DocumentCode :
2534655
Title :
Sensor alignment towards an omni-directional measurement using an intelligent vehicle
Author :
Zhao, Huijing ; Xiong, Long ; Jiao, Zhigang ; Cui, Jinshi ; Zha, Hongbin ; Shibasaki, Ryosuke
Author_Institution :
Key Lab. of Machine Perception (MOE), Peking Univ., Beijing, China
fYear :
2009
fDate :
3-5 June 2009
Firstpage :
292
Lastpage :
298
Abstract :
An intelligent vehicle system is deeloped, where five single-row laser scannners are mounted on the car to profile object geometry along the streets from different viewpoints and with different directions; a GPS (Global Positioning System)/IMU (Inertial Measurement Unit) based navigation unit is also applied to give outputs of vehicle pose. This paper focus on sensor alignment in order to achieve an omni-directional laser measurement of dynamic urban environment using an intelligent vehicle. An algorithm is proposed, where the laser scanners that facing towards different directions are aligned through horizontal and vertical matching of laser points. Experimental results are presented demonstrating that a comprehensive knowledge of the environment can be achieved, and shortages of each individual sensor can be compensated through such a sensor fusion.
Keywords :
Global Positioning System; automotive electronics; inertial navigation; measurement by laser beam; optical scanners; optical sensors; GPS; comprehensive knowledge; global positioning system; horizontal matching; inertial measurement unit; intelligent vehicle; navigation unit; omnidirectional laser measurement; profile object geometry; sensor alignment; single-row laser scanners; vehicle pose; vertical matching; Geometrical optics; Global Positioning System; Intelligent sensors; Intelligent vehicles; Laser fusion; Measurement units; Navigation; Sensor fusion; Sensor systems; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2009 IEEE
Conference_Location :
Xi´an
ISSN :
1931-0587
Print_ISBN :
978-1-4244-3503-6
Electronic_ISBN :
1931-0587
Type :
conf
DOI :
10.1109/IVS.2009.5164293
Filename :
5164293
Link To Document :
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