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Showing 50 publications by Daniele De Martini

Bayesian Radar Cosplace: Directly estimating location uncertainty in radar place recognition

Agarwal S, Yuan J, Newman P, De Martini D & Gadd M (2025), IET Radar Sonar & Navigation, 19(1)

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@article{bayesianradarco-2025/3,
  title={Bayesian Radar Cosplace: Directly estimating location uncertainty in radar place recognition},
  author={Agarwal S, Yuan J, Newman P, De Martini D & Gadd M},
  journal={IET Radar Sonar & Navigation},
  volume={19},
  publisher={Institution of Engineering and Technology (IET)},
  year = "2025"
}

NeuralFloors++: consistent street-level scene generation from BEV semantic maps

Musat V, De Martini D, Gadd M & Newman P (2024), 12872-12879

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@inproceedings{neuralfloorscon-2024/12,
  title={NeuralFloors++: consistent street-level scene generation from BEV semantic maps},
  author={Musat V, De Martini D, Gadd M & Newman P},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)},
  pages={12872-12879},
  year = "2024"
}

CERES: Critical-Event Reconstruction via Temporal Scene Graph Completion

Panagiotaki E, Pramatarov G, Kunze L & De Martini D (2024)

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@misc{cerescriticalev-2024/10,
  title={CERES: Critical-Event Reconstruction via Temporal Scene Graph Completion},
  author={Panagiotaki E, Pramatarov G, Kunze L & De Martini D},
  year = "2024"
}

NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms

Panagiotaki E, De Martini D, Kunze L & Veličković P (2024)

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@misc{naricpneuralexe-2024/10,
  title={NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms},
  author={Panagiotaki E, De Martini D, Kunze L & Veličković P},
  year = "2024"
}

Robot-relay:building-wide, calibration-less visual servoing with learned sensor handover networks

Robinson L, Gadd M, Newman P & De Martini D (2024), Experimental Robotics: The 18th International Symposium, 129-140

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@inproceedings{robotrelaybuild-2024/8,
  title={Robot-relay:building-wide, calibration-less visual servoing with learned sensor handover networks},
  author={Robinson L, Gadd M, Newman P & De Martini D},
  booktitle={18th International Symposium on Experimental Robotics (ISER 2023)},
  pages={129-140},
  year = "2024"
}

VDNA-PR: using general dataset representations for robust sequential visual place recognition

Ramtoula B, De Martini D, Gadd M & Newman P (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 15883-15889

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@inproceedings{vdnaprusinggene-2024/8,
  title={VDNA-PR: using general dataset representations for robust sequential visual place recognition},
  author={Ramtoula B, De Martini D, Gadd M & Newman P},
  booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
  pages={15883-15889},
  year = "2024"
}

What you see is what you get: experience ranking with deep neural dataset-to-dataset similarity for topological localisation

Gadd M, Ramtoula B, De Martini D & Newman P (2024), Experimental Robotics: The 18th International Symposium, 595-607

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@inproceedings{whatyouseeiswha-2024/8,
  title={What you see is what you get: experience ranking with deep neural dataset-to-dataset similarity for topological localisation},
  author={Gadd M, Ramtoula B, De Martini D & Newman P},
  booktitle={18th International Symposium on Experimental Robotics (ISER 2023)},
  pages={595-607},
  year = "2024"
}

That's my point: compact object-centric LiDAR pose estimation for large-scale outdoor localisation

Pramatarov G, Gadd M, Newman P & De Martini D (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 12276-12282

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@inproceedings{thatsmypointcom-2024/8,
  title={That's my point: compact object-centric LiDAR pose estimation for large-scale outdoor localisation},
  author={Pramatarov G, Gadd M, Newman P & De Martini D},
  booktitle={ 2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
  pages={12276-12282},
  year = "2024"
}

Masked γ-SSL: learning uncertainty estimation via masked image modeling

Williams DSW, Gadd M, Newman P & De Martini D (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 16192-16198

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@inproceedings{maskedssllearni-2024/8,
  title={Masked γ-SSL: learning uncertainty estimation via masked image modeling},
  author={Williams DSW, Gadd M, Newman P & De Martini D},
  booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
  pages={16192-16198},
  year = "2024"
}

RobotCycle: Assessing Cycling Safety in Urban Environments

Panagiotaki E, Reinmund T, Mouton S, Pitt L, Shanthini AS et al. (2024)

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@misc{robotcycleasses-2024/6,
  title={RobotCycle: Assessing Cycling Safety in Urban Environments},
  author={Panagiotaki E, Reinmund T, Mouton S, Pitt L, Shanthini AS et al.},
  year = "2024"
}

Watching grass grow: long-term visual navigation and mission planning for autonomous biodiversity monitoring

Gadd M, De Martini D, Pitt L, Tubby W, Towlson M et al. (2024)

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@misc{watchinggrassgr-2024/5,
  title={Watching grass grow: long-term visual navigation and mission planning for autonomous biodiversity monitoring},
  author={Gadd M, De Martini D, Pitt L, Tubby W, Towlson M et al.},
  year = "2024"
}

TAGIC: Task-Guided Image Communication Framework for Seamless Teleoperation

Diao Y, Zhang Y, Zhao PG & De Martini D (2024), 00, 1-2

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@inproceedings{tagictaskguided-2024/5,
  title={TAGIC: Task-Guided Image Communication Framework for Seamless Teleoperation},
  author={Diao Y, Zhang Y, Zhao PG & De Martini D},
  booktitle={IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)},
  pages={1-2},
  year = "2024"
}

Mitigating distributional shift in semantic segmentation via uncertainty estimation from unlabeled data

Williams DSW, De Martini D, Gadd M & Newman P (2024), IEEE Transactions on Robotics, 40, 3146-3165

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@article{mitigatingdistr-2024/5,
  title={Mitigating distributional shift in semantic segmentation via uncertainty estimation from unlabeled data},
  author={Williams DSW, De Martini D, Gadd M & Newman P},
  journal={IEEE Transactions on Robotics},
  volume={40},
  pages={3146-3165},
  publisher={IEEE},
  year = "2024"
}

Real-time cyber/physical interplay in scheduling for peak load optimization in cyber-physical energy systems

De Martini D, Benetti G & Facchinetti T (2024), Intelligent Systems with Applications, 22

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@article{realtimecyberph-2024/4,
  title={Real-time cyber/physical interplay in scheduling for peak load optimization in cyber-physical energy systems},
  author={De Martini D, Benetti G & Facchinetti T},
  journal={Intelligent Systems with Applications},
  volume={22},
  number={200380},
  publisher={Elsevier},
  year = "2024"
}

OORD: The Oxford Offroad Radar Dataset

Gadd M, De Martini D, Bartlett O, Murcutt P, Towlson M et al. (2024)

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@misc{oordtheoxfordof-2024/3,
  title={OORD: The Oxford Offroad Radar Dataset},
  author={Gadd M, De Martini D, Bartlett O, Murcutt P, Towlson M et al.},
  year = "2024"
}

Doppler-aware odometry from FMCW scanning radar

Rennie F, Williams D, Newman P & De Martini D (2024), 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 5126-5132

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@inproceedings{dopplerawareodo-2024/2,
  title={Doppler-aware odometry from FMCW scanning radar},
  author={Rennie F, Williams D, Newman P & De Martini D},
  booktitle={26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023)},
  pages={5126-5132},
  year = "2024"
}

Semantic interpretation and validation of graph attention-based explanations for GNN models

Panagiotaki E, De Martini D & Kunze L (2024)

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@misc{semanticinterpr-2024/2,
  title={Semantic interpretation and validation of graph attention-based explanations for GNN models},
  author={Panagiotaki E, De Martini D & Kunze L},
  year = "2024"
}

SEM-GAT: explainable semantic pose estimation using learned graph attention

Panagiotaki E, De Martini D, Pramatarov G, Gadd M & Kunze L (2024), 367-374

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@inproceedings{semgatexplainab-2024/2,
  title={SEM-GAT: explainable semantic pose estimation using learned graph attention},
  author={Panagiotaki E, De Martini D, Pramatarov G, Gadd M & Kunze L},
  booktitle={21st International Conference on Advanced Robotics (ICAR 2023)},
  pages={367-374},
  year = "2024"
}

OORD: The Oxford Offroad Radar Dataset

Gadd M, De Martini D, Bartlett O, Murcutt P, Towlson M et al. (2024), IEEE Transactions on Intelligent Transportation Systems, 25(11), 18779-18790

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@article{oordtheoxfordof-2024/1,
  title={OORD: The Oxford Offroad Radar Dataset},
  author={Gadd M, De Martini D, Bartlett O, Murcutt P, Towlson M et al.},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={25},
  pages={18779-18790},
  year = "2024"
}

Visual servoing on wheels: robust robot orientation estimation in remote viewpoint control

Robinson L, De Martini D, Gadd M & Newman P (2023), 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 6364-6370

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@inproceedings{visualservoingo-2023/12,
  title={Visual servoing on wheels: robust robot orientation estimation in remote viewpoint control},
  author={Robinson L, De Martini D, Gadd M & Newman P},
  booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)},
  pages={6364-6370},
  year = "2023"
}

Self-supervised Lidar place recognition in overhead imagery using unpaired data

Tang TY, De Martini D & Newman PM (2023), Proceedings of Robotics: Science and Systems 2023

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@inproceedings{selfsupervisedl-2023/10,
  title={Self-supervised Lidar place recognition in overhead imagery using unpaired data},
  author={Tang TY, De Martini D & Newman PM},
  booktitle={19th Robotics: Science and Systems (RSS 2023)},
  year = "2023"
}

Visual DNA: representing and comparing images using distributions of neuron activations

Ramtoula B, Gadd M, Newman P & De Martini D (2023), 11113-11123

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@inproceedings{visualdnarepres-2023/8,
  title={Visual DNA: representing and comparing images using distributions of neuron activations},
  author={Ramtoula B, Gadd M, Newman P & De Martini D},
  booktitle={IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2023)},
  pages={11113-11123},
  year = "2023"
}

Explainable action prediction through self-supervision on scene graphs

Kochakarn P, De Martini D, Omeiza D & Kunze L (2023), Proceedings of the International Conference on Robotics and Automation (ICRA 2023), 1479-1485

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@inproceedings{explainableacti-2023/7,
  title={Explainable action prediction through self-supervision on scene graphs},
  author={Kochakarn P, De Martini D, Omeiza D & Kunze L},
  booktitle={International Conference on Robotics and Automation (ICRA 2023)},
  pages={1479-1485},
  year = "2023"
}

Roll-Drop: accounting for observation noise with a single parameter

Campanaro L, De Martini D, Gangapurwala S, Merkt W & Havoutis I (2023), Proceedings of The 5th Annual Learning for Dynamics and Control Conference, 718-730

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@inproceedings{rolldropaccount-2023/6,
  title={Roll-Drop: accounting for observation noise with a single parameter},
  author={Campanaro L, De Martini D, Gangapurwala S, Merkt W & Havoutis I},
  booktitle={5th Annual Learning for Dynamics and Control Conference (L4DC 2023)},
  pages={718-730},
  year = "2023"
}

Point-based metric and topological localisation between lidar and overhead imagery

Tang TY, De Martini D & Newman P (2023), Autonomous Robots, 47(5), 595-615

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@article{pointbasedmetri-2023/3,
  title={Point-based metric and topological localisation between lidar and overhead imagery},
  author={Tang TY, De Martini D & Newman P},
  journal={Autonomous Robots},
  volume={47},
  pages={595-615},
  publisher={Springer},
  year = "2023"
}

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

Meng Z, She C, Zhao G & De Martini D (2023), IEEE Journal on Selected Areas in Communications, 41(1), 288-300

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@article{samplingcommuni-2023/1,
  title={Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse},
  author={Meng Z, She C, Zhao G & De Martini D},
  journal={IEEE Journal on Selected Areas in Communications},
  volume={41},
  pages={288-300},
  year = "2023"
}

Visuo-tactile recognition of partial point clouds using PointNet and curriculum learning: enabling tactile perception from visual data

Parsons C, Albini A, Martini D & Maiolino P (2022), IEEE Robotics and Automation Magazine

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@article{visuotactilerec-2022/10,
  title={Visuo-tactile recognition of partial point clouds using PointNet and curriculum learning: enabling tactile perception from visual data},
  author={Parsons C, Albini A, Martini D & Maiolino P},
  journal={IEEE Robotics and Automation Magazine},
  publisher={IEEE},
  year = "2022"
}

RaVÆn: unsupervised change detection of extreme events using ML on-board satellites

Růžička V, Vaughan A, De Martini D, Fulton J, Salvatelli V et al. (2022), Scientific reports, 12

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@article{ravnunsupervise-2022/10,
  title={RaVÆn: unsupervised change detection of extreme events using ML on-board satellites},
  author={Růžička V, Vaughan A, De Martini D, Fulton J, Salvatelli V et al.},
  journal={Scientific reports},
  volume={12},
  number={16939},
  publisher={Springer Nature},
  year = "2022"
}

Fast-MbyM: leveraging translational invariance of the fourier transform for efficient and accurate radar odometry

Weston R, Gadd M, De Martini D, Newman P & Posner H (2022), Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2022), 2186-2192

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@inproceedings{fastmbymleverag-2022/7,
  title={Fast-MbyM: leveraging translational invariance of the fourier transform for efficient and accurate radar odometry},
  author={Weston R, Gadd M, De Martini D, Newman P & Posner H},
  booktitle={IEEE International Conference on Robotics and Automation (ICRA 2022)},
  pages={2186-2192},
  year = "2022"
}

Depth-SIMS: semi-parametric image and depth synthesis

Musat V, De Martini D, Gadd M & Newman P (2022), 2022 International Conference on Robotics and Automation (ICRA), 2388-2394

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@inproceedings{depthsimssemipa-2022/7,
  title={Depth-SIMS: semi-parametric image and depth synthesis},
  author={Musat V, De Martini D, Gadd M & Newman P},
  booktitle={ International Conference on Robotics and Automation (ICRA 2022)},
  pages={2388-2394},
  year = "2022"
}

What goes around: leveraging a constant-curvature motion constraint in radar odometry

Aldera R, Gadd M, De Martini D & Newman P (2022), IEEE Robotics and Automation Letters, 7(3), 7865-7872

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@article{whatgoesaroundl-2022/6,
  title={What goes around: leveraging a constant-curvature motion constraint in radar odometry},
  author={Aldera R, Gadd M, De Martini D & Newman P},
  journal={IEEE Robotics and Automation Letters},
  volume={7},
  pages={7865-7872},
  publisher={IEEE},
  year = "2022"
}

The Oxford Road Boundaries Dataset

Suleymanov T, Gadd M, De Martini D & Newman P (2022)

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@inproceedings{theoxfordroadbo-2022/1,
  title={The Oxford Road Boundaries Dataset},
  author={Suleymanov T, Gadd M, De Martini D & Newman P},
  booktitle={32nd IEEE Intelligent Vehicles Symposium (IV21) -- Workshop on 3D-Deep Learning for Automated Driving (3D-DLAD)},
  year = "2022"
}

Contrastive learning for unsupervised radar place recognition

Gadd M, De Martini D & Newman P (2022), 2021 20th International Conference on Advanced Robotics (ICAR), 344-349

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@inproceedings{contrastivelear-2022/1,
  title={Contrastive learning for unsupervised radar place recognition},
  author={Gadd M, De Martini D & Newman P},
  booktitle={20th International Conference on Advanced Robotics (ICAR 2021)},
  pages={344-349},
  year = "2022"
}

Unsupervised change detection of extreme events using ML on-board

Ruzicka V, Vaughan A, De Martini D, Fulton J, Salvatelli V et al. (2021)

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@inproceedings{unsupervisedcha-2021/12,
  title={Unsupervised change detection of extreme events using ML on-board},
  author={Ruzicka V, Vaughan A, De Martini D, Fulton J, Salvatelli V et al.},
  booktitle={NeurIPS Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop (AI+HADR), 2021},
  year = "2021"
}

BoxGraph: semantic place recognition and pose estimation from 3D LiDAR

Pramatarov G, De Martini D, Gadd M & Newman P (2021), 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 7004-7011

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@inproceedings{boxgraphsemanti-2021/12,
  title={BoxGraph: semantic place recognition and pose estimation from 3D LiDAR},
  author={Pramatarov G, De Martini D, Gadd M & Newman P},
  booktitle={2022 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  pages={7004-7011},
  year = "2021"
}

Fool me once: robust selective segmentation via out-of-distribution detection with contrastive learning

Williams D, Gadd M, De Martini D & Newman P (2021), 2021 IEEE International Conference on Robotics and Automation (ICRA), 9536-9542

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@inproceedings{foolmeoncerobus-2021/10,
  title={Fool me once: robust selective segmentation via out-of-distribution detection with contrastive learning},
  author={Williams D, Gadd M, De Martini D & Newman P},
  booktitle={ICRA 2021},
  pages={9536-9542},
  year = "2021"
}

CPG-ACTOR: reinforcement learning for central pattern generators

Campanaro L, Gangapurwala S, De Martini D, Merkt W & Havoutis I (2021), Towards Autonomous Robotic Systems, 25-35

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@inproceedings{cpgactorreinfor-2021/10,
  title={CPG-ACTOR: reinforcement learning for central pattern generators},
  author={Campanaro L, Gangapurwala S, De Martini D, Merkt W & Havoutis I},
  booktitle={Towards Autonomous Robotic Systems Conference (TAROS 2021)},
  pages={25-35},
  year = "2021"
}

Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization

Tang TY, De Martini D, Wu S & Newman P (2021), The International Journal of Robotics Research, 40(12-14), 1488-1509

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@article{selfsupervisedl-2021/9,
  title={Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization},
  author={Tang TY, De Martini D, Wu S & Newman P},
  journal={The International Journal of Robotics Research},
  volume={40},
  pages={1488-1509},
  publisher={SAGE Publications},
  year = "2021"
}

Get to the point: learning lidar place recognition and metric localisation using overhead imagery

Tang TY, De Martini D & Newman P (2021), Proceedings of Robotics: Science and Systems, 2021

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@article{gettothepointle-2021/7,
  title={Get to the point: learning lidar place recognition and metric localisation using overhead imagery},
  author={Tang TY, De Martini D & Newman P},
  journal={Proceedings of Robotics: Science and Systems, 2021},
  publisher={Robotics: Science and Systems},
  year = "2021"
}

Unsupervised place recognition with deep embedding learning over radar videos

Gadd M, De Martini D & Newman P (2021)

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@inproceedings{unsupervisedpla-2021/5,
  title={Unsupervised place recognition with deep embedding learning over radar videos},
  author={Gadd M, De Martini D & Newman P},
  booktitle={2021 ICRA Workshop: Radar Perception for All-Weather Autonomy},
  year = "2021"
}

RainBench: Towards global precipitation forecasting from satellite imagery

de Witt CS, Tong C, Zantedeschi V, De Martini D, Kalaitzis A et al. (2021), Thirty-fifth AAAI Conference on Artificial Intelligence, 35(17), 14902-14910

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@inproceedings{rainbenchtoward-2021/5,
  title={RainBench: Towards global precipitation forecasting from satellite imagery},
  author={de Witt CS, Tong C, Zantedeschi V, De Martini D, Kalaitzis A et al.},
  booktitle={35th AAAI Conference on Artificial Intelligence (AAAI 2021)},
  pages={14902-14910},
  year = "2021"
}

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

Williams D, Gadd M, De Martini D & Newman P (2021)

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@misc{foolmeoncerobus-2021/3,
  title={Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning},
  author={Williams D, Gadd M, De Martini D & Newman P},
  year = "2021"
}

The hulk: design and development of a weather-proof vehicle for long-term autonomy in outdoor environments

Kyberd S, Attias J, Get P, Murcutt P, Prahacs C et al. (2021), International Conference on Field and Service Robotics (FSR), 16(2021), 101-114

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@inproceedings{thehulkdesignan-2021/1,
  title={The hulk: design and development of a weather-proof vehicle for long-term autonomy in outdoor environments},
  author={Kyberd S, Attias J, Get P, Murcutt P, Prahacs C et al.},
  pages={101-114},
  year = "2021"
}

RSS-Net: weakly-supervised multi-class semantic segmentation with FMCW radar

Kaul P, De Martini D, Gadd M & Newman P (2021), Proceedings of the 2020 IEEE Intelligent Vehicles Symposium (IV2020)(2020), 431-436

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@inproceedings{rssnetweaklysup-2021/1,
  title={RSS-Net: weakly-supervised multi-class semantic segmentation with FMCW radar},
  author={Kaul P, De Martini D, Gadd M & Newman P},
  booktitle={IEEE Intelligent Vehicles Symposium (IV)},
  pages={431-436},
  year = "2021"
}

Sense-Assess-eXplain (SAX): building trust in autonomous vehicles in challenging real-world driving scenarios

Gadd M, De Martini D, Marchegiani M, Newman P & Kunze L (2021), Proceedings of the 2020 IEEE Intelligent Vehicles Symposium (IV), 150-155

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@inproceedings{senseassessexpl-2021/1,
  title={Sense-Assess-eXplain (SAX): building trust in autonomous vehicles in challenging real-world driving scenarios},
  author={Gadd M, De Martini D, Marchegiani M, Newman P & Kunze L},
  booktitle={IEEE Intelligent Vehicles Symposium (IV), Workshop on Ensuring and Validating Safety for Automated Vehicles (EVSAV)},
  pages={150-155},
  year = "2021"
}

Get to the Point: Learning Lidar Place Recognition and Metric Localisation Using Overhead Imagery

Tang TY, De Martini D & Newman P (2021), ROBOTICS: SCIENCE AND SYSTEM XVII

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@inproceedings{gettothepointle-2021/1,
  title={Get to the Point: Learning Lidar Place Recognition and Metric Localisation Using Overhead Imagery},
  author={Tang TY, De Martini D & Newman P},
  year = "2021"
}

Keep off the grass: permissible driving routes from radar with weak audio supervision

Williams D, De Martini D, Gadd M, Marchegiani M & Newman P (2020), Proceedings of the 2020 IEEE Intelligent Transportation Systems Conference (ITSC), 1-6

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@inproceedings{keepoffthegrass-2020/12,
  title={Keep off the grass: permissible driving routes from radar with weak audio supervision},
  author={Williams D, De Martini D, Gadd M, Marchegiani M & Newman P},
  booktitle={IEEE Intelligent Transportation Systems Conference (ITSC)},
  pages={1-6},
  year = "2020"
}

On the road: route proposal from radar self-supervised by fuzzy LiDAR traversability

Broome M, Gadd M, De Martini D & Newman P (2020), AI, 1(4), 558-585

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@article{ontheroadroutep-2020/12,
  title={On the road: route proposal from radar self-supervised by fuzzy LiDAR traversability},
  author={Broome M, Gadd M, De Martini D & Newman P},
  journal={AI},
  volume={1},
  pages={558-585},
  publisher={MDPI},
  year = "2020"
}

kRadar++: coarse-to-fine FMCW scanning radar localisation

De Martini D, Gadd M & Newman P (2020), Sensors, 20(21)

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@article{kradarcoarsetof-2020/10,
  title={kRadar++: coarse-to-fine FMCW scanning radar localisation},
  author={De Martini D, Gadd M & Newman P},
  journal={Sensors},
  volume={20},
  number={6002},
  publisher={MDPI},
  year = "2020"
}

Kidnapped radar: topological radar localisation using rotationally-invariant metric learning

GADD M, Schrodl , DE MARTINI D, Barnes D & NEWMAN P (2020), Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA)(2020), 4358-4364

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@inproceedings{kidnappedradart-2020/9,
  title={Kidnapped radar: topological radar localisation using rotationally-invariant metric learning},
  author={GADD M, Schrodl , DE MARTINI D, Barnes D & NEWMAN P},
  booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
  pages={4358-4364},
  year = "2020"
}