Real-Time Single-Stage Vehicle Detector Optimized by Multi-Stage Image-Based Online Hard Example Mining

@article{Lin2020RealTimeSV,
  title={Real-Time Single-Stage Vehicle Detector Optimized by Multi-Stage Image-Based Online Hard Example Mining},
  author={Che-Tsung Lin and Shuping Chen and Patrisia Sherryl Santoso and Hung-Jin Lin and Shang-Hong Lai},
  journal={IEEE Transactions on Vehicular Technology},
  year={2020},
  volume={69},
  pages={1505-1518}
}
  • Che-Tsung Lin, Shuping Chen, +2 authors Shang-Hong Lai
  • Published in
    IEEE Transactions on…
    2020
  • Computer Science
  • Vehicle detection is a fundamental function required for advanced driver assistance systems. Extensive research has shown that good performance can be obtained on public datasets by various state-of-the-art approaches, especially the deep learning methods. However, those methods are mostly two-stage approaches which inevitably require extensive computing resources and are hard to be deployed on an embedded computing platform with real-time computing performance. We introduce a single-stage… CONTINUE READING

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