Title :
On-Board Vision System for Detecting Obstacles
Author :
Lee, John Jaehwan ; Moon, H.S. ; Kim, Y.D. ; Alkhimov, Y.V.
Author_Institution :
Ajou Univ., Suwon
Abstract :
This paper deals with the problem of detecting forward obstacles on the road and proposes a solution for safe driving. To detect a vehicle or an obstacle, obtained image frame goes through three main algorithms, such as finding underneath, edge extraction, counting edge. The main result of the paper is the following: (a) the system architecture designed is very simple; (b) the embedded system achieves the required functionality; and (c) the system performance is stable under various environments such as weather, condition of the road. The major contribution of this paper is the improvement in safe driving.
Keywords :
computer vision; driver information systems; edge detection; embedded systems; object detection; road safety; road vehicles; edge extraction; embedded system; forward obstacle detection; on-board vision system; road vehicle; safe driving; Decoding; Detectors; Field programmable gate arrays; Image edge detection; Image processing; Intelligent transportation systems; Machine vision; Road vehicles; System performance; Vehicle detection;
Conference_Titel :
Modern Technique and Technologies, 2005. MTT 2005. 11th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists
Conference_Location :
Tomsk
Print_ISBN :
978-0-7803-8877-2
Electronic_ISBN :
978-0-7803-8878-9
DOI :
10.1109/SPCMTT.2005.4493178