Important transmission facilities (such as “three-crossing” and dense corridors) may cause regional blackouts or even electric shock accidents due to external force damage

making their effective monitoring and early warning crucial for the safe and stable operation of power grids as well as the safety of surrounding personnel. Perception methods based on vision and LiDAR can provide intuitive

intelligent

and timely feedback on external force damage in transmission corridors

enabling early assessment and response to potential hazards

and thus have attracted wide attention and in-depth research from scholars at home and abroad. This paper elaborates on the key technologies and research progress of intelligent perception methods for the prevention of external force damage in transmission line corridors. First

deep vision-based object detection technologies and their principles are introduced

and their application status and limitations in hazard detection of transmission corridors are analyzed. Second

the application of LiDAR-based active distance measurement technologies in monitoring hazards such as tree obstacles is summarized. Then

image perception-based passive distance measurement methods

including binocular vision

monocular depth estimation

and point cloud-image fusion

are systematically reviewed in terms of their methodological frameworks and applications. Finally

the challenges faced by current prevention of external force damage technologies in practical applications are discussed

and potential research directions and approaches are proposed. This research progress provides important technical supports and engineering reference for ensuring the intrinsic safety of transmission line corridors and preventing large-area blackouts.