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Robust Visual Localization of a UAV Over a Pipe-Rack Based on the Lie Group SE(3)

Vincenzo Lippiello, Jonathan Cacace

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Abstract

Visual inspection and maintenance of industrial pipes using robots represent an emerging application in Oil & Gas and refinery facilities. In this domain, we present a pose tracking system based on a single camera sensor to localize an unmanned aerial vehicle operating over a pipe-rack to carry out inspection activities. We propose a unified framework based on the Lie group SE(3) which allows the simultaneous estimation of the pose of the UAV along with some parameters of the pipe-rack model. Numerical simulations have been performed to demonstrate the effectiveness of the proposed approach.

Index terms

Localization Aerial Systems: Perception and Autonomy Environment Monitoring and Management