147 citations · 353 across the 55 of their papers we have counts for
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Employing Universal Voting Schemes for Improved Visual Place Recognition Performance
Maria Waheed, Michael Milford, Xiaojun Zhai +3
Visual Place Recognition has been the subject of many endeavours utilizing different ensemble approaches to improve VPR performance. Ideas like multi-process fusion, Fly-Inspired V…
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…
An Evaluation and Ranking of Different Voting Schemes for Improved Visual Place Recognition
Maria Waheed, Michael Milford, Xiaojun Zhai +2
Visual Place Recognition has recently seen a surge of endeavours utilizing different ensemble approaches to improve VPR performance. Ideas like multi-process fusion or switching in…
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…
A Complementarity-Based Switch-Fuse System for Improved Visual Place Recognition
Maria Waheed, Sania Waheed, Michael Milford +2
Recently several fusion and switching based approaches have been presented to solve the problem of Visual Place Recognition. In spite of these systems demonstrating significant boo…
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…
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
Low-overhead visual place recognition (VPR) is a highly active research topic. Mobile robotics applications often operate under low-end hardware, and even more hardware capable sys…
Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images
Mihnea-Alexandru Tomita, Bruno Ferrarini, Michael Milford +2
Visual Place Recognition (VPR) is the ability of a robotic platform to correctly interpret visual stimuli from its on-board cameras in order to determine whether it is currently lo…
SwitchHit: A Probabilistic, Complementarity-Based Switching System for Improved Visual Place Recognition in Changing Environments
Maria Waheed, Michael Milford, Klaus McDonald-Maier +1
Visual place recognition (VPR), a fundamental task in computer vision and robotics, is the problem of identifying a place mainly based on visual information. Viewpoint and appearan…
Highly-Efficient Binary Neural Networks for Visual Place Recognition
Bruno Ferrarini, Michael Milford, Klaus D. McDonald-Maier +1
VPR is a fundamental task for autonomous navigation as it enables a robot to localize itself in the workspace when a known location is detected. Although accuracy is an essential r…
A Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms
Rose Power, Mubariz Zaffar, Bruno Ferrarini +3
Visual Place Recognition (VPR) has been a subject of significant research over the last 15 to 20 years. VPR is a fundamental task for autonomous navigation as it enables self-local…
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
State-of-the-art visual place recognition performance is currently being achieved utilizing deep learning based approaches. Despite the recent efforts in designing lightweight conv…
Sequence-Based Filtering for Visual Route-Based Navigation: Analysing the Benefits, Trade-offs and Design Choices
Mihnea-Alexandru Tomită, Mubariz Zaffar, Michael Milford +2
Visual Place Recognition (VPR) is the ability to correctly recall a previously visited place using visual information under environmental, viewpoint and appearance changes. An emer…
Scene Retrieval for Contextual Visual Mapping
William H. B. Smith, Michael Milford, Klaus D. McDonald-Maier +1
Visual navigation localizes a query place image against a reference database of place images, also known as a `visual map'. Localization accuracy requirements for specific areas of…
Improving Visual Place Recognition Performance by Maximising Complementarity
Maria Waheed, Michael Milford, Klaus D. McDonald-Maier +1
Visual place recognition (VPR) is the problem of recognising a previously visited location using visual information. Many attempts to improve the performance of VPR methods have be…
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…
VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change
Mubariz Zaffar, Sourav Garg, Michael Milford +4
Visual Place Recognition (VPR) is the process of recognising a previously visited place using visual information, often under varying appearance conditions and viewpoint changes an…
CAMAL: Context-Aware Multi-layer Attention framework for Lightweight Environment Invariant Visual Place Recognition
Ahmad Khaliq, Shoaib Ehsan, Michael Milford +1
In the last few years, Deep Convolutional Neural Networks (D-CNNs) have shown state-of-the-art (SOTA) performance for Visual Place Recognition (VPR), a pivotal component of long-te…
Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors
Bruno Ferrarini, Maria Waheed, Sania Waheed +3
Visual Place Recognition (VPR) is a fundamental yet challenging task for small Unmanned Aerial Vehicle (UAV). The core reasons are the extreme viewpoint changes, and limited comput…
Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?
Mubariz Zaffar, Ahmad Khaliq, Shoaib Ehsan +3
Visual Place Recognition (VPR) has seen significant advances at the frontiers of matching performance and computational superiority over the past few years. However, these evaluati…