://hdl.handle.net/10356/65079 en 75 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Liu, Dawen Detection of grass using laser scanner |
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Smart vehicle is an rapidly increasing field. The ultimate goal is to develop the
ability for our cars to travel without human control. As a result, the necessity of
applying sensing system becomes more and more important. Laser range finder is a
kind of sensor which can provide real-time and accurate distance information.
In this dissertation, a single laser range finder is used to scan the surroundings.
These data are processed to produce the detection result. Main objective of the
work is to distinguish grass and non-grass and reflect the result in RVIZ. The main
algorithm is to do segmentation first, then use the points of each segment to fit a
line, and finally, calculate the covariance and compare the covariance to a threshold. |
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Wang Dan Wei |
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Wang Dan Wei Liu, Dawen |
format |
Theses and Dissertations |
author |
Liu, Dawen |
author_sort |
Liu, Dawen |
title |
Detection of grass using laser scanner |
title_short |
Detection of grass using laser scanner |
title_full |
Detection of grass using laser scanner |
title_fullStr |
Detection of grass using laser scanner |
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Detection of grass using laser scanner |
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detection of grass using laser scanner |
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2015 |
url |
http://hdl.handle.net/10356/65079 |
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1772826603810717696 |