211 citations · 1.9k across the 104 of their papers we have counts for
14 papers · 1 filter
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
Marvin Chancán, Michael Milford
Sequence-based place recognition methods for all-weather navigation are well-known for producing state-of-the-art results under challenging day-night or summer-winter transitions.…
Fast and Robust Bio-inspired Teach and Repeat Navigation
Dominic Dall'Osto, Tobias Fischer, Michael Milford
Fully autonomous mobile robots have a multitude of potential applications, but guaranteeing robust navigation performance remains an open research problem. For many tasks such as r…
Intelligent Reference Curation for Visual Place Recognition via Bayesian Selective Fusion
Timothy L. Molloy, Tobias Fischer, Michael Milford +1
A key challenge in visual place recognition (VPR) is recognizing places despite drastic visual appearance changes due to factors such as time of day, season, weather or lighting co…
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments
Bruno Ferrarini, Michael Milford, Klaus D. McDonald-Maier +1
Visual place recognition (VPR) is a robot's ability to determine whether a place was visited before using visual data. While conventional hand-crafted methods for VPR fail under ex…
ConvSequential-SLAM: A Sequence-based, Training-less Visual Place Recognition Technique for Changing Environments
Mihnea-Alexandru Tomită, Mubariz Zaffar, Michael Milford +2
Visual Place Recognition (VPR) is the ability to correctly recall a previously visited place under changing viewpoints and appearances. A large number of handcrafted and deep-learn…
Delta Descriptors: Change-Based Place Representation for Robust Visual Localization
Sourav Garg, Ben Harwood, Gaurangi Anand +1
Visual place recognition is challenging because there are so many factors that can cause the appearance of a place to change, from day-night cycles to seasonal change to atmospheri…