Corpus ID: 214727620

EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs

@article{Li2020EvolveGraphHM,
  title={EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs},
  author={Jiachen Li and Fan Yang and Masayoshi Tomizuka and Chiho Choi},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.13924}
}
  • Jiachen Li, Fan Yang, +1 author Chiho Choi
  • Published 2020
  • Computer Science
  • ArXiv
  • Multi-agent interacting systems are prevalent in the world, from pure physical systems to complicated social dynamic systems. In many applications, effective understanding of the environment and accurate trajectory prediction of interactive agents play a significant role in downstream tasks, such as decision and planning. In this paper, we propose a generic trajectory forecasting framework (named EvolveGraph) with explicit interaction modeling via a latent interaction graph among multiple… CONTINUE READING

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