8 citations · 8 across the 4 of their papers we have counts for
5 papers · 1 filter
One Channel to Rule Them All: Rethinking Input Representation for Visual Place Recognition
Timur Ismagilov, Shakaiba Majeed, Michael Milford +3
Visual Place Recognition (VPR) is fundamental to long-term robot localization and SLAM, yet current systems overwhelmingly rely on RGB input, implicitly assuming color is necessary…
Adversarial Attacks and Detection in Visual Place Recognition for Safer Robot Navigation
Connor Malone, Owen Claxton, Iman Shames +1
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…
A Hyperdimensional One Place Signature to Represent Them All: Stackable Descriptors For Visual Place Recognition
Connor Malone, Somayeh Hussaini, Tobias Fischer +1
Visual Place Recognition (VPR) enables coarse localization by comparing query images to a reference database of geo-tagged images. Recent breakthroughs in deep learning architectur…
Improving Visual Place Recognition Based Robot Navigation By Verifying Localization Estimates
Owen Claxton, Connor Malone, Helen Carson +4
Visual Place Recognition (VPR) systems often have imperfect performance, affecting the `integrity' of position estimates and subsequent robot navigation decisions. Previously, SVM…
Dynamically Modulating Visual Place Recognition Sequence Length For Minimum Acceptable Performance Scenarios
Connor Malone, Ankit Vora, Thierry Peynot +1
Mobile robots and autonomous vehicles are often required to function in environments where critical position estimates from sensors such as GPS become uncertain or unreliable. Sing…