A high-precision method of power line 3D reconstruction using binocular depth camera

With the increasing demand for power systems driven by the rise of new energy sources, the need for efficient and safe power line inspection and maintenance has become more critical. This paper presents a novel method for power line inspection and 3D reconstruction using a camera-based approach combined with binocular depth estimation. By capturing RGB images and utilizing the internal and external parameters of the camera, dense point clouds of the power lines are reconstructed. Subsequently, image segmentation algorithms are applied to separate the power lines from the background, and the extracted point cloud data is integrated for 3D reconstruction. Compared to traditional radar-based methods, this approach is more cost-effective and enables real-time 3D reconstruction, offering a faster and more intuitive way for ground maintenance personnel to monitor the power line environment. This innovation significantly enhances the efficiency and safety of power line inspections while reducing the risks associated with maintenance tasks.

Authors

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/cait64506.2024.10962840
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A high-precision method of power line 3D reconstruction using binocular depth camera

Shangbing Yang, Yaosheng Huang, Jianping Chen, Chao Zhang et al.
Advanced Measurement and Detection Methods
article

A high-precision method of power line 3D reconstruction using binocular depth camera

Shangbing Yang, Yaosheng Huang, Jianping Chen, Chao Zhang, Zhifeng Chen, Jianfeng Wu
article en

Abstract

With the increasing demand for power systems driven by the rise of new energy sources, the need for efficient and safe power line inspection and maintenance has become more critical. This paper presents a novel method for power line inspection and 3D reconstruction using a camera-based approach combined with binocular depth estimation. By capturing RGB images and utilizing the internal and external parameters of the camera, dense point clouds of the power lines are reconstructed. Subsequently, image segmentation algorithms are applied to separate the power lines from the background, and the extracted point cloud data is integrated for 3D reconstruction. Compared to traditional radar-based methods, this approach is more cost-effective and enables real-time 3D reconstruction, offering a faster and more intuitive way for ground maintenance personnel to monitor the power line environment. This innovation significantly enhances the efficiency and safety of power line inspections while reducing the risks associated with maintenance tasks.

Openalex Percentile: Top 73%
Advanced Measurement and Detection Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.