DocumentCode :
2883775
Title :
Estimation of heading angle through analysis by area size of lane
Author :
Kim, Jung-Won ; Kim, Tea-Ho ; Jo, Kang-Hyun
Author_Institution :
Grad. Sch. of Electr. Eng., Univ. of Ulsan, Ulsan, South Korea
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
4504
Lastpage :
4508
Abstract :
This paper describes an algorithm for the estimation method of ego-vehicle´s heading angle. Why the angle is important is that the heading angle gives it the predictable information for the vehicle localization while driving. If driver can know about vehicle localization, a collision is predictable in advance. The main idea is that area size of the lane changing uniformly according to the vehicle heading angle while the vehicle is moving on uniform velocity when vehicle changes the lane. The proposed algorithm has 2 steps mainly. Firstly, road lane belonging to driving vehicle is detected. Secondly, the area size of the lane can be calculated. In a result, the area size change regularly according to the fixed velocity of the vehicle under the uniform velocity. The virtual images are used to guarantee uniform velocity and heading angle of vehicle.
Keywords :
accident prevention; driver information systems; road vehicles; ego-vehicle heading angle estimation; lane area size analysis; uniform velocity; vehicle collision prediction; vehicle localization; virtual images; Estimation; Feature extraction; Image color analysis; Intelligent vehicles; Labeling; Roads; Vehicles; Driving assistance system; Heading angle of vehicle; Lane detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
ISSN :
1553-572X
Print_ISBN :
978-1-61284-969-0
Type :
conf
DOI :
10.1109/IECON.2011.6120051
Filename :
6120051
Link To Document :
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