DocumentCode
1582827
Title
Lane geometry detection for the guidance of smart vehicle
Author
Wong, Swee Meng ; Xie, Ming
Author_Institution
Sch. of Mech. & Production Eng., Nanyang Technol. Univ., Singapore
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
925
Lastpage
928
Abstract
Numerous road traffic accidents occur because the human driver fails to perceive the danger due to human error, or simply drives too rashly. If a robust electronic driver can be developed that includes sensors, an active vision system, a GPS system, etc., that can assist the human driver, such accidents may be avoided. This motivates our research in developing an electronic driver. In this paper, we discuss the perception aspects of the electronic driver and provide the results of real experiments. Specifically, our proposed method to detect lane geometry is presented
Keywords
Global Positioning System; accidents; active vision; geometry; image sensors; mobile robots; road vehicles; CyCab; GPS; active vision system; danger; electronic driver; human driver assistance; human error; lane geometry detection; perception; road traffic accidents; sensors; smart vehicle guidance; Driver circuits; Geometry; Humans; Intelligent sensors; Intelligent vehicles; Navigation; Road accidents; Robustness; Sensor systems; Vehicle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference on
Conference_Location
Tokyo
Print_ISBN
0-7803-4975-X
Type
conf
DOI
10.1109/ITSC.1999.821187
Filename
821187
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