Matthew Gadd

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 62

Top Topics

Recognition And Pose Estimation

Autonomous Vehicles

Pose Estimation

Visual Servoing

Top Venues

IEEE Robotics Autom. Lett.

Publications

David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini
Masked γ-SSL: Learning Uncertainty Estimation via Masked Image Modeling. ICRA (2024)
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 (2024)
David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling. CoRR (2024)
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 (2024)
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 (2024)
David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data. CoRR (2024)
Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul M. Newman
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. CoRR (2024)
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) (2024)
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 (2024)
Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul Newman
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. ICRA (2024)
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)
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 (2024)
Matthew Gadd, Paul Newman
Open-RadVLAD: Fast and Robust Radar Place Recognition. CoRR (2024)
Jianhao Yuan, Paul Newman, Matthew Gadd
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance. CoRR (2023)
Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze
SEM-GAT: Explainable Semantic Pose Estimation Using Learned Graph Attention. ICAR (2023)
Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. CoRR (2023)
Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations. CoRR (2023)
Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations. CVPR (2023)
Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini
Robot-Relay : Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Network. CoRR (2023)
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 (2023)
Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. IROS (2023)
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 (2023)
Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention. CoRR (2023)
Jianhao Yuan, Paul Newman, Matthew Gadd
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance. IROS (2023)
Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry. CoRR (2022)
Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. IROS (2022)
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
Depth-SIMS: Semi-Parametric Image and Depth Synthesis. ICRA (2022)
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)
Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. CoRR (2022)
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 (2022)
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
Depth-SIMS: Semi-Parametric Image and Depth Synthesis. CoRR (2022)
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) (2022)
Matthew Gadd, Daniele De Martini, Paul Newman
Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos. CoRR (2021)
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)
Matthew Gadd, Daniele De Martini, Paul Newman
Contrastive Learning for Unsupervised Radar Place Recognition. ICAR (2021)
Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
The Oxford Road Boundaries Dataset. CoRR (2021)
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) (2021)
Matthew Gadd, Daniele De Martini, Paul Newman
Contrastive Learning for Unsupervised Radar Place Recognition. CoRR (2021)
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 (2021)
Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
The Oxford Road Boundaries Dataset. IV Workshops (2021)
Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. CoRR (2020)
Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. PLANS (2020)
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)
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 (2020)
Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. ICRA (2020)
Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. CoRR (2020)
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 (2020)
Will Maddern, Geoffrey Pascoe, Matthew Gadd, Dan Barnes, Brian Yeomans, Paul Newman
Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset. CoRR (2020)
Daniele De Martini, Matthew Gadd, Paul Newman
kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation. Sensors 20 (21) (2020)
Matthew Gadd, Daniele De Martini, Paul Newman
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. PLANS (2020)
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)
Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. IV (2020)
Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. CoRR (2020)
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)
Matthew Gadd, Daniele De Martini, Paul Newman
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. CoRR (2020)
Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman
What Could Go Wrong? Introspective Radar Odometry in Challenging Environments. ITSC (2019)
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)
Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. CoRR (2019)
Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman
Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision. ICRA (2019)
Matthew Gadd, Paul Newman
The Data Market: Policies for Decentralised Visual Localisation. CoRR (2018)
Matthew Gadd, Paul Newman
Checkout my map: Version control for fleetwide visual localisation. IROS (2016)
Matthew Gadd, Paul Newman
A framework for infrastructure-free warehouse navigation. ICRA (2015)