RA-L · 2022 · Journal article · Author with a top-venue record

Improving Pedestrian Prediction Models With Self-Supervised Continual Learning

Luzia Knoedler, Chadi Salmi, Hai Zhu, Bruno Brito, Javier Alonso–Mora

Delft University of Technology

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Published in
IEEE Robotics and Automation Letters
Date
2022-02-07
Citations
20
arXiv
2202.07606
Cite
@article{knoedler2022improving,
  title = {Improving Pedestrian Prediction Models With Self-Supervised Continual Learning},
  author = {Luzia Knoedler and Chadi Salmi and Hai Zhu and Bruno Brito and Javier Alonso–Mora},
  year = {2022},
  journal = {IEEE Robotics and Automation Letters},
  eprint = {2202.07606},
  archivePrefix = {arXiv},
  doi = {10.1109/lra.2022.3148475},
  url = {https://arxiv.org/abs/2202.07606},
}