7 citations · 8 across the 12 of their papers we have counts for
14 papers · 1 filter
Image-based Geo-localization for Robotics: Are Black-box Vision-Language Models there yet?
Sania Waheed, Bruno Ferrarini, Michael Milford +2
The advances in Vision-Language models (VLMs) offer exciting opportunities for robotic applications involving image geo-localization - the problem of identifying the geo-coordinate…
On Motion Blur and Deblurring in Visual Place Recognition
Timur Ismagilov, Bruno Ferrarini, Michael Milford +3
Visual Place Recognition (VPR) in mobile robotics enables robots to localize themselves by recognizing previously visited locations using visual data. While the reliability of VPR…
Multi-Technique Sequential Information Consistency For Dynamic 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…
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…