Showing 50 publications by Paul Newman
Point-based metric and topological localisation between lidar and overhead imagery
Tang TY, De Martini D & Newman P (2023), AUTONOMOUS ROBOTS
BibTeX
@article{pointbasedmetri-2023/1,
title={Point-based metric and topological localisation between lidar and overhead imagery},
author={Tang TY, De Martini D & Newman P},
journal={AUTONOMOUS ROBOTS},
year = "2023"
}
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},
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
BibTeX
@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
BibTeX
@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"
}
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
BibTeX
@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)
BibTeX
@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"
}
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-2021/12,
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},
year = "2021"
}
BoxGraph: semantic place recognition and pose estimation from 3D LiDAR
Pramatarov G, De Martini D, Gadd M & Newman P (2021), Proceedings of IEEE International Conference on Intelligent Robots and Systems, 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
BibTeX
@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"
}
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
BibTeX
@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
BibTeX
@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
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
Saftescu S & Newman P (2021), VISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 5, 901-909
BibTeX
@inproceedings{learningtocorre-2021/1,
title={Learning to correct reconstructions from multiple views},
author={Saftescu S & Newman P},
pages={901-909},
year = "2021"
}
Look Here: Learning Geometrically Consistent Refinement of Inverse-Depth Images for 3D Reconstruction
Sǎftescu A, Gadd M & Newman P (2021), International Journal of Pattern Recognition and Artificial Intelligence
BibTeX
@article{lookherelearnin-2021/1,
title={Look Here: Learning Geometrically Consistent Refinement of Inverse-Depth Images for 3D Reconstruction},
author={Sǎftescu A, Gadd M & Newman P},
journal={International Journal of Pattern Recognition and Artificial Intelligence},
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-October, 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},
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
BibTeX
@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
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
BibTeX
@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)
BibTeX
@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
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
BibTeX
@inproceedings{radarasateacher-2020/9,
title={Radar as a teacher: weakly supervised vehicle detection using radar labels},
author={Chadwick S & Newman P},
booktitle={International Conference on Robotics and Automation 2020},
pages={222-228},
year = "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
BibTeX
@article{largescaleoutdo-2020/7,
title={Large-scale outdoor scene reconstruction and correction with vision},
author={Tanner M, Pinies P, Paz LM, Saftescu S, Bewley A et al.},
journal={International Journal of Robotics Research},
publisher={SAGE Publications},
year = "2020"
}
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)
BibTeX
@inproceedings{selfsupervisedl-2020/7,
title={Self-supervised localisation between range sensors and overhead imagery},
author={Tang TY, De Martini D, Wu S & Newman P},
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
BibTeX
@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
BibTeX
@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"
}
RSL-Net: localising in satellite images from a radar on the ground
Tang TY, De Martini D, Barnes D & Newman P (2020), IEEE Robotics and Automation Letters, 5(2), 1087-1094
BibTeX
@article{rslnetlocalisin-2020/4,
title={RSL-Net: localising in satellite images from a radar on the ground},
author={Tang TY, De Martini D, Barnes D & Newman P},
journal={IEEE Robotics and Automation Letters},
volume={5},
pages={1087-1094},
publisher={IEEE},
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)
BibTeX
@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"
}
Learning geometrically consistent mesh corrections
Sǎftescu S & Newman P (2020), VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 4, 664-675
BibTeX
@inproceedings{learninggeometr-2020/1,
title={Learning geometrically consistent mesh corrections},
author={Sǎftescu S & Newman P},
pages={664-675},
year = "2020"
}
Generating all the roads to Rome: Road layout randomization for improved road marking segmentation
Bruls T, Porav H, Kunze L & Newman P (2019), 831-838
BibTeX
@inproceedings{generatingallth-2019/11,
title={Generating all the roads to Rome: Road layout randomization for improved road marking segmentation},
author={Bruls T, Porav H, Kunze L & Newman P},
booktitle={IEEE Intelligent Transportation Systems Conference 2019 (ITSC 2019)},
pages={831-838},
year = "2019"
}
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
BibTeX
@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"
}
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation
Porav H, Bruls T & Newman P (2019), 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, 33-40
BibTeX
@inproceedings{dontworryaboutt-2019/10,
title={Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation},
author={Porav H, Bruls T & Newman P},
pages={33-40},
year = "2019"
}
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
Posner H, Newman P, Murcutt P, Barnes D & Gadd M (2019), arXiv Preprint arXiv: 1909.01300,2019
BibTeX
@inproceedings{theoxfordradarr-2019/9,
title={The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset},
author={Posner H, Newman P, Murcutt P, Barnes D & Gadd M},
year = "2019"
}
Radar-only ego-motion estimation in difficult settings via graph matching
Cen S & Newman P (2019), IEEE International Conference on Robotics and Automation, 2019.
BibTeX
@inproceedings{radaronlyegomot-2019/8,
title={Radar-only ego-motion estimation in difficult settings via graph matching},
author={Cen S & Newman P},
year = "2019"
}
Fast radar motion estimation with a learnt focus of attention using weak supervision
Aldera R, De Martini D, Gadd M & Newman P (2019), 2019 International Conference on Robotics and Automation (ICRA), 1190-1196
BibTeX
@inproceedings{fastradarmotion-2019/8,
title={Fast radar motion estimation with a learnt focus of attention using weak supervision},
author={Aldera R, De Martini D, Gadd M & Newman P},
pages={1190-1196},
year = "2019"
}
I can see clearly now: image restoration via de-raining
Porav H, Bruls T & Newman P (2019), 2019 IEEE International Conference on Robotics and Automation (ICRA), 7087-7093
BibTeX
@inproceedings{icanseeclearlyn-2019/8,
title={I can see clearly now: image restoration via de-raining},
author={Porav H, Bruls T & Newman P},
pages={7087-7093},
year = "2019"
}
Distant vehicle detection using radar and vision
Chadwick S, Maddern W & Newman P (2019), 2019 IEEE International Conference on Robotics and Automation (ICRA), 8311-8317
BibTeX
@inproceedings{distantvehicled-2019/8,
title={Distant vehicle detection using radar and vision},
author={Chadwick S, Maddern W & Newman P},
pages={8311-8317},
year = "2019"
}
The right (angled) perspective: improving the understanding of road scenes using boosted inverse perspective mapping
Bruls T, Porav H, Kunze L & Newman P (2019), 2019 IEEE Intelligent Vehicles Symposium (IV), 302-309
BibTeX
@inproceedings{therightangledp-2019/8,
title={The right (angled) perspective: improving the understanding of road scenes using boosted inverse perspective mapping},
author={Bruls T, Porav H, Kunze L & Newman P},
pages={302-309},
year = "2019"
}
Probably unknown: Deep inverse sensor modelling radar
Weston R, Cen S, Newman P & Posner H (2019), International Conference on Robotics and Automation 2019 (ICRA 2019), 5446-5452
BibTeX
@inproceedings{probablyunknown-2019/8,
title={Probably unknown: Deep inverse sensor modelling radar},
author={Weston R, Cen S, Newman P & Posner H},
pages={5446-5452},
year = "2019"
}
Training object detectors with noisy data
Chadwick S & Newman P (2019), IEEE Intelligent Vehicles Symposium, Proceedings, 2019-June, 1319-1325
BibTeX
@inproceedings{trainingobjectd-2019/6,
title={Training object detectors with noisy data},
author={Chadwick S & Newman P},
pages={1319-1325},
year = "2019"
}
Reducing steganography in cycle-consistency GANs
Porav H, Musat V & Newman P (2019), IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019-June, 78-82
BibTeX
@inproceedings{reducingstegano-2019/6,
title={Reducing steganography in cycle-consistency GANs},
author={Porav H, Musat V & Newman P},
pages={78-82},
year = "2019"
}
Multimotion visual odometry (MVO): Simultaneous estimation of camera and third-party motions
Judd K, Gammell J & Newman P (2019), IEEE/RSJ International Conference on Intelligent Robots and Systems
BibTeX
@inproceedings{multimotionvisu-2019/1,
title={Multimotion visual odometry (MVO): Simultaneous estimation of camera and third-party motions},
author={Judd K, Gammell J & Newman P},
year = "2019"
}
Geometric multi-model fitting with a convex relaxation algorithm
Amayo P, Pinies P, Paz LM & Newman P (2018), Conference on Computer Vision and Pattern Recognition (CVPR 2018)
BibTeX
@inproceedings{geometricmultim-2018/12,
title={Geometric multi-model fitting with a convex relaxation algorithm},
author={Amayo P, Pinies P, Paz LM & Newman P},
year = "2018"
}
Semantic classification of road markings from geometric primitives
Amayo P, Bruls T & Newman P (2018), 21st IEEE International Conference on Intelligent Transportation Systems (ITSC 2018)
BibTeX
@inproceedings{semanticclassif-2018/12,
title={Semantic classification of road markings from geometric primitives},
author={Amayo P, Bruls T & Newman P},
year = "2018"
}
Inferring road boundaries through and despite traffic
Suleymanov T, Amayo P & Newman P (2018), 21st IEEE International Conference on Intelligent Transportation Systems (ITSC 2018)
BibTeX
@inproceedings{inferringroadbo-2018/12,
title={Inferring road boundaries through and despite traffic},
author={Suleymanov T, Amayo P & Newman P},
year = "2018"
}
Reading between the lanes: Road layout reconstruction from partially segmented scenes
Kunze L, Bruls T, Suleymanov T & Newman P (2018), 21st IEEE International Conference on Intelligent Transportation Systems (ITSC 2018)
BibTeX
@inproceedings{readingbetweent-2018/12,
title={Reading between the lanes: Road layout reconstruction from partially segmented scenes},
author={Kunze L, Bruls T, Suleymanov T & Newman P},
year = "2018"
}
Imminent Collision Mitigation with Reinforcement Learning and Vision
Porav H & Newman P (2018), IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2018-November, 958-964
BibTeX
@inproceedings{imminentcollisi-2018/12,
title={Imminent Collision Mitigation with Reinforcement Learning and Vision},
author={Porav H & Newman P},
pages={958-964},
year = "2018"
}
Fast global labelling for depth-map improvement via architectural priors
Amayo PO, Pinies P, Paz LM & Newman PM (2018), International Conference on Robotics and Automation (ICRA 2018)
BibTeX
@inproceedings{fastgloballabel-2018/9,
title={Fast global labelling for depth-map improvement via architectural priors},
author={Amayo PO, Pinies P, Paz LM & Newman PM},
year = "2018"
}
Mark yourself: Road marking segmentation via weakly-supervised annotations from multimodal data
Bruls T, Maddern W, Morye AA & Newman P (2018), International Conference on Robotics and Automation (ICRA 2018)
BibTeX
@inproceedings{markyourselfroa-2018/9,
title={Mark yourself: Road marking segmentation via weakly-supervised annotations from multimodal data},
author={Bruls T, Maddern W, Morye AA & Newman P},
year = "2018"
}
Precise ego-motion estimation with millimeter-wave radar under diverse and challenging conditions
Cen S & Newman P (2018), 6045-6052
BibTeX
@inproceedings{preciseegomotio-2018/9,
title={Precise ego-motion estimation with millimeter-wave radar under diverse and challenging conditions},
author={Cen S & Newman P},
booktitle={2018 IEEE International Conference on Robotics and Automation (ICRA 2018)},
pages={6045-6052},
year = "2018"
}
Meshed up: learnt error correction in 3D reconstructions
Tanner M, Saftescu S, Bewley A & Newman P (2018), Proceedings - IEEE International Conference on Robotics and Automation(2018), 3201-3206
BibTeX
@inproceedings{mesheduplearnte-2018/9,
title={Meshed up: learnt error correction in 3D reconstructions},
author={Tanner M, Saftescu S, Bewley A & Newman P},
booktitle={IEEE International Conference on Robotics and Automation},
pages={3201-3206},
year = "2018"
}