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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Bibliographic Details
Main Author: Liu, Dawen
Other Authors: Wang Dan Wei
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/65079
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author Liu, Dawen
author2 Wang Dan Wei
author_facet Wang Dan Wei
Liu, Dawen
author_sort Liu, Dawen
collection NTU
description 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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spelling ntu-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
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Liu, Dawen
Detection of grass using laser scanner
title Detection of grass using laser scanner
title_full Detection of grass using laser scanner
title_fullStr Detection of grass using laser scanner
title_full_unstemmed Detection of grass using laser scanner
title_short Detection of grass using laser scanner
title_sort detection of grass using laser scanner
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
url http://hdl.handle.net/10356/65079
work_keys_str_mv AT liudawen detectionofgrassusinglaserscanner