Hugo Grimmett

According to our database, Hugo Grimmett authored at least 16 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data.

Lukas Platinsky, Tayyab Naseer, Hui Chen, Ben Haines, Haoyue Zhu, Hugo Grimmett, Luca Del Pero

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies.

Matt Vitelli, Yan Chang, Yawei Ye, Ana Ferreira, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies.

Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska

CoRR, 2021

Autonomy 2.0: Why is self-driving always 5 years away?

Ashesh Jain, Luca Del Pero, Hugo Grimmett, Peter Ondruska

CoRR, 2021

What data do we need for training an AV motion planner?

Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondruska

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations.

Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Collaborative Augmented Reality on Smartphones via Life-long City-scale Maps.

Lukas Platinsky, Michal Szabados, Filip Hlasek, Ross Hemsley, Luca Del Pero, Andrej Pancik, Bryan Baum, Hugo Grimmett, Peter Ondruska

Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, 2020

2018

Predicting trajectories of vehicles using large-scale motion priors.

M. S. Suraj, Hugo Grimmett, Lukas Platinsky, Peter Ondruska

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Visual Vehicle Tracking Through Noise and Occlusions Using Crowd-Sourced Maps.

M. S. Suraj, Hugo Grimmett, Lukas Platinsky, Peter Ondruska

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

VALUE: Large Scale Voting-Based Automatic Labelling for Urban Environments.

Giacomo Dabisias, Emanuele Ruffaldi, Hugo Grimmett, Peter Ondruska

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2016

Introspective classification for robot perception.

Hugo Grimmett, Rudolph Triebel, Rohan Paul, Ingmar Posner

Int. J. Robotics Res., 2016

Automated valet parking and charging for e-mobility.

Ulrich Schwesinger, Mathias Bürki, Julian Timpner, Stephan Rottmann, Lars C. Wolf, Lina María Paz, Hugo Grimmett, Ingmar Posner, Paul Newman, Christian Häne, Lionel Heng, Gim Hee Lee, Torsten Sattler, Marc Pollefeys, Marco Allodi, Francesco Valenti, Keiji Mimura, Bernd Goebelsmann, Wojciech Derendarz, Peter Mühlfellner, Stefan Wonneberger, Rene Waldmann, Sebastian Grysczyk, Carsten Last, Stefan Bruning, Sven Horstmann, Marc Bartholomaus, Clemens Brummer, Martin Stellmacher, Fabian Pucks, Marcel Nicklas, Roland Siegwart

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2015

Integrating metric and semantic maps for vision-only automated parking.

Hugo Grimmett, Mathias Bürki, Lina María Paz, Pedro Pinies, Paul Timothy Furgale, Ingmar Posner, Paul Newman

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013

Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project.

Paul Timothy Furgale, Ulrich Schwesinger, Martin Rufli, Wojciech Derendarz, Hugo Grimmett, Peter Mühlfellner, Stefan Wonneberger, Julian Timpner, Stephan Rottmann, Bo Li, Bastian Schmidt, Thien-Nghia Nguyen, Elena Cardarelli, Stefano Cattani, Stefan Bruning, Sven Horstmann, Martin Stellmacher, Holger Mielenz, Kevin Köser, Markus Beermann, Christian Hane, Lionel Heng, Gim Hee Lee, Friedrich Fraundorfer, René Iser, Rudolph Triebel, Ingmar Posner, Paul Newman, Lars C. Wolf, Marc Pollefeys, Stefan Brosig, Jan Effertz, Cédric Pradalier, Roland Siegwart

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Driven Learning for Driving: How Introspection Improves Semantic Mapping.

Rudolph Triebel, Hugo Grimmett, Rohan Paul, Ingmar Posner

Proceedings of the Robotics Research, 2013

Knowing when we don't know: Introspective classification for mission-critical decision making.

Hugo Grimmett, Rohan Paul, Rudolph Triebel, Ingmar Posner

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013