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005			20260818143640.0
008			091111s2009 th uu|m rtt 0| a1eng d
035			_a.b10758987
099		9	_aAIT Thesis no.CS-09-13
100	0		_aSomphop Limsoonthrakul
245	1	0	_aIntelligent vehicle localization using GPS, compass, and machine vision
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2009
300			_a40 p. : _bill. + _e1 online resource
490	1		_aThesis ; _vno. CS-09-13
500			_aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science (Software Engineering), School of Engineering and Technology
502			_aThesis (M.Eng.) - Asian Institute of Technology, 2009
520			_aIn term of intelligent vehicle localization, GPS have many advantages to overcome other robot{u2019}s perception techniques. It requires less data processing and is independent from distance traveled and noises in vehicle{u2019}s surrounding environment. However, GPS data also has a limitation that its accuracy depends on the number of available satellites and the quality of signal from them. This affects the uncertainty of GPS and quality of localization in urban area. Therefore, other kinds of perception techniques are required to fuse with GPS in order to increase accuracy of localization. This research proposes a technique to use machine vision with GPS and compass to improve the precision of localization in the situation that GPS is unreliable. The technique is to classify road regions from the scene in front of the vehicle. The information of road regions is used as an addition measurement or observation data for localization process. A filtering technique is require to fuse data from multi sensors and in this thesis, the observation data from GPS, compass, and vision technique are fused together with particle filter method.
650		0	_aGlobal Positioning System
650		0	_aComputer vision
650		0	_aElectronics in navigation
700	1		_aDailey, Mathew N., _eChairperson
700	0		_aManukid Parnichkun, _eExamination Committee
700	1		_aKiyoshi, Honda, _eExamination committee
710	2		_aRoyal Thai Government, _eScholarship donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. CS-09-13
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B02097
907			_a.b10758987 _bmnait _cu
902			_a240403
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