| Optimization‐based autonomous racing of 1: 43 scale RC cars A Liniger, A Domahidi, M Morari Optimal Control Applications and Methods 36 (5), 628-647, 2015 | 622 | 2015 |
| Learning-based model predictive control for autonomous racing J Kabzan, L Hewing, A Liniger, MN Zeilinger IEEE Robotics and Automation Letters 4 (4), 3363-3370, 2019 | 420 | 2019 |
| Optimization-based collision avoidance X Zhang, A Liniger, F Borrelli IEEE Transactions on Control Systems Technology 29 (3), 972-983, 2020 | 355 | 2020 |
| Autonomous vehicles on the edge: A survey on autonomous vehicle racing J Betz, H Zheng, A Liniger, U Rosolia, P Karle, M Behl, V Krovi, ... IEEE Open Journal of Intelligent Transportation Systems 3, 458-488, 2022 | 216 | 2022 |
| End-to-end urban driving by imitating a reinforcement learning coach Z Zhang, A Liniger, D Dai, F Yu, L Van Gool Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 174 | 2021 |
| AMZ driverless: The full autonomous racing system J Kabzan, MI Valls, VJF Reijgwart, HFC Hendrikx, C Ehmke, M Prajapat, ... Journal of Field Robotics 37 (7), 1267-1294, 2020 | 172 | 2020 |
| Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars L Hewing, A Liniger, MN Zeilinger European Control Conference (ECC 2018), 2018 | 167 | 2018 |
| Autonomous parking using optimization-based collision avoidance X Zhang, A Liniger, A Sakai, F Borrelli 2018 IEEE Conference on Decision and Control (CDC), 4327-4332, 2018 | 156 | 2018 |
| A noncooperative game approach to autonomous racing A Liniger, J Lygeros IEEE Transactions on Control Systems Technology 28 (3), 884-897, 2019 | 148 | 2019 |
| P3depth: Monocular depth estimation with a piecewise planarity prior V Patil, C Sakaridis, A Liniger, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 116 | 2022 |
| Structured bird's-eye-view traffic scene understanding from onboard images YB Can, A Liniger, DP Paudel, L Van Gool Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 111 | 2021 |
| Deep gradient learning for efficient camouflaged object detection GP Ji, DP Fan, YC Chou, D Dai, A Liniger, L Van Gool Machine Intelligence Research 20 (1), 92-108, 2023 | 102 | 2023 |
| Real-time control for autonomous racing based on viability theory A Liniger, J Lygeros IEEE Transactions on Control Systems Technology 27 (2), 464 - 478, 2017 | 81 | 2017 |
| Learnable online graph representations for 3d multi-object tracking JN Zaech, A Liniger, D Dai, M Danelljan, L Van Gool IEEE Robotics and Automation Letters 7 (2), 5103-5110, 2022 | 71 | 2022 |
| Optimization-based hierarchical motion planning for autonomous racing JL Vázquez, M Brühlmeier, A Liniger, A Rupenyan, J Lygeros 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 69 | 2020 |
| Uncertainty guided policy for active robotic 3d reconstruction using neural radiance fields S Lee, L Chen, J Wang, A Liniger, S Kumar, F Yu IEEE Robotics and Automation Letters 7 (4), 12070-12077, 2022 | 58 | 2022 |
| Quantifying data augmentation for lidar based 3d object detection M Hahner, D Dai, A Liniger, L Van Gool arXiv preprint arXiv:2004.01643, 2020 | 56 | 2020 |
| Efficient implementation of randomized MPC for miniature race cars JV Carrau, A Liniger, X Zhang, J Lygeros 2016 European Control Conference (ECC), 957-962, 2016 | 54 | 2016 |
| Real-time control for at-limit handling driving on a predefined path T Novi, A Liniger, R Capitani, C Annicchiarico Vehicle system dynamics, 2020 | 52 | 2020 |
| Deep interactive motion prediction and planning: Playing games with motion prediction models JLV Espinoza, A Liniger, W Schwarting, D Rus, L Van Gool Learning for Dynamics and Control Conference, 1006-1019, 2022 | 47* | 2022 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVerified email at insait.ai
