Real Time Monocular Vehicle Velocity Estimation using Synthetic Data

@article{McCraith2021RealTM,
  title={Real Time Monocular Vehicle Velocity Estimation using Synthetic Data},
  author={Robert McCraith and Luk{\'a}s Neumann and Andrea Vedaldi},
  journal={2021 IEEE Intelligent Vehicles Symposium (IV)},
  year={2021},
  pages={1406-1412}
}
Vision is one of the primary sensing modalities in autonomous driving. In this paper we look at the problem of estimating the velocity of road vehicles from a camera mounted on a moving car. Contrary to prior methods that train end-to-end deep networks that estimate the vehicles' velocity from the video pixels, we propose a two-step approach where first an off-the-shelf tracker is used to extract vehicle bounding boxes and then a small neural network is used to regress the vehicle velocity from… Expand

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