EchoVPR: Echo State Networks for Visual Place Recognition

1 code implementation • 11 Oct 2021 • Anil Ozdemir, Mark Scerri, Andrew B. Barron, Andrew Philippides, Michael Mangan, Eleni Vasilaki, Luca Manneschi

We report that the addition of ESNs to pre-processed convolutional neural networks led to a dramatic boost in performance in comparison to non-recurrent networks in five out of six standard benchmarks (GardensPoint, SPEDTest, ESSEX3IN1, Oxford RobotCar, and Nordland), demonstrating that ESNs are able to capture the temporal structure inherent in VPR problems.

Autonomous Navigation Visual Place Recognition

Place Recognition with Event-based Cameras and a Neural Implementation of SeqSLAM

no code implementations • 18 May 2015 • Michael Milford, Hanme Kim, Michael Mangan, Stefan Leutenegger, Tom Stone, Barbara Webb, Andrew Davison

Event-based cameras offer much potential to the fields of robotics and computer vision, in part due to their large dynamic range and extremely high "frame rates".