Trajectory Prediction with Graph-based Dual-scale Context Fusion

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Deep Learning DSP
Overview

DSP: Trajectory Prediction with Graph-based Dual-scale Context Fusion

Introduction

This is the project page of the paper

  • Lu Zhang, Peiliang Li, Jing Chen and Shaojie Shen, "Trajectory Prediction with Graph-based Dual-scale Context Fusion", 2021,

which is submitted to the IEEE Robotics and Automation Letters (RA-L).

  • Notice: The code will be released after the publishing of this paper.

Preprint: Link

Video:

video

Demo

  • Color scheme: green - predicted trajectories; red - observation & GT trajectories; orange - other agents.

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Comments
  • Question about the supplementary video

    Question about the supplementary video

    Thank you for sharing this amazing work!

    I watched your supplementary video and surprised by the good quality. i wonder if you predict trajectories for all objects in one calculation or predict each object as target object then combine the results?

    opened by L4zyy 4
Owner
HKUST Aerial Robotics Group
HKUST Aerial Robotics Group
GitHub
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