Title :
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
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;
Conference_Titel :
Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7860-1
DOI :
10.1109/IROS.2003.1249725
