English

Multimodal trajectory forecasting based on discrete heat map

Computer Vision and Pattern Recognition 2021-06-23 v1

Abstract

In Argoverse motion forecasting competition, the task is to predict the probabilistic future trajectory distribution for the interested targets in the traffic scene. We use vectorized lane map and 2 s targets' history trajectories as input. Then the model outputs 6 forecasted trajectories with probability for each target.

Cite

@article{arxiv.2106.11467,
  title  = {Multimodal trajectory forecasting based on discrete heat map},
  author = {Jingni Yuan and Jianyun Xu and Yushi Zhu},
  journal= {arXiv preprint arXiv:2106.11467},
  year   = {2021}
}
R2 v1 2026-06-24T03:26:57.176Z