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20212024
most citedUnsupervised Complementary-aware Multi-process Fusion for Visual Place Recognition

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024

Object Registration in Neural Fields

David Hall, Stephen Hausler, Sutharsan Mahendren +1

Neural fields provide a continuous scene representation of 3D geometry and appearance in a way which has great promise for robotics applications. One functionality that unlocks uni…

cs.RO20241 cited

Towards Long-term Robotics in the Wild

Stephen Hausler, Ethan Griffiths, Milad Ramezani +1

In this paper, we emphasise the critical importance of large-scale datasets for advancing field robotics capabilities, particularly in natural environments. While numerous datasets…

cs.RO2024

Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields

Stephen Hausler, David Hall, Sutharsan Mahendren +1

Neural fields, coordinate-based neural networks, have recently gained popularity for implicitly representing a scene. In contrast to classical methods that are based on explicit re…

cs.RO2022

Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems

Stephen Hausler, Ming Xu, Sourav Garg +4

6-DoF visual localization systems utilize principled approaches rooted in 3D geometry to perform accurate camera pose estimation of images to a map. Current techniques use hierarch…

cs.CV20214 cited

Unsupervised Complementary-aware Multi-process Fusion for Visual Place Recognition

Stephen Hausler, Tobias Fischer, Michael Milford

A recent approach to the Visual Place Recognition (VPR) problem has been to fuse the place recognition estimates of multiple complementary VPR techniques simultaneously. However, s…