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Classification and tracking of large vehicles for night driving | IEEE Conference Publication | IEEE Xplore

Classification and tracking of large vehicles for night driving


Abstract:

Night driving is dangerous already, but when driving near a large vehicle, the danger multiplies. Because the attention of the driver at night could be distracted thus fa...Show More

Abstract:

Night driving is dangerous already, but when driving near a large vehicle, the danger multiplies. Because the attention of the driver at night could be distracted thus fail to pay attention to dangerously large vehicles, we propose a component for ADAS systems that will help alert the drivers to the presence of large vehicles. This component utilizes a combination of rear lights detector, LBP-based Adaboost classifier and a BOF classifier that uses patent-free feature extractors/descriptors to extract and verify the existence of large vehicles. The preliminary experimental results show that this combination of setup is feasible in achieving desired results.
Date of Conference: 11-14 October 2016
Date Added to IEEE Xplore: 29 December 2016
ISBN Information:
Conference Location: Kyoto, Japan

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