Meituan Technology Team

Jun 11, 2020 · Artificial Intelligence

Pedestrian Trajectory Prediction: Methodology and Experience from the ICRA 2020 TrajNet++ Competition

The ICRA 2020 TrajNet++ competition challenged teams to predict 4.8‑second pedestrian paths from 3.6‑second observations, and Meituan’s winning solution used a Seq2Seq world‑model that encodes past trajectories, updates a spatio‑temporal interaction map, and decodes future positions, achieving a 1.24 m final displacement error and demonstrating readiness for real‑world unmanned delivery.