LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction

no code implementations • 3 Mar 2022 • Elmira Amirloo, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo

Multi-agent trajectory prediction is a fundamental problem in autonomous driving.

Autonomous Driving Trajectory Prediction

PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D

no code implementations • 14 Dec 2020 • Amir Rasouli, Tiffany Yau, Peter Lakner, Saber Malekmohammadi, Mohsen Rohani, Jun Luo

To this end, we propose a new pedestrian action prediction dataset created by adding per-frame 2D/3D bounding box and behavioral annotations to the popular autonomous driving dataset, nuScenes.

Autonomous Driving Motion Planning +1

Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction

no code implementations • 3 Dec 2020 • Tiffany Yau, Saber Malekmohammadi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo

2) We introduce a new dataset that provides 3D bounding box and pedestrian behavioural annotations for the existing nuScenes dataset.

Autonomous Vehicles Clustering