Multimodal trajectory forecasting based on discrete heat map

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.

[1]  Renjie Liao,et al.  LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting , 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[2]  R. Urtasun,et al.  Learning Lane Graph Representations for Motion Forecasting , 2020, ECCV.

[3]  Leonidas J. Guibas,et al.  PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).