Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Peter Ondruska

DriverGym: Democratising Reinforcement Learning for Autonomous Driving


Nov 12, 2021
Parth Kothari, Christian Perone, Luca Bergamini, Alexandre Alahi, Peter Ondruska

* Accepted to NeurIPS 2021 ML4AD Workshop 

  Access Paper or Ask Questions

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


Sep 28, 2021
Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wołczyk, Błażej Osiński, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska


  Access Paper or Ask Questions

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients


Sep 27, 2021
Oliver Scheel, Luca Bergamini, Maciej Wołczyk, Błażej Osiński, Peter Ondruska

* CoRL 2021 

  Access Paper or Ask Questions

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


Aug 09, 2021
Ashesh Jain, Luca Del Pero, Hugo Grimmett, Peter Ondruska


  Access Paper or Ask Questions

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


May 26, 2021
Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca del Pero, Peter Ondruska

* Published at 2021 International Conference on Robotics and Automation (ICRA2021) 

  Access Paper or Ask Questions

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


May 26, 2021
Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska

* Published at 2021 International Conference on Robotics and Automation (ICRA2021) 

  Access Paper or Ask Questions

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


Nov 10, 2020
Lukas Platinsky, Michal Szabados, Filip Hlasek, Ross Hemsley, Luca Del Pero, Andrej Pancik, Bryan Baum, Hugo Grimmett, Peter Ondruska

* Published at ISMAR 2020, http://www.bluevisionlabs.org 

  Access Paper or Ask Questions

One Thousand and One Hours: Self-driving Motion Prediction Dataset


Jun 25, 2020
John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska

* The full dataset is available at http://level5.lyft.com/ 

  Access Paper or Ask Questions

VALUE: Large Scale Voting-based Automatic Labelling for Urban Environments


Jun 05, 2020
Giacomo Dabisias, Emanuele Ruffaldi, Hugo Grimmett, Peter Ondruska

* Presented at ICRA-2018 conference, 20-25th May 2018, Brisbane, Australia 

  Access Paper or Ask Questions

Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks


Apr 19, 2017
Julie Dequaire, Dushyant Rao, Peter Ondruska, Dominic Wang, Ingmar Posner


  Access Paper or Ask Questions

End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks


Apr 19, 2016
Peter Ondruska, Julie Dequaire, Dominic Zeng Wang, Ingmar Posner


  Access Paper or Ask Questions

Maximum Entropy Deep Inverse Reinforcement Learning


Mar 11, 2016
Markus Wulfmeier, Peter Ondruska, Ingmar Posner


  Access Paper or Ask Questions

Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks


Mar 08, 2016
Peter Ondruska, Ingmar Posner

* Published in The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Video: https://youtu.be/cdeWCpfUGWc, Code: http://mrg.robots.ox.ac.uk/mrg_people/peter-ondruska/ 

  Access Paper or Ask Questions

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing


Mar 05, 2016
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher


  Access Paper or Ask Questions