Probabilistic distance estimation for vehicle tracking application in monocular vision

@article{Lessmann2016ProbabilisticDE,
  title={Probabilistic distance estimation for vehicle tracking application in monocular vision},
  author={Stephanie Lessmann and Mirko Meuter and Dennis M{\"u}ller and Josef Pauli},
  journal={2016 IEEE Intelligent Vehicles Symposium (IV)},
  year={2016},
  pages={1199-1204}
}
Measuring absolute distances in monocular vision is challenging and cannot be solved directly. Conventionally, assumptions like an a priori width of the target object or geometric constraints are made to overcome the problem. In this paper we describe a probabilistic solution that integrates distance estimation in a vehicle tracking environment. This is obtained by using a ground plane angle based estimation together with a width interval constraint utilizing a vehicle classifier. Furthermore… CONTINUE READING
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