activity
20222026
most citedRAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model

11 citations · 16 across the 21 of their papers we have counts for

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Showing 2023Show all

6 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…

cs.RO2023

Doppler-aware Odometry from FMCW Scanning Radar

Fraser Rennie, David Williams, Paul Newman +1

This work explores Doppler information from a millimetre-Wave (mm-W) Frequency-Modulated Continuous-Wave (FMCW) scanning radar to make odometry estimation more robust and accurate.…

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…

cs.CV2023★ 1 cited

Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations

Benjamin Ramtoula, Matthew Gadd, Paul Newman +1

Selecting appropriate datasets is critical in modern computer vision. However, no general-purpose tools exist to evaluate the extent to which two datasets differ. For this, we prop…