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Hugo Grimmett
Hugo Grimmett
Lyft
Bestätigte E-Mail-Adresse bei lyft.com
Titel
Zitiert von
Zitiert von
Jahr
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
1722013
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
982021
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
952016
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
692022
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
562013
Introspective classification for robot perception
H Grimmett, R Triebel, R Paul, I Posner
The International Journal of Robotics Research 35 (7), 743-762, 2016
552016
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
462021
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
322015
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
322013
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
202020
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
122021
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
122018
Introspective Active Learning for Scalable Semantic Mapping
R Triebel, H Grimmett, R Paul, I Posner
102013
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
42013
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
22022
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
22018
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
22018
Introspective classification for mission-critical decision making
R Paul, H Grimmett, R Triebel, I Posner
RLDM 2013, 63, 2013
12013
Introspective classification for robot perception and decision making
H Grimmett
University of Oxford, 2016
2016
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