| End-to-end interpretable neural motion planner W Zeng, W Luo, S Suo, A Sadat, B Yang, S Casas, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 399 | 2019 |
| Mp3: A unified model to map, perceive, predict and plan S Casas, A Sadat, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 182 | 2021 |
| Perceive, predict, and plan: Safe motion planning through interpretable semantic representations A Sadat, S Casas, M Ren, X Wu, P Dhawan, R Urtasun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 163 | 2020 |
| Advsim: Generating safety-critical scenarios for self-driving vehicles J Wang, A Pun, J Tu, S Manivasagam, A Sadat, S Casas, M Ren, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 119 | 2021 |
| Lookout: Diverse multi-future prediction and planning for self-driving A Cui, S Casas, A Sadat, R Liao, R Urtasun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 100 | 2021 |
| Jointly learnable behavior and trajectory planning for self-driving vehicles A Sadat, M Ren, A Pokrovsky, YC Lin, E Yumer, R Urtasun 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 87 | 2019 |
| Deep multi-task learning for joint localization, perception, and prediction J Phillips, J Martinez, IA Bârsan, S Casas, A Sadat, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 36 | 2021 |
| Testing the safety of self-driving vehicles by simulating perception and prediction K Wong, Q Zhang, M Liang, B Yang, R Liao, A Sadat, R Urtasun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 21 | 2020 |
| Diverse complexity measures for dataset curation in self-driving A Sadat, S Segal, S Casas, J Tu, B Yang, R Urtasun, E Yumer 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 10 | 2021 |
| Universal embeddings for spatio-temporal tagging of self-driving logs S Segal, E Kee, W Luo, A Sadat, E Yumer, R Urtasun Conference on Robot Learning, 973-983, 2021 | 6 | 2021 |
| Generating Motion Scenarios for Self-Driving Vehicles J Wang, AA Pun, X Tu, M Ren, A Sadat, S Casas, S Manivasagam, ... US Patent App. 17/528,549, 2022 | 5 | 2022 |
| Jointly learnable behavior and trajectory planning for autonomous vehicles R Urtasun, A Sadat, M Ren, A Pokrovsky, YC Lin, E Yumer US Patent 11,755,014, 2023 | 3 | 2023 |
| Systems and Methods for Motion Forecasting and Planning for Autonomous Vehicles AY Cui, A Sadat, S Casas, R Liao, R Urtasun US Patent App. 17/528,539, 2022 | 3 | 2022 |
| End-to-end interpretable motion planner for autonomous vehicles W Zeng, W Luo, A Sadat, B Yang, R Urtasun US Patent 11,755,018, 2023 | 1 | 2023 |
| QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving S Biswas, S Casas, Q Sykora, B Agro, A Sadat, R Urtasun arXiv preprint arXiv:2404.01486, 2024 | | 2024 |
| Systems and methods for selecting trajectories based on interpretable semantic representations R Urtasun, A Sadat, S Casas, M Ren US Patent 11,834,069, 2023 | | 2023 |
| End-To-End Interpretable Motion Planner for Autonomous Vehicles W Zeng, W Luo, A Sadat, B Yang, R Urtasun US Patent App. 18/358,443, 2023 | | 2023 |
| Jointly Learnable Behavior and Trajectory Planning for Autonomous Vehicles R Urtasun, YC Lin, A Pokrovsky, M Ren, A Sadat, E Yumer US Patent App. 18/355,188, 2023 | | 2023 |
| Systems and methods for answering region specific questions S Segal, W Luo, ER Kee, E Yumer, R Urtasun, A Sadat US Patent 11,620,838, 2023 | | 2023 |
| Fast and Frugal Autonomous Sustain and Resupply RT Vaughan, J Wawerla, Y Litus, A Lein, A Couture-Beil, A Sadat, G Mori | | 2010 |
