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- W1521453704 abstract "Various researches about the vehicle detection and tracking using a vision sensor are done actively for the driver assistance systems (DAS), that is, a collision warning and avoidance system, a vision enhancement system, etc. But most researches about those are done in the day time with a good light condition and some researches in the night time are done without interference of headlights of other vehicles. This paper proposes vehicle detection and tracking methods robustly operated regardless of a light and road condition and a distance. This paper proposes the simple method can determine the light condition using several images and we apply other vehicle detection method by the light condition. The proposed vehicle detection method in the day time image can extract the shadow region and verify by other vehicle features, such as symmetry rate, vertical edge, lane information. The vehicle detection method in the night time can extract bright regions and verify by vehicle width in several continuous frames. The vehicle tracking method uses the online template matching using the mean image created by several continuous detection results." @default.
- W1521453704 created "2016-06-24" @default.
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- W1521453704 date "2005-01-01" @default.
- W1521453704 modified "2023-09-24" @default.
- W1521453704 title "Front and Rear Vehicle Detection and Tracking in the Day and Night Time Using Vision and Sonar Sensors" @default.
- W1521453704 hasPublicationYear "2005" @default.
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