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Showing 50 publications by Matthew Gadd

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

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

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

VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition

Ramtoula B, De Martini D, Gadd M & Newman P (2024)

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BibTeX
@misc{vdnaprusinggene-2024/3,
  title={VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition},
  author={Ramtoula B, De Martini D, Gadd M & Newman P},
  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)

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BibTeX
@misc{thatsmypointcom-2024/3,
  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},
  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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BibTeX
@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"
}

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"
}

NeuralFloors: conditional street-level scene generation from BEV semantic maps via neural fields

Muat V, De Martini D, Gadd M & Newman P (2024), IEEE Robotics and Automation Letters, 9(3), 2431-2438

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@article{neuralfloorscon-2024/1,
  title={NeuralFloors: conditional street-level scene generation from BEV semantic maps via neural fields},
  author={Muat V, De Martini D, Gadd M & Newman P},
  journal={IEEE Robotics and Automation Letters},
  volume={9},
  pages={2431-2438},
  publisher={IEEE},
  year = "2024"
}

Off the radar: uncertainty-aware radar place recognition with introspective querying and map maintenance

Yuan J, Newman P & Gadd M (2023), 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1350-1357

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@inproceedings{offtheradarunce-2023/12,
  title={Off the radar: uncertainty-aware radar place recognition with introspective querying and map maintenance},
  author={Yuan J, Newman P & Gadd M},
  booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)},
  pages={1350-1357},
  year = "2023"
}

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"
}

LROC-PANGU-GAN: closing the simulation gap in learning crater segmentation with planetary simulators

La J, Phadke J, Hutton M, Schwinning M, De Canio G et al. (2023), Proceedings of ASTRA 2023

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@inproceedings{lrocpanguganclo-2023/10,
  title={LROC-PANGU-GAN: closing the simulation gap in learning crater segmentation with planetary simulators},
  author={La J, Phadke J, Hutton M, Schwinning M, De Canio G et al.},
  booktitle={17th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA 2023)},
  year = "2023"
}

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 (2023)

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@misc{whatyouseeiswha-2023/10,
  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},
  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"
}

SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention

Panagiotaki E, De Martini D, Pramatarov G, Gadd M & Kunze L (2023)

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@misc{semgatexplainab-2023/8,
  title={SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention},
  author={Panagiotaki E, De Martini D, Pramatarov G, Gadd M & Kunze L},
  year = "2023"
}

Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control

Robinson L, De Martini D, Gadd M & Newman P (2023)

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@misc{visualservoingo-2023/6,
  title={Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control},
  author={Robinson L, De Martini D, Gadd M & Newman P},
  year = "2023"
}

Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations

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

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@misc{visualdnarepres-2023/4,
  title={Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations},
  author={Ramtoula B, Gadd M, Newman P & De Martini D},
  year = "2023"
}

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"
}

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

Pramatarov G, De Martini D, Gadd M & Newman P (2022)

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@misc{boxgraphsemanti-2022/6,
  title={BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR},
  author={Pramatarov G, De Martini D, Gadd M & Newman P},
  year = "2022"
}

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

Aldera R, Gadd M, De Martini D & Newman P (2022)

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@misc{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},
  year = "2022"
}

Depth-SIMS: Semi-Parametric Image and Depth Synthesis

Musat V, De Martini D, Gadd M & Newman P (2022)

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@misc{depthsimssemipa-2022/3,
  title={Depth-SIMS: Semi-Parametric Image and Depth Synthesis},
  author={Musat V, De Martini D, Gadd M & Newman P},
  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 I (2022)

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@misc{fastmbymleverag-2022/3,
  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 I},
  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"
}

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"
}

Look Here: Learning Geometrically Consistent Refinement of Inverse-Depth Images for 3D Reconstruction

Săftescu Ş, Gadd M & Newman P (2021), International Journal of Pattern Recognition and Artificial Intelligence, 35(16), 2160015

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@article{lookherelearnin-2021/12,
  title={Look Here: Learning Geometrically Consistent Refinement of Inverse-Depth Images for 3D Reconstruction},
  author={Săftescu Ş, Gadd M & Newman P},
  journal={International Journal of Pattern Recognition and Artificial Intelligence},
  volume={35},
  pages={2160015},
  publisher={World Scientific Publishing},
  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"
}

Contrastive Learning for Unsupervised Radar Place Recognition

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

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@misc{contrastivelear-2021/10,
  title={Contrastive Learning for Unsupervised Radar Place Recognition},
  author={Gadd M, De Martini D & Newman P},
  year = "2021"
}

The Oxford Road Boundaries Dataset

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

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@misc{theoxfordroadbo-2021/6,
  title={The Oxford Road Boundaries Dataset},
  author={Suleymanov T, Gadd M, De Martini D & Newman P},
  year = "2021"
}

Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos

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

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@misc{unsupervisedpla-2021/6,
  title={Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos},
  author={Gadd M, De Martini D & Newman P},
  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"
}

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"
}

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"
}

Look around you: sequence-based radar place recognition with learned rotational invariance

Gadd M, De Martini D & Newman P (2020), Position Location and Navigation (PLANS), IEEE Symposium

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@inproceedings{lookaroundyouse-2020/6,
  title={Look around you: sequence-based radar place recognition with learned rotational invariance},
  author={Gadd M, De Martini D & Newman P},
  booktitle={IEEE/ION Position, Location and Navigation Symposium (PLANS) 2020},
  year = "2020"
}

LiDAR lateral localisation despite challenging occlusion from traffic

Suleymanov T, Gadd M, Kunze L & Newman P (2020), Proceedings of the IEEE/ION Position, Location and Navigation Symposium (PLANS)(2020), 334-341

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@inproceedings{lidarlateralloc-2020/6,
  title={LiDAR lateral localisation despite challenging occlusion from traffic},
  author={Suleymanov T, Gadd M, Kunze L & Newman P},
  booktitle={2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)},
  pages={334-341},
  year = "2020"
}

Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision

Williams D, De Martini D, Gadd M, Marchegiani L & Newman P (2020)

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@misc{keepoffthegrass-2020/5,
  title={Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision},
  author={Williams D, De Martini D, Gadd M, Marchegiani L & Newman P},
  year = "2020"
}

Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios

Gadd M, De Martini D, Marchegiani L, Newman P & Kunze L (2020)

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@misc{senseassessexpl-2020/5,
  title={Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios},
  author={Gadd M, De Martini D, Marchegiani L, Newman P & Kunze L},
  year = "2020"
}

RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar

Kaul P, De Martini D, Gadd M & Newman P (2020)

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@misc{rssnetweaklysup-2020/4,
  title={RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar},
  author={Kaul P, De Martini D, Gadd M & Newman P},
  year = "2020"
}

Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance

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

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@misc{lookaroundyouse-2020/3,
  title={Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance},
  author={Gadd M, De Martini D & Newman P},
  year = "2020"
}

LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic

Suleymanov T, Gadd M, Kunze L & Newman P (2020)

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@misc{lidarlateralloc-2020/3,
  title={LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic},
  author={Suleymanov T, Gadd M, Kunze L & Newman P},
  year = "2020"
}

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

Maddern W, Pascoe G, GADD M, Barnes D, Yeomans B et al. (2020)

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@misc{realtimekinemat-2020/2,
  title={Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset},
  author={Maddern W, Pascoe G, GADD M, Barnes D, Yeomans B et al.},
  year = "2020"
}

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset

Maddern W, Pascoe G, Gadd M, Barnes D, Yeomans B et al. (2020)

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@misc{realtimekinemat-2020/2,
  title={Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset},
  author={Maddern W, Pascoe G, Gadd M, Barnes D, Yeomans B et al.},
  year = "2020"
}

Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning

Săftescu Ş, Gadd M, De Martini D, Barnes D & Newman P (2020)

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@misc{kidnappedradart-2020/1,
  title={Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning},
  author={Săftescu Ş, Gadd M, De Martini D, Barnes D & Newman P},
  year = "2020"
}

What could go wrong? Introspective radar odometry in challenging environments

Aldera R, De Martini D, Gadd M & Newman P (2019), 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2835-2842

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@inproceedings{whatcouldgowron-2019/11,
  title={What could go wrong? Introspective radar odometry in challenging environments},
  author={Aldera R, De Martini D, Gadd M & Newman P},
  pages={2835-2842},
  year = "2019"
}

The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset

Posner H, Newman P, Barnes D, Gadd M & Murcutt P (2019), arXiv Preprint arXiv: 1909.01300,2019

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@inproceedings{theoxfordradarr-2019/9,
  title={The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset},
  author={Posner H, Newman P, Barnes D, Gadd M & Murcutt P},
  year = "2019"
}