Modeling spatio-temporal interactions for vehicle trajectory prediction based on graph representation learning

Ziyan Gao, Zhanbo Sun. Modeling spatio-temporal interactions for vehicle trajectory prediction based on graph representation learning. In 24th IEEE International Intelligent Transportation Systems Conference, ITSC 2021, Indianapolis, IN, USA, September 19-22, 2021. pages 1334-1339, IEEE, 2021. [doi]

@inproceedings{GaoS21-9,
  title = {Modeling spatio-temporal interactions for vehicle trajectory prediction based on graph representation learning},
  author = {Ziyan Gao and Zhanbo Sun},
  year = {2021},
  doi = {10.1109/ITSC48978.2021.9565040},
  url = {https://doi.org/10.1109/ITSC48978.2021.9565040},
  researchr = {https://researchr.org/publication/GaoS21-9},
  cites = {0},
  citedby = {0},
  pages = {1334-1339},
  booktitle = {24th IEEE International Intelligent Transportation Systems Conference, ITSC 2021, Indianapolis, IN, USA, September 19-22, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-9142-3},
}