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