Vision based obstacle warning system for on-road driving

Author

Hsieh, Wei-Chung ; Fu, Li-Chen ; Huang, Shin-Shinh

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

4

fYear

2003

fDate

27-31 Oct. 2003

Firstpage

3668

Abstract

Autonomous driving system can assist to prevent the traffic accidents caused by the negligence of the driver. Obstacle detection and warning mechanism plays an important role in this research field. In this paper, we adopt the computer vision technology because of its large detecting range and abundant information when compared to other kinds of sensors. The proposed system is suitable for both the simplified environment such as freeway and the urban environment with complex background. Thus, the result here improves traffic safety not only for drivers, but also for all pedestrians on the road.

Keywords

accident prevention; alarm systems; automated highways; collision avoidance; computer vision; image classification; object detection; road accidents; road safety; safety systems; automated highways; autonomous driving system; collision avoidance; computer vision technology; driver information systems; obstacle detection; obstacle warning system; road pedestrians safety; traffic accidents prevention; traffic safety improvement; vision based system; Accidents; Alarm systems; Cameras; Detection algorithms; Image edge detection; Intelligent transportation systems; Roads; Safety; Shape; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on

Print_ISBN

0-7803-7860-1

Type

conf

DOI

10.1109/IROS.2003.1249725

Filename

1249725