Toward Automated Driving in Cities using Close-to-Market Sensors, an overview of the V-Charge project P Furgale, P Newman, R Triebel, H Grimmett, et al IEEE Intelligent Vehicles Symposium, 2013 | 172 | 2013 |
Simnet: Learning reactive self-driving simulations from real-world observations L Bergamini, Y Ye, O Scheel, L Chen, C Hu, L Del Pero, B Osiński, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 5119-5125, 2021 | 98 | 2021 |
Automated valet parking and charging for e-mobility U Schwesinger, M Bürki, J Timpner, S Rottmann, L Wolf, LM Paz, ... 2016 IEEE Intelligent Vehicles Symposium (IV), 157-164, 2016 | 95 | 2016 |
Safetynet: Safe planning for real-world self-driving vehicles using machine-learned policies M Vitelli, Y Chang, Y Ye, A Ferreira, M Wołczyk, B Osiński, M Niendorf, ... 2022 International Conference on Robotics and Automation (ICRA), 897-904, 2022 | 69 | 2022 |
Knowing When We Don’t Know: Introspective Classification for Mission-Critical Decision Making H Grimmett, R Triebel, R Paul, I Posner Proc. IEEE International Conference on Robotics and Automation (ICRA), 2013 | 56 | 2013 |
Introspective classification for robot perception H Grimmett, R Triebel, R Paul, I Posner The International Journal of Robotics Research 35 (7), 743-762, 2016 | 55 | 2016 |
Autonomy 2.0: Why is self-driving always 5 years away? A Jain, L Del Pero, H Grimmett, P Ondruska arXiv preprint arXiv:2107.08142, 2021 | 46 | 2021 |
Integrating metric and semantic maps for vision-only automated parking H Grimmett, M Buerki, L Paz, P Pinies, P Furgale, I Posner, P Newman 2015 IEEE International Conference on Robotics and Automation (ICRA), 2159-2166, 2015 | 32 | 2015 |
Driven learning for driving: How introspection improves semantic mapping R Triebel, H Grimmett, R Paul, I Posner Proceedings of International Symposium on Robotics Research (ISRR), 2013 | 32 | 2013 |
Collaborative augmented reality on smartphones via life-long city-scale maps L Platinsky, M Szabados, F Hlasek, R Hemsley, L Del Pero, A Pancik, ... 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2020 | 20 | 2020 |
What data do we need for training an av motion planner? L Chen, L Platinsky, S Speichert, B Osiński, O Scheel, Y Ye, H Grimmett, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 1066-1072, 2021 | 12 | 2021 |
Predicting trajectories of vehicles using large-scale motion priors MS Suraj, H Grimmett, L Platinský, P Ondrúŝka 2018 IEEE Intelligent Vehicles Symposium (IV), 1639-1644, 2018 | 12 | 2018 |
Introspective Active Learning for Scalable Semantic Mapping R Triebel, H Grimmett, R Paul, I Posner | 10 | 2013 |
Confidence Boosting: Improving the Introspectiveness of a Boosted Classifier for Efficient Learning R Triebel, H Grimmett, I Posner Proc. IEEE International Conference on Robotics and Automation (ICRA), 2013 | 4 | 2013 |
Quantity over quality: Training an AV motion planner with large scale commodity vision data L Platinsky, T Naseer, H Chen, B Haines, H Zhu, H Grimmett, L Del Pero 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 2 | 2022 |
Visual vehicle tracking through noise and occlusions using crowd-sourced maps MS Suraj, H Grimmett, L Platinský, P Ondrúška 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 2 | 2018 |
VALUE: Large scale Voting-based Automatic Labelling for Urban Environments G Dabisias, E Ruffaldi, H Grimmett, P Ondruska International Conference on Robotics and Automation (ICRA), 2018 | 2 | 2018 |
Introspective classification for mission-critical decision making R Paul, H Grimmett, R Triebel, I Posner RLDM 2013, 63, 2013 | 1 | 2013 |
Introspective classification for robot perception and decision making H Grimmett University of Oxford, 2016 | | 2016 |