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Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse


Jul 31, 2022
Zhen Meng, Changyang She, Guodong Zhao, Daniele De Martini


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BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR


Jun 30, 2022
Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman

* Accepted for publication at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 

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What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry


Jun 21, 2022
Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman

* Accepted for RA-L 

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Depth-SIMS: Semi-Parametric Image and Depth Synthesis


Mar 07, 2022
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman


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Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry


Mar 01, 2022
Robert Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner

* 7 pages 

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Unsupervised Change Detection of Extreme Events Using ML On-Board


Nov 04, 2021
Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi

* 5 pages (+2 in appendix), 5 figures (+1 in appendix), 2 tables (+3 in appendix), NeurIPS Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop (AI+HADR), 2021 

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Contrastive Learning for Unsupervised Radar Place Recognition


Oct 06, 2021
Matthew Gadd, Daniele De Martini, Paul Newman

* accepted for publication at the IEEE International Conference on Advanced Robotics (ICAR) 2021. arXiv admin note: substantial text overlap with arXiv:2106.06703 

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The Oxford Road Boundaries Dataset


Jun 16, 2021
Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman

* Accepted for publication at the workshop "3D-DLAD: 3D-Deep Learning for Autonomous Driving" (WS15), Intelligent Vehicles Symposium (IV 2021) 

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Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos


Jun 12, 2021
Matthew Gadd, Daniele De Martini, Paul Newman

* to be presented at the Workshop on Radar Perception for All-Weather Autonomy at the IEEE International Conference on Robotics and Automation (ICRA) 2021 

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Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning


Mar 01, 2021
David Williams, Matthew Gadd, Daniele De Martini, Paul Newman

* Accepted for publication at the 2021 IEEE International Conference on Robotics and Automation (ICRA) 

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