Intelligent headlight control using learning-based approaches

@article{Li2011IntelligentHC,
  title={Intelligent headlight control using learning-based approaches},
  author={Ying Li and Norman Haas and Sharath Pankanti},
  journal={2011 IEEE Intelligent Vehicles Symposium (IV)},
  year={2011},
  pages={722-727}
}
This paper describes our recent work on developing an intelligent headlight control system using machine learning-based approaches. Specifically, such a system aims to automatically control a vehicle's beam state (high beam or low beam) during a night-time drive based on the detection of oncoming/overtaking/leading traffics as well as urban areas from the videos captured by a camera. Two machine learning-based approaches, namely, support vector machine (SVM) and AdaBoost, have been applied to… CONTINUE READING

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