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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, 

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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 

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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 

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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

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

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

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Maximum Entropy Deep Inverse Reinforcement Learning

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

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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:, Code: 

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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

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