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Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars

Dec 23, 2020
Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun

* Published at IROS 2020 

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Learning to Localize Through Compressed Binary Maps

Dec 20, 2020
Xinkai Wei, Ioan Andrei Bârsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun

* Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 10316-10324 
* 18 pages, 12 figures, 6 tables; Presented at CVPR 2019 

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Learning to Localize Using a LiDAR Intensity Map

Dec 20, 2020
Ioan Andrei Bârsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun

* Proceedings of The 2nd Conference on Robot Learning, PMLR 87:605-616, 2018 
* 12 pages, 7 figures, 5 tables; Presented at the 2nd Conference on Robot Learning (CoRL), 2018 

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Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks

Oct 29, 2020
Julieta Martinez, Jashan Shewakramani, Ting Wei Liu, Ioan Andrei Bârsan, Wenyuan Zeng, Raquel Urtasun


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Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization

Aug 08, 2019
Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellert Mattyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, Raquel Urtasun

* 8 pages, 4 figures, 4 tables, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) 

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Robust Dense Mapping for Large-Scale Dynamic Environments

May 07, 2019
Ioan Andrei Bârsan, Peidong Liu, Marc Pollefeys, Andreas Geiger

* Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA), pages 7510--7517, 21-25 May 2018, Brisbane, QLD, Australia 
* Presented at IEEE International Conference on Robotics and Automation (ICRA), 2018 

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