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Found 6 papers, 0 papers with code
Multi-Technique Sequential Information Consistency For Dynamic Visual Place Recognition In Changing Environments
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.
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition
Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information.
Patch-DrosoNet: Classifying Image Partitions With Fly-Inspired Models For Lightweight Visual Place Recognition
Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information.
A-MuSIC: An Adaptive Ensemble System For Visual Place Recognition In Changing Environments
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.
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments
Low-overhead visual place recognition (VPR) is a highly active research topic.
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments
In this work, our goal is to provide an algorithm of extreme compactness and efficiency while achieving state-of-the-art robustness to appearance changes and small point-of-view variations.
