Multi-modal hybrid architecture for pedestrian action prediction A Rasouli, T Yau, M Rohani, J Luo 2022 IEEE intelligent Vehicles symposium (IV), 91-97, 2022 | 53 | 2022 |
Graph-sim: A graph-based spatiotemporal interaction modelling for pedestrian action prediction T Yau, S Malekmohammadi, A Rasouli, P Lakner, M Rohani, J Luo 2021 IEEE International Conference on Robotics and Automation (ICRA), 8580-8586, 2021 | 27 | 2021 |
PePScenes: A novel dataset and baseline for pedestrian action prediction in 3D A Rasouli, T Yau, P Lakner, S Malekmohammadi, M Rohani, J Luo arXiv preprint arXiv:2012.07773, 2020 | 16 | 2020 |
Method and system for graph neural network based pedestrian action prediction in autonomous driving systems S Malekmohammadi, TYK Yau, A Rasouli, M Rohani, J Luo US Patent App. 18/309,150, 2023 | 2 | 2023 |