Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/65079
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dc.contributor.authorLiu, Dawen
dc.date.accessioned2015-06-15T01:11:02Z
dc.date.available2015-06-15T01:11:02Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10356/65079
dc.description.abstractSmart 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.en_US
dc.format.extent75 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Control and instrumentationen_US
dc.titleDetection of grass using laser scanneren_US
dc.typeThesis
dc.contributor.supervisorWang Dan Weien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US
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