activity
20152022
most citedLevelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions

35 citations · 71 across the 23 of their papers we have counts for

collaborators

36 papers

cs.CV2024

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…

cs.CV2022

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…

cs.CV2022

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…

cs.LG2022

Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation

Eduardo Weber Wachter, Server Kasap, Sefki Kolozali +3

The emergence of new nanoscale technologies has imposed significant challenges to designing reliable electronic systems in radiation environments. A few types of radiation like Tot…

cs.CV2021

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…

cs.CV2021

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…