Characteristic-based vehicle recognition for collision detection
Pages 497 - 502
Abstract
This report details the development and testing of a characteristic-based vehicle identification system for a monovision camera. The method described applies a Canny filter and a simple Hough transform to a camera feed. Then, using a projection of the road surface and thresholding with hysteresis, leading vehicles are identified so that the following distance and closing rate can be determined for the purposes of driver assistance. The resulting system achieved an output accuracy of 80% when tested on a video of mixed driving conditions.
References
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Index Terms
- Characteristic-based vehicle recognition for collision detection
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Association for Computing Machinery
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Published: 26 November 2012
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