LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion

Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun. LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. In Jens Kober, Fabio Ramos, Claire J. Tomlin, editors, 4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, MA, USA. Volume 155 of Proceedings of Machine Learning Research, pages 31-48, PMLR, 2020. [doi]

@inproceedings{ShahHLLBZVU20,
  title = {LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion},
  author = {Meet Shah and Zhiling Huang and Ankit Laddha and Matthew Langford and Blake Barber and Sida Zhang and Carlos Vallespi-Gonzalez and Raquel Urtasun},
  year = {2020},
  url = {https://proceedings.mlr.press/v155/shah21a.html},
  researchr = {https://researchr.org/publication/ShahHLLBZVU20},
  cites = {0},
  citedby = {0},
  pages = {31-48},
  booktitle = {4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, MA, USA},
  editor = {Jens Kober and Fabio Ramos and Claire J. Tomlin},
  volume = {155},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}