28 citations · 37 across the 18 of their papers we have counts for
5 papers · 1 filter
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition
Bruno Arcanjo, Bruno Ferrarini, Maria Fasli +3
Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information. While VPR techniques built upon a Convolutional Neur…
Visual Place Recognition with Low-Resolution Images
Mihnea-Alexandru Tomita, Bruno Ferrarini, Michael Milford +2
Images incorporate a wealth of information from a robot's surroundings. With the widespread availability of compact cameras, visual information has become increasingly popular for…
Patch-DrosoNet: Classifying Image Partitions With Fly-Inspired Models For Lightweight Visual Place Recognition
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information. While Convolution Neural Networks (CNNs) currently d…
A-MuSIC: An Adaptive Ensemble System For Visual Place Recognition In Changing Environments
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
Visual place recognition (VPR) is an essential component of robot navigation and localization systems that allows them to identify a place using only image data. VPR is challenging…
Data-Efficient Sequence-Based Visual Place Recognition with Highly Compressed JPEG Images
Mihnea-Alexandru Tomita, Bruno Ferrarini, Michael Milford +2
Visual Place Recognition (VPR) is a fundamental task that allows a robotic platform to successfully localise itself in the environment. For decentralised VPR applications where the…