![](https://www.epfl.ch/labs/vita/wp-content/uploads/2020/10/Pedestrians-384x216.jpg)
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.
![](https://www.epfl.ch/labs/vita/wp-content/uploads/2022/02/stopandgo-384x216.jpg)
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.