Construction Site Multi-Category Target Detection System Based on UAV Low-Altitude Remote Sensing

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9
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12

초록

On-site management of construction sites has always been a significant problem faced by the construction industry. With the development of UAVs, their use to monitor construction safety and progress will make construction more intelligent. This paper proposes a multi-category target detection system based on UAV low-altitude remote sensing, aiming to solve the problems of relying on fixed-position cameras and a single category of established detection targets when mainstream target detection algorithms are applied to construction supervision. The experimental results show that the proposed method can accurately and efficiently detect 15 types of construction site targets. In terms of performance, the proposed method achieves the highest accuracy in each category compared to other networks, with a mean average precision (mAP) of 82.48%. Additionally, by applying it to the actual construction site, the proposed system is confirmed to have comprehensive detection capability and robustness.

키워드

object detection; attention mechanism; remote sensing; UAV inspection system; CRANE PRODUCTIVITY; EQUIPMENT; SAFETY; WORKERS; IDENTIFICATION; NETWORKS
제목
Construction Site Multi-Category Target Detection System Based on UAV Low-Altitude Remote Sensing
저자
Liang, Han; Cho, Jongyoung; Seo, Suyoung
DOI
10.3390/rs15061560
발행일
2023-03
유형
Article
저널명
Remote Sensing
권
15
호
6