103 citations · 627 across the 43 of their papers we have counts for
34 papers · 1 filter
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…
Improving Road Segmentation in Challenging Domains Using Similar Place Priors
Connor Malone, Sourav Garg, Ming Xu +2
Road segmentation in challenging domains, such as night, snow or rain, is a difficult task. Most current approaches boost performance using fine-tuning, domain adaptation, style tr…
ReF -- Rotation Equivariant Features for Local Feature Matching
Abhishek Peri, Kinal Mehta, Avneesh Mishra +3
Sparse local feature matching is pivotal for many computer vision and robotics tasks. To improve their invariance to challenging appearance conditions and viewing angles, and hence…
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…
MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery
Ahmad Khaliq, Michael Milford, Sourav Garg
Visual Place Recognition (VPR) is a crucial component of 6-DoF localization, visual SLAM and structure-from-motion pipelines, tasked to generate an initial list of place match hypo…
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…