Peter Ondruska

31 papers A* 9A 1B 2Misc 2Journal 17

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. ICRA Matt Vitelli, Yan Chang, Yawei Ye, Ana Ferreira, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska
2021	J	`jnl`	Autonomy 2.0: Why is self-driving always 5 years away? CoRR Ashesh Jain, Luca Del Pero, Hugo Grimmett, Peter Ondruska
2021	J	`jnl`	DriverGym: Democratising Reinforcement Learning for Autonomous Driving. CoRR Parth Kothari, Christian Perone, Luca Bergamini, Alexandre Alahi, Peter Ondruska
2021	J	`jnl`	SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies. CoRR Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska
2021	A*	`conf`	SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. ICRA Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska
2021	J	`jnl`	SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. CoRR Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska
2021	Misc	`conf`	Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. CoRL Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska
2021	J	`jnl`	Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. CoRR Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska
2021	A*	`conf`	What data do we need for training an AV motion planner? ICRA Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondruska
2021	J	`jnl`	What data do we need for training an AV motion planner? CoRR Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondruska
2020	A*	`conf`	Collaborative Augmented Reality on Smartphones via Life-long City-scale Maps. ISMAR Lukas Platinsky, Michal Szabados, Filip Hlasek, Ross Hemsley, Luca Del Pero, Andrej Pancik, Bryan Baum, Hugo Grimmett, Peter Ondruska
2020	J	`jnl`	Collaborative Augmented Reality on Smartphones via Life-long City-scale Maps. CoRR Lukas Platinsky, Michal Szabados, Filip Hlasek, Ross Hemsley, Luca Del Pero, Andrej Pancik, Bryan Baum, Hugo Grimmett, Peter Ondruska
2020	Misc	`conf`	One Thousand and One Hours: Self-driving Motion Prediction Dataset. CoRL John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Long Chen, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska
2020	J	`jnl`	One Thousand and One Hours: Self-driving Motion Prediction Dataset. CoRR John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska
2020	J	`jnl`	VALUE: Large Scale Voting-based Automatic Labelling for Urban Environments. CoRR Giacomo Dabisias, Emanuele Ruffaldi, Hugo Grimmett, Peter Ondruska
2018	J	`jnl`	Deep tracking in the wild: End-to-end tracking using recurrent neural networks. Int. J. Robotics Res. Julie Dequaire, Peter Ondruska, Dushyant Rao, Dominic Zeng Wang, Ingmar Posner
2018	B	`conf`	Predicting trajectories of vehicles using large-scale motion priors. Intelligent Vehicles Symposium M. S. Suraj, Hugo Grimmett, Lukas Platinsky, Peter Ondruska
2018	A*	`conf`	VALUE: Large Scale Voting-Based Automatic Labelling for Urban Environments. ICRA Giacomo Dabisias, Emanuele Ruffaldi, Hugo Grimmett, Peter Ondruska
2018	A	`conf`	Visual Vehicle Tracking Through Noise and Occlusions Using Crowd-Sourced Maps. IROS M. S. Suraj, Hugo Grimmett, Lukas Platinsky, Peter Ondruska
2017	J	`jnl`	Large-scale cost function learning for path planning using deep inverse reinforcement learning. Int. J. Robotics Res. Markus Wulfmeier, Dushyant Rao, Dominic Zeng Wang, Peter Ondruska, Ingmar Posner
2016	A*	`conf`	Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. ICML Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher
2016	J	`jnl`	Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks. CoRR Julie Dequaire, Dushyant Rao, Peter Ondruska, Dominic Zeng Wang, Ingmar Posner
2016	A*	`conf`	Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks. AAAI Peter Ondruska, Ingmar Posner
2016	J	`jnl`	Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks. CoRR Peter Ondruska, Ingmar Posner
2016	J	`jnl`	End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks. CoRR Peter Ondruska, Julie Dequaire, Dominic Zeng Wang, Ingmar Posner
2015	J	`jnl`	Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. CoRR Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher
2015	J	`jnl`	Deep Inverse Reinforcement Learning. CoRR Markus Wulfmeier, Peter Ondruska, Ingmar Posner
2015	J	`jnl`	MobileFusion: Real-Time Volumetric Surface Reconstruction and Dense Tracking on Mobile Phones. IEEE Trans. Vis. Comput. Graph. Peter Ondruska, Pushmeet Kohli, Shahram Izadi
2015	A*	`conf`	Scheduled perception for energy-efficient path following. ICRA Peter Ondruska, Corina Gurau, Letizia Marchegiani, Chi Hay Tong, Ingmar Posner
2014	B	`conf`	Probabilistic attainability maps: Efficiently predicting driver-specific electric vehicle range. Intelligent Vehicles Symposium Peter Ondruska, Ingmar Posner
2014	A*	`conf`	The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range. ICAPS Peter Ondruska, Ingmar Posner