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Catenary detection based on segment concatenation

Alexander Cerón, Ivan Mondragón, Flavio Prieto


In this work, we propose a method for the detection of catenaries using images of electrical infrastructures. The method is based on the generation of polylines of concurrent segments. For the development of this process, a set of segment detection methods was evaluated in terms of accuracy and computing time. A process that permits the selection and concatenation of segments based on criteria of proximity and collinearity is presented.
For evaluating the performance of the detection method, a dataset composed of pictures of real catenaries taken from different perspectives is employed.


Catenary detection, Power line, Line detection, UAVs. Computing Classification System: Computing methodologies ! Object detection; Visual inspection; Vision for robotics; Shape inference.

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