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Robust Reconstruction of Power Lines from Incomplete Mobile and Aerial LiDAR Data

Paper recorded by Signals 4 on 2026-11-03 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-03 on arXiv · recorded by Signals 4 on 2026-11-04

Category: cs.CV · 计算机视觉 · first seen 2026-11-04

Abstract

Accurate vegetation-encroachment assessment and risk mitigation require electric utilities to accurately locate and characterize distribution-network assets, including poles and power lines, and distinguish among medium-voltage, low-voltage, neutral, and telecommunication lines. Mobile and aerial Light Detection and Ranging (LiDAR) point clouds provide detailed 3D representations of these assets a

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#14 most recent of 710 cs.CV papers we have recorded · ↑ newer: TAQ-MOTR: Tracking-Aware Detection Query Formation for End-to-End Mult · ↓ older: Factorized MLLM Embeddings for Composed Image Retrieval
Cite this page: Robust Reconstruction of Power Lines from Incomplete Mobile and Aerial LiDAR Data: the #14 most recent of 710 cs.CV papers we have recorded (as of 2026-11-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/robust-reconstruction-of-power-lines-from-incomplete-mobile-and-aerial-lidar-dat.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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