Conference proceedings paper

3D Pose Estimation and Tracking of an Electricity Pylon

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Publication Details

Author list: Ali EY, Nicolls F

Publisher: Institute of Electrical and Electronics Engineers ( IEEE )

Place: Cape Town, South Africa 29 – 31 January 2020

Publication year: 2020

Start page: 759

End page: 765

Total number of pages: 7

ISBN: 978-1-7281-4162-6


We demonstrate an algorithm for estimating the 6 degree-of-freedom pose of a textureless object such as a power pylon. The method is designed to be part of the inspection process for a transmission line. The approach involves three steps, namely predicting the vertices of the pylon with a neural network, establishing the correspondence between vertices with hashing techniques, and incrementally tracking the movement of the camera. We built a pylon model for the experiments and used it to generate our dataset.


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Last updated on 2021-28-05 at 18:39