DocumentCode :
3125732
Title :
Estimation of preceding vehicle´s driving state
Author :
Araki, Hideo ; Hiroshima, Yasuhisa ; Ito, Toshio
Author_Institution :
Div. of Electron. Eng., Daihatsu Motor Co. Ltd., Osaka, Japan
fYear :
1997
fDate :
9-12 Nov 1997
Firstpage :
242
Lastpage :
247
Abstract :
Estimation methods of the driving state (position, velocity, acceleration) and the lane displacement of forward vehicles are proposed. The lane displacement denotes the lateral displacement from the host vehicle´s running lane. The driving state of each vehicle is estimated using Kalman filter; and it is corrected in the case that the estimation error becomes large, which means the acceleration change of the vehicle. The running lane of each vehicle is also estimated from their driving state. The effectiveness of the proposed methods is then confirmed by simulations and experiments
Keywords :
Kalman filters; computer vision; intelligent control; optical radar; position control; road vehicles; state estimation; Kalman filter; driving state; forward vehicles; intelligent control; lane displacement; laser radar; lateral displacement; machine vision; road vehicles; Acceleration; Cameras; Data mining; Intelligent vehicles; Laser radar; Remotely operated vehicles; Road vehicles; State estimation; Vehicle driving; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4269-0
Type :
conf
DOI :
10.1109/ITSC.1997.660482
Filename :
660482
Link To Document :
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