| A review of motion planning techniques for automated vehicles D González, J Pérez, V Milanés, F Nashashibi IEEE Transactions on intelligent transportation systems 17 (4), 1135-1145, 2015 | 1926 | 2015 |
| Real time trajectory prediction for collision risk estimation between vehicles S Ammoun, F Nashashibi 2009 IEEE 5Th international conference on intelligent computer communication …, 2009 | 350 | 2009 |
| Sparse and dense data with cnns: Depth completion and semantic segmentation M Jaritz, R De Charette, E Wirbel, X Perrotton, F Nashashibi 2018 International Conference on 3D Vision (3DV), 52-60, 2018 | 326 | 2018 |
| Attention based vehicle trajectory prediction K Messaoud, I Yahiaoui, A Verroust-Blondet, F Nashashibi IEEE Transactions on Intelligent Vehicles 6 (1), 175-185, 2020 | 324 | 2020 |
| Real time visual traffic lights recognition based on spot light detection and adaptive traffic lights templates R De Charette, F Nashashibi 2009 IEEE Intelligent Vehicles Symposium, 358-363, 2009 | 291 | 2009 |
| Modeling and nonlinear adaptive control for autonomous vehicle overtaking P Petrov, F Nashashibi IEEE Transactions on Intelligent Transportation Systems 15 (4), 1643-1656, 2014 | 254 | 2014 |
| Cooperative multi-vehicle localization using split covariance intersection filter H Li, F Nashashibi IEEE Intelligent transportation systems magazine 5 (2), 33-44, 2013 | 253 | 2013 |
| Vehicle to pedestrian communications for protection of vulnerable road users JJ Anaya, P Merdrignac, O Shagdar, F Nashashibi, JE Naranjo 2014 IEEE Intelligent Vehicles Symposium Proceedings, 1037-1042, 2014 | 243 | 2014 |
| Vehicle detection combining gradient analysis and AdaBoost classification A Khammari, F Nashashibi, Y Abramson, C Laurgeau Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005., 66-71, 2005 | 237 | 2005 |
| End-to-end race driving with deep reinforcement learning M Jaritz, R De Charette, M Toromanoff, E Perot, F Nashashibi 2018 IEEE international conference on robotics and automation (ICRA), 2070-2075, 2018 | 221 | 2018 |
| Traffic light recognition using image processing compared to learning processes R De Charette, F Nashashibi 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009 | 170 | 2009 |
| Non-local social pooling for vehicle trajectory prediction K Messaoud, I Yahiaoui, A Verroust-Blondet, F Nashashibi 2019 IEEE Intelligent Vehicles Symposium (IV), 975-980, 2019 | 153 | 2019 |
| Continuous curvature planning with obstacle avoidance capabilities in urban scenarios D González, J Pérez, R Lattarulo, V Milanés, F Nashashibi 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 146 | 2014 |
| Trajectory prediction for autonomous driving based on multi-head attention with joint agent-map representation K Messaoud, N Deo, MM Trivedi, F Nashashibi 2021 IEEE intelligent vehicles symposium (IV), 165-170, 2021 | 141 | 2021 |
| Dynamic trajectory generation using continuous-curvature algorithms for door to door assistance vehicles JP Rastelli, R Lattarulo, F Nashashibi 2014 IEEE Intelligent Vehicles Symposium Proceedings, 510-515, 2014 | 130 | 2014 |
| Multivehicle cooperative local mapping: A methodology based on occupancy grid map merging H Li, M Tsukada, F Nashashibi, M Parent IEEE Transactions on Intelligent Transportation Systems 15 (5), 2089-2100, 2014 | 106 | 2014 |
| Platooning control using visible light communications: A feasibility study MY Abualhoul, M Marouf, O Shagdar, F Nashashibi 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 106 | 2013 |
| Lidar-based lane marking detection for vehicle positioning in an hd map F Ghallabi, F Nashashibi, G El-Haj-Shhade, MA Mittet 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 103 | 2018 |
| Split covariance intersection filter: Theory and its application to vehicle localization H Li, F Nashashibi, M Yang IEEE Transactions on Intelligent Transportation Systems 14 (4), 1860-1871, 2013 | 99 | 2013 |
| Laser-based vehicles tracking and classification using occlusion reasoning and confidence estimation F Nashashibi, A Bargeton 2008 IEEE Intelligent Vehicles Symposium, 847-852, 2008 | 98 | 2008 |
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