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