Showing 50 publications by Paul Newman
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
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition
Ramtoula B, De Martini D, Gadd M & Newman P (2024)
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)
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)
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"
}
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
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"
}
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
BibTeX
@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"
}
Innovative method for rapid detection of falsified COVID-19 vaccines through unopened vials using handheld Spatially Offset Raman Spectroscopy (SORS)
Mosca S, Lin Q, Stokes R, Bharucha T, Gangadharan B et al. (2023), Vaccine, 41(47), 6960-6968
BibTeX
@article{innovativemetho-2023/10,
title={Innovative method for rapid detection of falsified COVID-19 vaccines through unopened vials using handheld Spatially Offset Raman Spectroscopy (SORS)},
author={Mosca S, Lin Q, Stokes R, Bharucha T, Gangadharan B et al.},
journal={Vaccine},
volume={41},
pages={6960-6968},
publisher={Elsevier},
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)
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"
}
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control
Robinson L, De Martini D, Gadd M & Newman P (2023)
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations
Ramtoula B, Gadd M, Newman P & De Martini D (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
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes
Marchegiani L & Newman P (2022), IEEE Transactions on Intelligent Transportation Systems, 23(10), 17087-17096
BibTeX
@article{listeningforsir-2022/10,
title={Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes},
author={Marchegiani L & Newman P},
journal={IEEE Transactions on Intelligent Transportation Systems},
volume={23},
pages={17087-17096},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2022"
}
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes
Marchegiani L & Newman P (2022), IEEE Transactions on Intelligent Transportation Systems, 23(10), 17087-17096
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
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"
}
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
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR
Pramatarov G, De Martini D, Gadd M & Newman P (2022)
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry
Aldera R, Gadd M, De Martini D & Newman P (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)
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
The Oxford Road Boundaries Dataset
Suleymanov T, Gadd M, De Martini D & Newman P (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
BibTeX
@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
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
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"
}
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"
}
Learning to Correct Reconstructions from Multiple Views
Săftescu Ș & Newman P (2021), 901-909
BibTeX
@inproceedings{learningtocorre-2021/1,
title={Learning to Correct Reconstructions from Multiple Views},
author={Săftescu Ș & Newman P},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications},
pages={901-909},
year = "2021"
}
Multi-weather city: adverse weather stacking for autonomous driving
Musat V, Fursa I, Newman P, Cuzzolin F & Bradley A (2021), Proceedings of the IEEE International Conference on Computer Vision(2021), 2906-2915
BibTeX
@inproceedings{multiweathercit-2021/1,
title={Multi-weather city: adverse weather stacking for autonomous driving},
author={Musat V, Fursa I, Newman P, Cuzzolin F & Bradley A},
booktitle={2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
pages={2906-2915},
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"
}
Radar as a teacher: weakly supervised vehicle detection using radar labels
Chadwick S & Newman P (2020), Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA), 222-228
Self-supervised localisation between range sensors and overhead imagery
Tang TY, De Martini D, Wu S & Newman P (2020), Proceedings of Robotics: Science and Systems XVI(2020)
Large-scale outdoor scene reconstruction and correction with vision
Tanner M, Pinies P, Paz LM, Saftescu S, Bewley A et al. (2020), International Journal of Robotics Research
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
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