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)
BibTeX
@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
BibTeX
@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)
BibTeX
@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)
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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)
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)
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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"
}
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
Semantic interpretation and validation of graph attention-based explanations for GNN models
Panagiotaki E, De Martini D & Kunze L (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
BibTeX
@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
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
BibTeX
@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
Visual DNA: representing and comparing images using distributions of neuron activations
Ramtoula B, Gadd M, Newman P & De Martini D (2023), 11113-11123
BibTeX
@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
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
BibTeX
@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
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
BibTeX
@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
BibTeX
@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
BibTeX
@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
BibTeX
@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
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
The Oxford Road Boundaries Dataset
Suleymanov T, Gadd M, De Martini D & Newman P (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
Unsupervised change detection of extreme events using ML on-board
Ruzicka V, Vaughan A, De Martini D, Fulton J, Salvatelli V et al. (2021)
BibTeX
@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
BibTeX
@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
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
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
BibTeX
@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
BibTeX
@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)
BibTeX
@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
BibTeX
@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)
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
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
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
BibTeX
@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
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
BibTeX
@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
kRadar++: coarse-to-fine FMCW scanning radar localisation
De Martini D, Gadd M & Newman P (2020), Sensors, 20(21)
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
BibTeX
@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"
}