activity
20182024
most citedReal-time Kinematic Ground Truth for the Oxford RobotCar Dataset

51 citations · 92 across the 29 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.RO2023

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

Luke Robinson, Matthew Gadd, Paul Newman +1

We present a system which grows and manages a network of remote viewpoints during the natural installation cycle for a newly installed camera network or a newly deployed robot flee…

cs.CV2023

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 +1

Recalling the most relevant visual memories for localisation or understanding a priori the likely outcome of localisation effort against a particular visual memory is useful for ef…

eess.IV2023

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

Jaewon La, Jaime Phadke, Matt Hutton +5

It is critical for probes landing on foreign planetary bodies to be able to robustly identify and avoid hazards - as, for example, steep cliffs or deep craters can pose significant…

cs.RO2023

SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention

Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov +2

This paper proposes a Graph Neural Network(GNN)-based method for exploiting semantics and local geometry to guide the identification of reliable pointcloud registration candidates.…

cs.RO2023

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

Luke Robinson, Daniele De Martini, Matthew Gadd +1

This work proposes a fast deployment pipeline for visually-servoed robots which does not assume anything about either the robot - e.g. sizes, colour or the presence of markers - or…

cs.RO2023

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

Jianhao Yuan, Paul Newman, Matthew Gadd

Localisation with Frequency-Modulated Continuous-Wave (FMCW) radar has gained increasing interest due to its inherent resistance to challenging environments. However, complex artef…