Aaron McFadyen — accepted AI-conference papers

2018

Assisted Control for Semi-Autonomous Power Infrastructure Inspection Using Aerial Vehicles

Aaron McFadyen, Feras Dayoub, Steve Martin, Jason Ford, Peter Corke

IROS 2018poster

This paper presents the design and implementation of an assisted control technology for a small multirotor platform for aerial inspection of fixed energy infrastructure. Sensor placement is supported by a theoretical analysis of expected sensor performance and constrained platform behaviour to speed…

Cited by 5 Source ↗Scholar ↗

2017

Image-Based Visual Servoing With Unknown Point Feature Correspondence

Aaron McFadyen, Marwen Jabeur, Peter Corke

RA-L 2017

This paper presents a new image-based visual servoing approach that simultaneously solves the feature correspondence and control problem. Using a finite-time optimal control framework, feature correspondence is implicitly solved for each new image during the control selection, alleviating the need f

Cited by 27 Source ↗Scholar ↗