| Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ... arXiv preprint arXiv:2010.09776, 2020 | 230 | 2020 |
| A novel approach for improved vehicular positioning using cooperative map matching and dynamic base station DGPS concept M Rohani, D Gingras, D Gruyer IEEE Transactions on Intelligent Transportation Systems 17 (1), 230-239, 2015 | 141 | 2015 |
| A new decentralized Bayesian approach for cooperative vehicle localization based on fusion of GPS and VANET based inter-vehicle distance measurement M Rohani, D Gingras, V Vigneron, D Gruyer IEEE Intelligent transportation systems magazine 7 (2), 85-95, 2015 | 133 | 2015 |
| Bifold and semantic reasoning for pedestrian behavior prediction A Rasouli, M Rohani, J Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 109 | 2021 |
| Multi-step prediction of occupancy grid maps with recurrent neural networks N Mohajerin, M Rohani Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 93 | 2019 |
| Smarts: An open-source scalable multi-agent rl training school for autonomous driving M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ... Conference on robot learning, 264-285, 2021 | 85 | 2021 |
| 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 | 80 | 2022 |
| Planning system and method for controlling operation of an autonomous vehicle to navigate a planned path M Rohani, J Luo, S Zhang US Patent 10,796,204, 2020 | 58 | 2020 |
| Systems and methods for radar-based localization M Rohani, S Zhang US Patent 10,816,654, 2020 | 50 | 2020 |
| Object detection using radar and machine learning M Rohani, S Zhang, H Chen US Patent 10,353,053, 2019 | 41 | 2019 |
| Understanding and mitigating the limitations of prioritized experience replay Y Pan, J Mei, A Farahmand, M White, H Yao, M Rohani, J Luo Uncertainty in Artificial Intelligence, 1561-1571, 2022 | 38 | 2022 |
| A new decentralized Bayesian approach for cooperative vehicle localization based on fusion of GPS and inter-vehicle distance measurements M Rohani, D Gingras, V Vigneron, D Gruyer 2013 International Conference on Connected Vehicles and Expo (ICCVE), 473-479, 2013 | 37 | 2013 |
| Latentformer: Multi-agent transformer-based interaction modeling and trajectory prediction E Amirloo, A Rasouli, P Lakner, M Rohani, J Luo arXiv preprint arXiv:2203.01880, 2022 | 34 | 2022 |
| Systems and methods for unified mapping of an environment M Rohani, S Zhang US Patent 10,545,229, 2020 | 32 | 2020 |
| A watermarking method based on optimizing SSIM index by using PSO in DCT domain M Rohani, AN Avanaki 2009 14th International CSI computer conference, 418-422, 2009 | 31 | 2009 |
| 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 | 29 | 2021 |
| Dynamic base station DGPS for cooperative vehicle localization M Rohani, D Gingras, D Gruyer 2014 International Conference on Connected Vehicles and Expo (ICCVE), 781-785, 2014 | 25 | 2014 |
| Vehicular cooperative map matching M Rohani, D Gingras, D Gruyer 2014 International Conference on Connected Vehicles and Expo (ICCVE), 799-803, 2014 | 20 | 2014 |
| 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 | 18 | 2020 |
| Method and system for generating predicted occupancy grid maps N MOHAJERIN, M Rohani US Patent 11,465,633, 2022 | 16 | 2022 |
