The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range. - Peter Ondruska; Ingmar Posner (ICAPS, 2014)

Probabilistic attainability maps: Efficiently predicting driver-specific electric vehicle range. - Peter Ondruska; Ingmar Posner (Intelligent Vehicles Symposium, 2014)

Scheduled perception for energy-efficient path following. - Peter Ondruska; Corina Gurau; Letizia Marchegiani; Chi Hay Tong; Ingmar Posner (ICRA, 2015)

Deep Inverse Reinforcement Learning. - Markus Wulfmeier; Peter Ondruska; Ingmar Posner (CoRR, 2015)

MobileFusion: Real-Time Volumetric Surface Reconstruction and Dense Tracking on Mobile Phones. - Peter Ondruska; Pushmeet Kohli; Shahram Izadi (IEEE Trans. Vis. Comput. Graph., 2015)

Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks. - Peter Ondruska; Ingmar Posner (AAAI, 2016)

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. - Ankit Kumar; Ozan Irsoy; Peter Ondruska; Mohit Iyyer; James Bradbury 002; Ishaan Gulrajani; Victor Zhong; Romain Paulus; Richard Socher (ICML, 2016)

Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks. - Julie Dequaire; Dushyant Rao; Peter Ondruska; Dominic Zeng Wang; Ingmar Posner (CoRR, 2016)

End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks. - Peter Ondruska; Julie Dequaire; Dominic Zeng Wang; Ingmar Posner (CoRR, 2016)

Large-scale cost function learning for path planning using deep inverse reinforcement learning. - Markus Wulfmeier; Dushyant Rao; Dominic Zeng Wang; Peter Ondruska; Ingmar Posner (Int. J. Robotics Res., 2017)

VALUE: Large Scale Voting-Based Automatic Labelling for Urban Environments. - Giacomo Dabisias; Emanuele Ruffaldi; Hugo Grimmett; Peter Ondruska (ICRA, 2018)

Visual Vehicle Tracking Through Noise and Occlusions Using Crowd-Sourced Maps. - M. S. Suraj; Hugo Grimmett; Lukas Platinsky; Peter Ondruska (IROS, 2018)

Predicting trajectories of vehicles using large-scale motion priors. - M. S. Suraj; Hugo Grimmett; Lukas Platinsky; Peter Ondruska (Intelligent Vehicles Symposium, 2018)

Deep tracking in the wild: End-to-end tracking using recurrent neural networks. - Julie Dequaire; Peter Ondruska; Dushyant Rao; Dominic Zeng Wang; Ingmar Posner (Int. J. Robotics Res., 2018)

One Thousand and One Hours: Self-driving Motion Prediction Dataset. - John Houston; Guido Zuidhof; Luca Bergamini; Yawei Ye; Long Chen; Ashesh Jain; Sammy Omari; Vladimir Iglovikov; Peter Ondruska (CoRL, 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 (ISMAR, 2020)

One Thousand and One Hours: Self-driving Motion Prediction Dataset. - John Houston; Guido Zuidhof; Luca Bergamini; Yawei Ye; Ashesh Jain; Sammy Omari; Vladimir Iglovikov; Peter Ondruska (CoRR, 2020)

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. - Oliver Scheel; Luca Bergamini; Maciej Wolczyk; Blazej Osinski; Peter Ondruska (CoRL, 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 (ICRA, 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 (ICRA, 2021)

Autonomy 2.0: Why is self-driving always 5 years away? - Ashesh Jain; Luca Del Pero; Hugo Grimmett; Peter Ondruska (CoRR, 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)

DriverGym: Democratising Reinforcement Learning for Autonomous Driving. - Parth Kothari; Christian Perone; Luca Bergamini; Alexandre Alahi; Peter Ondruska (CoRR, 2021)

SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. - Matt Vitelli; Yan Chang; Yawei Ye; Ana Ferreira 011; Maciej Wolczyk; Blazej Osinski; Moritz Niendorf; Hugo Grimmett; Qiangui Huang; Ashesh Jain; Peter Ondruska (ICRA, 2022)