|Title:||An image-based method to classify power lines in lidar point-clouds||Authors:||Ortega, Sebastián
Santana Núñez, José Miguel
Suárez Rivero, José Pablo
|UNESCO Clasification:||220990 Tratamiento digital. Imágenes
3306 Ingeniería y tecnología eléctricas
|Issue Date:||2018||Project:||Desarrollo de un Prototipo Lidar 2018||Conference:||12th International Tools and Methods of Competitive Engineering Symposium (TMCE 2018)||Abstract:||Power line management becomes critical as power companies need to assure the reliability of their services. Many of them rely on LiDAR scanning of their assets to get information about the status of the power line corridor and possible dangers in the area. In this paper, a novel method to classify wire and pylon points from a LiDAR point cloud is introduced. The method generates images from different measurements of the data to select candidate areas and then applies a clustering algorithm to group and filter out false positives. A prior classification of ground points is not necessary for the method to work. Tests have been conducted on a set with 25 point cloud files to show the effectiveness of the presented method.||URI:||http://hdl.handle.net/10553/75217||Source:||Proceedings of TMCE 2018|
|Appears in Collections:||Actas de congresos|
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