TrajNet++ : Interaction-centric Human Trajectory Forecasting Benchmark

Current neural network-based human trajectory forecasting models have been trained on limited data without an explicit focus on socially-interacting trajectories. We present TrajNet++, a large-scale interaction-centric benchmark.​

TRANS: Pedestrian Stop and Go

Benchmark for prediction of whether pedestrians will stop walking (Stop) or start to walk (Go) in the near future, for better trajectory prediction around road traffic.