DocumentCode :
3410013
Title :
A Fast and Effective Approach to Lane Marking and Neighboring Vehicles Detections Based on Vision/GPS Sensing Together with Vehicle-to-Vehicle Communication
Author :
Chang, Bao Rong ; Tsai, Hsiu Fen ; Young, Chung-Ping
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taitung Univ., Taitung, Taiwan
Volume :
1
fYear :
2009
fDate :
12-14 Aug. 2009
Firstpage :
3
Lastpage :
8
Abstract :
A fast warning response to an impending crash based on vision/GPS sensing together with V2V communication has been realized to achieve line marking recognition, neighboring vehicles detection, and headway estimation, where a distributed embedded dual-platform DaVinci+XScale-NAV270 was built to improve system effectiveness as well as a data fusion QT-BPNN/ANFIS was applied to dissolving the heterogeneous data. GPS information for each car was exchanged and disseminated each other via dedicated short range communication (DSRC). It performs at the least response time 0.5972 seconds and gets reduced accident rate about 70~82%, superior to two alternative collision warning systems.
Keywords :
Global Positioning System; accident prevention; embedded systems; image recognition; mobile radio; road accidents; sensor fusion; DaVinci+XScale-NAV270; QT-BPNN-ANFIS; collision warning system; data fusion; distributed embedded dual-platform; headway estimation; lane marking recognition; neighboring vehicle detection; vehicle-to-vehicle communication; vision-GPS sensing; Alarm systems; Computer science; Global Positioning System; Hybrid intelligent systems; Pixel; Road accidents; Road vehicles; Telecommunication traffic; Vehicle detection; Vehicle driving; headway estimation; line marking recognition; neighboring vehicles detection; v2v communication; vision/GPS sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
Type :
conf
DOI :
10.1109/HIS.2009.8
Filename :
5254370
Link To Document :
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