DocumentCode :
2746571
Title :
Forward vehicle detection system based on lane-marking tracking with fuzzy adjustable vanishing point mechanism
Author :
Chi, Fu-Hsaing ; Huo, Chih-Li ; Yu, Yu-Hsaing ; Sun, Tsung-Ying
Author_Institution :
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
6
Abstract :
Based on lane-marking tracking with fuzzy adjustable vanishing point mechanism, this paper presents robustness forward vehicle detection system. Compared to most of the detection systems with a large curvature of road trend, which are not effective for the routes to detection and marking. Therefore, follow the current image frame, the proposed system calculate the error between lane detection point and regressed lane-marking lines, and then fuzzy inference system derive and update the proper vanishing point in next image frame. The algorithm proposed in this paper can be carried out for different road situations and adaptive tuning of the car camera has been successfully tested and proven for the highway to the robustness of the system.
Keywords :
automated highways; fuzzy reasoning; fuzzy set theory; object detection; object tracking; regression analysis; video cameras; video surveillance; adaptive tuning; car camera; forward vehicle detection system; fuzzy adjustable vanishing point mechanism; fuzzy inference system; highway; image frame; lane detection point; lane marking line regression; lane marking tracking; Adaptive systems; Cameras; Roads; Robustness; Strontium; Vehicle detection; Vehicles; Forward vehicle detection; Fuzzy adjustable vanishing point; Lane-marking tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
ISSN :
1098-7584
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2012.6250840
Filename :
6250840
Link To Document :
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