Apr 24, 2024 · In this study, we explore three deep learning architectures, namely KPConv, PointCNN, and RandLA-Net, for powerline segmentation in aerial and mobile LiDAR ...

Apr 24, 2024 · In this study, we explore three deep learning architectures, namely KPConv, PointCNN, and RandLA-Net, for powerline segmentation in aerial and ...

Apr 9, 2024 · In this study, we explore three deep learning architectures, namely KPConv, PointCNN, and RandLA-Net, for powerline segmentation in aerial and ...

Oct 22, 2024 · Power lines extraction using mobile LiDAR point cloud of different roadway settings are presented in this paper. The proposed method works in ...

Aug 26, 2022 · Automatic power line extraction from aerial images of unmanned aerial vehicles is one of the key technologies of power line inspection.

Subsequently, Section 4 introduces automatic methods for extracting powerlines and pylons using tracking and detection-based, machine learning-based, and deep ...

In this paper, we propose a multi-branch network to automatically extract an arbitrary number of individual power lines from point clouds collected by UAV- ...

Feb 10, 2023 · Machine learning is a powerful supervised statistical method that can be used to separate power line points from 3D LiDAR data. Popular ...

A mobile LiDAR data classification method based on machine learning (ML) is presented, and a new LiDAR-based point feature namely Zmod is introduced, and ...

Missing: aerial mobile