Les Dawes — accepted AI-conference papers

2021

Unsupervised Selection of Optimal Operating Parameters for Visual Place Recognition Algorithms Using Gaussian Mixture Models

James Mount, Ming Xu, Les Dawes, Michael Milford

RA-L 2021

Visual place recognition (VPR) algorithms are a key part of many autonomous systems, but typically consist of many parameters which require non-trivial optimization for a given deployment environment. Being able to automatically select the optimal operating point for parameters within a VPR algorith

Cited by 5 Source ↗Scholar ↗

2019

Automatic Coverage Selection for Surface-Based Visual Localization

James Mount, Les Dawes, Michael J. Milford

RA-L 2019

Localization is a critical capability for robots, drones, and autonomous vehicles operating in a wide range of environments. One of the critical considerations for designing, training, or calibrating visual localization systems is the coverage of the visual sensors equipped on the platforms. In an a

Cited by 7 Source ↗Scholar ↗