PAPER P03 · 2018
Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging
Kang, D., Cha, Y.-J. — Computer-Aided Civil and Infrastructure Engineering 33(10):885-902
已读摘要 引用次数: openalex: 386 · crossref: 369 · semanticScholar: 363 (2026-10-22)
构建一架以超声波信标代替 GPS 导航的无人机，使其能在桥梁下方等 GPS 不可靠的场所自主飞行，并与 CNN 裂缝检测相结合。检测到的损伤带有地理标签，因而可知其在结构上的位置。混凝土裂缝从自主飞行期间拍摄的视频中被检测出来。
主要发现
- Crack detection from autonomous-flight video: 97.7% specificity and 91.9% sensitivity
- Ultrasonic beacon positioning used as a GPS substitute in GPS-poor areas
局限
- Abstract only reviewed
- Beacons must be installed around the target, which limits use on large or inaccessible structures
- Validated on concrete cracks only
同时权衡效率、可达性与可持续性，也是物流指南这张论文卡片的思路Drones in last-mile delivery。