DocumentCode
3266033
Title
Landmark Pair based Localization for Intelligent Vehicles using Laser Radar
Author
Wu, Shun-Xi ; Yang, Ming
Author_Institution
Shanghai Jiao Tong Univ., Shanghai
fYear
2007
fDate
13-15 June 2007
Firstpage
209
Lastpage
214
Abstract
Localization, namely pose estimation is of great importance in the research of intelligent vehicles. In this paper, after a simple overview of existing methods, a method of laser radar localization based on landmark pairs (L3P) is presented, which is an improved algorithm of localization based on landmarks to overcome problems of traditional methods, such as low reliability and low robustness of landmark detection, etc. This algorithm has been verified on both synthetic data and real range data in the outdoor environment. Experimental results demonstrate its high accuracy, high robustness to noises and low computation.
Keywords
Kalman filters; mobile robots; nonlinear filters; object detection; optical radar; path planning; pose estimation; extended Kalman filter; intelligent vehicle; landmark pair detection; laser radar localization; mobile robot; pose estimation; Intelligent vehicles; Laser radar; Motion estimation; Noise robustness; Radar detection; Radar tracking; Shape; State estimation; Vehicle detection; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location
Istanbul
ISSN
1931-0587
Print_ISBN
1-4244-1067-3
Electronic_ISBN
1931-0587
Type
conf
DOI
10.1109/IVS.2007.4290116
Filename
4290116
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