Owen Claxton — accepted AI-conference papers

2025

Adversarial Attacks and Detection in Visual Place Recognition for Safer Robot Navigation

Connor Malone, Owen Claxton, Iman Shames, Michael Milford

IROS 2025

Stand-alone Visual Place Recognition (VPR) systems have little defence against a well-designed adversarial attack, which can lead to disastrous consequences when deployed for robot navigation. This paper extensively analyzes the effect of two adversarial attacks common in other perception tasks and

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2024

Improving Visual Place Recognition Based Robot Navigation by Verifying Localization Estimates

Owen Claxton, Connor Malone, Helen Carson, Jason J. Ford, Gabe Bolton, Iman Shames +1

RA-L 2024

Visual Place Recognition (VPR) systems often have imperfect performance, affecting the ‘integrity’ of position estimates and subsequent robot navigation decisions. Previously, SVM classifiers have been used to monitor VPR integrity. This research introduces a novel Multi-Layer Perceptron (MLP) integ

Cited by 7 Source ↗code ↗Scholar ↗