DocumentCode :
583407
Title :
Development of driving support system for electric vehicle by using image processing technology
Author :
Sun, Yuxiang ; Wu, Nan ; Tateno, Shigeyuki ; Ogai, Harutoshi
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
fYear :
2012
fDate :
17-21 Oct. 2012
Firstpage :
1965
Lastpage :
1968
Abstract :
Aiming to realize the safe driving for the elderly people and novice drivers, intelligent vehicle technologies are becoming an important research topic in recent years. While driving, sometimes they cannot handle the car in an emergency due to the poor concentration and reaction. In fact, there are a lot of car accidents caused by such people who occasionally step on the accelerator instead of the brake unexpectedly when intending to have an emergency stopping. This paper describes a recognition method for recognizing driving situation. For supporting driving by traffic situation recognition, real-time detection and robustness are increasingly required. In indoor experiments, the RoboCar was used to verify the recognition methods. The algorithm which determines the routes are able to run safety by the CCD camera was used to recognize the white line on both sides of the road. And the image matching algorithm was used to recognize the traffic signs on the routes. The experimental result with high accuracy was successfully obtained.
Keywords :
CCD image sensors; automated highways; automobiles; driver information systems; electric vehicles; image matching; mobile robots; road accidents; road safety; road traffic; CCD camera; RoboCar; accelerator; brake; car accidents; driving situation recognition method; driving support system; elderly people; electric vehicle; emergency stopping; image matching algorithm; image processing technology; intelligent vehicle technologies; novice drivers; real-time detection; safe driving; traffic situation recognition; white line recognition; Cameras; Electric vehicles; Image recognition; Pattern recognition; Process control; Roads; Safety; Electric Vehicle; Image Matching; Image Processing; Sign Recognition; White Line Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8
Type :
conf
Filename :
6393172
Link To Document :
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