Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning

综述输电和配电线路目视巡检的自动化，并提出一个以无人机、光学影像和深度学习为核心的构想。徒步巡线和直升机巡检缓慢、昂贵且危险，而早期的自动化直升机和沿线爬行机器人因精度要求严苛而未被广泛采用。文章讨论了用于无人机导航和巡检的深度视觉，以及相关挑战与可能的解决方案。

主要发现

• Proposes UAV-based inspection with optical images as primary data and deep learning for analysis
• Identifies deep vision as useful for both navigation along lines and component inspection

局限

• Abstract only reviewed
• Conceptual proposal; no field validation in the review itself