Matthew Gadd

Orcid: 0000-0001-9447-8619

According to our database1, Matthew Gadd authored at least 42 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
OORD: The Oxford Offroad Radar Dataset.
IEEE Trans. Intell. Transp. Syst., November, 2024

Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation From Unlabeled Data.
IEEE Trans. Robotics, 2024

NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields.
IEEE Robotics Autom. Lett., 2024

Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring.
CoRR, 2024

Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data.
CoRR, 2024

Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling.
CoRR, 2024

RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model.
CoRR, 2024

Open-RadVLAD: Fast and Robust Radar Place Recognition.
CoRR, 2024

Masked γ-SSL: Learning Uncertainty Estimation via Masked Image Modeling.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Robot-Relay : Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Network.
CoRR, 2023

What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation.
CoRR, 2023

LROC-PANGU-GAN: Closing the Simulation Gap in Learning Crater Segmentation with Planetary Simulators.
CoRR, 2023

Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance.
IROS, 2023

Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control.
IROS, 2023

SEM-GAT: Explainable Semantic Pose Estimation Using Learned Graph Attention.
Proceedings of the 21st International Conference on Advanced Robotics, 2023

Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations.
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.
IEEE Robotics Autom. Lett., 2022

BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR.
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.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Depth-SIMS: Semi-Parametric Image and Depth Synthesis.
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.
Int. J. Pattern Recognit. Artif. Intell., 2021

Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos.
CoRR, 2021

The Oxford Road Boundaries Dataset.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Contrastive Learning for Unsupervised Radar Place Recognition.
Proceedings of the 20th International Conference on Advanced Robotics, 2021

2020
kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation.
Sensors, 2020

Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset.
CoRR, 2020

LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning.
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.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
What Could Go Wrong? Introspective Radar Odometry in Challenging Environments.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision.
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.
Proceedings of the Field and Service Robotics, 2019

2018
The Data Market: Policies for Decentralised Visual Localisation.
CoRR, 2018

2016
Checkout my map: Version control for fleetwide visual localisation.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
A framework for infrastructure-free warehouse navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015


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