Matthew Gadd

According to our database, Matthew Gadd authored at least 39 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields.

Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman

IEEE Robotics Autom. Lett., 2024

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

Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul M. Newman

CoRR, 2024

That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation.

Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini

CoRR, 2024

OORD: The Oxford Offroad Radar Dataset.

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

CoRR, 2024

Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data.

David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman

CoRR, 2024

Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling.

David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini

CoRR, 2024

RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model.

Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd

CoRR, 2024

Open-RadVLAD: Fast and Robust Radar Place Recognition.

Matthew Gadd, Paul Newman

CoRR, 2024

2023

Robot-Relay : Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Network.

Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini

CoRR, 2023

What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation.

Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, Paul Newman

CoRR, 2023

LROC-PANGU-GAN: Closing the Simulation Gap in Learning Crater Segmentation with Planetary Simulators.

Jaewon La, Jaime Phadke, Matt Hutton, Marius Schwinning, Gabriele De Canio, Florian Renk, Lars Kunze, Matthew Gadd

CoRR, 2023

Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance.

Jianhao Yuan, Paul Newman, Matthew Gadd

IROS, 2023

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

Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman

IROS, 2023

SEM-GAT: Explainable Semantic Pose Estimation Using Learned Graph Attention.

Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze

Proceedings of the 21st International Conference on Advanced Robotics, 2023

Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations.

Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman

IEEE Robotics Autom. Lett., 2022

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

Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry.

Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Depth-SIMS: Semi-Parametric Image and Depth Synthesis.

Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

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

Stefan Saftescu, Matthew Gadd, Paul Newman

Int. J. Pattern Recognit. Artif. Intell., 2021

Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos.

Matthew Gadd, Daniele De Martini, Paul Newman

CoRR, 2021

The Oxford Road Boundaries Dataset.

Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning.

David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul M. Newman

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Contrastive Learning for Unsupervised Radar Place Recognition.

Matthew Gadd, Daniele De Martini, Paul Newman

Proceedings of the 20th International Conference on Advanced Robotics, 2021

2020

kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation.

Daniele De Martini, Matthew Gadd, Paul Newman

Sensors, 2020

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset.

Will Maddern, Geoffrey Pascoe, Matthew Gadd, Dan Barnes, Brian Yeomans, Paul Newman

CoRR, 2020

LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic.

Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

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

Matthew Gadd, Daniele De Martini, Paul Newman

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

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

Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

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

Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

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

David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

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

Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

What Could Go Wrong? Introspective Radar Odometry in Challenging Environments.

Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision.

Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman

Proceedings of the International Conference on Robotics and Automation, 2019

The Hulk: Design and Development of a Weather-Proof Vehicle for Long-Term Autonomy in Outdoor Environments.

Stephen Kyberd, Jonathan Attias, Peter Get, Paul Murcutt, Chris Prahacs, Matthew Towlson, Simon Venn, Andreia Vasconcelos, Matthew Gadd, Daniele De Martini, Paul Newman

Proceedings of the Field and Service Robotics, 2019

2018

The Data Market: Policies for Decentralised Visual Localisation.

Matthew Gadd, Paul Newman

CoRR, 2018

2016

Checkout my map: Version control for fleetwide visual localisation.

Matthew Gadd, Paul Newman

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

A framework for infrastructure-free warehouse navigation.

Matthew Gadd, Paul Newman

Proceedings of the IEEE International Conference on Robotics and Automation, 2015