default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMatthew Gadd
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j6]Valentina Musat
, Daniele De Martini, Matthew Gadd, Paul Newman:
NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields. IEEE Robotics Autom. Lett. 9(3): 2431-2438 (2024)- [j5]Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze:
OORD: The Oxford Offroad Radar Dataset. IEEE Trans. Intell. Transp. Syst. 25(11): 18779-18790 (2024) - [j4]David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman:
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation From Unlabeled Data. IEEE Trans. Robotics 40: 3146-3165 (2024) - [c29]Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini:
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation. ICRA 2024: 12276-12282 - [c28]Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul Newman:
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. ICRA 2024: 15883-15889 - [c27]David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini:
Masked γ-SSL: Learning Uncertainty Estimation via Masked Image Modeling. ICRA 2024: 16192-16198 - [c26]Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman:
NeuralFloors++: Consistent Street-Level Scene Generation From BEV Semantic Maps. IROS 2024: 12872-12879 - [c25]Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd:
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning. Robotics: Science and Systems 2024 - [i32]Matthew Gadd, Paul Newman:
Open-RadVLAD: Fast and Robust Radar Place Recognition. CoRR abs/2401.15380 (2024) - [i31]Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd:
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model. CoRR abs/2402.10828 (2024) - [i30]David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini:
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling. CoRR abs/2402.17622 (2024) - [i29]David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman:
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data. CoRR abs/2402.17653 (2024) - [i28]Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze:
OORD: The Oxford Offroad Radar Dataset. CoRR abs/2403.02845 (2024) - [i27]Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini:
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation. CoRR abs/2403.04755 (2024) - [i26]Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul M. Newman:
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. CoRR abs/2403.09025 (2024) - [i25]Matthew Gadd, Daniele De Martini, Luke Pitt, Wayne Tubby, Matthew Towlson, Chris Prahacs, Oliver Bartlett, John Jackson, Man Qi, Paul Newman, Andrew Hector, Roberto Salguero-Gómez, Nick Hawes:
Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring. CoRR abs/2404.10446 (2024) - 2023
- [c24]Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini:
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations. CVPR 2023: 11113-11123 - [c23]Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze:
SEM-GAT: Explainable Semantic Pose Estimation Using Learned Graph Attention. ICAR 2023: 367-374 - [c22]Jianhao Yuan, Paul Newman, Matthew Gadd:
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance. IROS 2023: 1350-1357 - [c21]Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman:
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. IROS 2023: 6364-6370 - [c20]Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini:
Robot-Relay: Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Networks. ISER 2023: 129-140 - [c19]Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, Paul Newman:
What You See Is What You Get: Experience Ranking with Deep Neural Dataset-to-Dataset Similarity for Topological Localisation. ISER 2023: 595-607 - [i24]Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini:
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations. CoRR abs/2304.10036 (2023) - [i23]Jianhao Yuan, Paul Newman, Matthew Gadd:
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance. CoRR abs/2306.12556 (2023) - [i22]Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman:
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. CoRR abs/2306.14848 (2023) - [i21]Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze:
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention. CoRR abs/2308.03718 (2023) - [i20]Jaewon La, Jaime Phadke, Matt Hutton, Marius Schwinning, Gabriele De Canio, Florian Renk, Lars Kunze, Matthew Gadd:
LROC-PANGU-GAN: Closing the Simulation Gap in Learning Crater Segmentation with Planetary Simulators. CoRR abs/2310.02781 (2023) - [i19]Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, Paul Newman:
What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation. CoRR abs/2310.13622 (2023) - [i18]Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini:
Robot-Relay : Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Network. CoRR abs/2310.15677 (2023) - 2022
- [j3]Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman:
What Goes Around: Leveraging a Constant-Curvature Motion Constraint in Radar Odometry. IEEE Robotics Autom. Lett. 7(3): 7865-7872 (2022) - [c18]Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner:
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. ICRA 2022: 2186-2192 - [c17]Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman:
Depth-SIMS: Semi-Parametric Image and Depth Synthesis. ICRA 2022: 2388-2394 - [c16]Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman:
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. IROS 2022: 7004-7011 - [i17]Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner:
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. CoRR abs/2203.00459 (2022) - [i16]Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman:
Depth-SIMS: Semi-Parametric Image and Depth Synthesis. CoRR abs/2203.03405 (2022) - [i15]Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman:
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry. CoRR abs/2206.10517 (2022) - [i14]Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman:
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. CoRR abs/2206.15154 (2022) - 2021
- [j2]Stefan Saftescu, Matthew Gadd, Paul Newman:
Look Here: Learning Geometrically Consistent Refinement of Inverse-Depth Images for 3D Reconstruction. Int. J. Pattern Recognit. Artif. Intell. 35(16): 2160015:1-2160015:35 (2021) - [c15]Matthew Gadd, Daniele De Martini, Paul Newman:
Contrastive Learning for Unsupervised Radar Place Recognition. ICAR 2021: 344-349 - [c14]David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul M. Newman:
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning. ICRA 2021: 9536-9542 - [c13]Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman:
The Oxford Road Boundaries Dataset. IV Workshops 2021: 222-227 - [i13]David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul Newman:
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning. CoRR abs/2103.00869 (2021) - [i12]Matthew Gadd, Daniele De Martini, Paul Newman:
Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos. CoRR abs/2106.06703 (2021) - [i11]Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman:
The Oxford Road Boundaries Dataset. CoRR abs/2106.08983 (2021) - [i10]Matthew Gadd, Daniele De Martini, Paul Newman:
Contrastive Learning for Unsupervised Radar Place Recognition. CoRR abs/2110.02744 (2021) - 2020
- [j1]Daniele De Martini, Matthew Gadd, Paul Newman:
kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation. Sensors 20(21): 6002 (2020) - [c12]Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman:
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. ICRA 2020: 4358-4364 - [c11]Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner:
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. ICRA 2020: 6433-6438 - [c10]David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman:
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. ITSC 2020: 1-6 - [c9]Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze:
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. IV 2020: 150-155 - [c8]Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman:
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. IV 2020: 431-436 - [c7]Matthew Gadd, Daniele De Martini, Paul Newman:
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. PLANS 2020: 270-276 - [c6]Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman:
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. PLANS 2020: 334-341 - [i9]Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman:
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. CoRR abs/2001.09438 (2020) - [i8]Will Maddern, Geoffrey Pascoe, Matthew Gadd, Dan Barnes, Brian Yeomans, Paul Newman:
Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset. CoRR abs/2002.10152 (2020) - [i7]Matthew Gadd, Daniele De Martini, Paul Newman:
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. CoRR abs/2003.04699 (2020) - [i6]Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman:
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. CoRR abs/2003.04708 (2020) - [i5]Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman:
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. CoRR abs/2004.03451 (2020) - [i4]Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze:
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. CoRR abs/2005.02031 (2020) - [i3]David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman:
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. CoRR abs/2005.05175 (2020)
2010 – 2019
- 2019
- [c5]Stephen Kyberd, Jonathan Attias, Peter Get, Paul Murcutt, Chris Prahacs, Matthew Towlson, Simon Venn, Andreia Vasconcelos, Matthew Gadd, Daniele De Martini, Paul Newman:
The Hulk: Design and Development of a Weather-Proof Vehicle for Long-Term Autonomy in Outdoor Environments. FSR 2019: 101-114 - [c4]Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman:
Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision. ICRA 2019: 1190-1196 - [c3]Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman:
What Could Go Wrong? Introspective Radar Odometry in Challenging Environments. ITSC 2019: 2835-2842 - [i2]Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner:
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. CoRR abs/1909.01300 (2019) - 2018
- [i1]Matthew Gadd, Paul Newman:
The Data Market: Policies for Decentralised Visual Localisation. CoRR abs/1801.05607 (2018) - 2016
- [c2]Matthew Gadd, Paul Newman:
Checkout my map: Version control for fleetwide visual localisation. IROS 2016: 5729-5736 - 2015
- [c1]Matthew Gadd, Paul Newman:
A framework for infrastructure-free warehouse navigation. ICRA 2015: 3271-3278
Coauthor Index
aka: Paul M. Newman
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-04 21:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
