Applying fuzzy method to vision-based lane detection and departure warning system

Expert Systems with Applications

Volumn 37, Issue 1, 2010, Pages 113-126

  Wang, Jyun Guo ^a   Lin, Cheng Jian ^b   Chen, Shyi Ming ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Fuzzy C mean; Lane departure warning system; Lane detection; Self clustering algorithm

Indexed keywords

ANGLE RELATION; BOUNDARY INFORMATION; CANNY ALGORITHM; CAR ACCIDENTS; DRIVING FATIGUE; FRAME RATE; FUZZY C-MEAN; FUZZY METHODS; HIGH GROWTH; LANE DEPARTURE WARNING; LANE DEPARTURE WARNING SYSTEM; LANE DETECTION; LIGHT CONDITIONS; SELF-CLUSTERING ALGORITHM; SELF-CLUSTERING ALGORITHMS; SPATIAL INFORMATIONS; SYSTEM USE; TRAFFIC ACCIDENTS; VISION BASED; WARNING SIGNALS; WARNING SYSTEMS;

ACCIDENTS; ALARM SYSTEMS; AUTOMOBILE DRIVERS; EDGE DETECTION;

CLUSTERING ALGORITHMS;

EID: 70349599016     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.05.026     Document Type: Article

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