Japan Society of Civil Engineers 2020 Annual Meeting

Presentation information

第VI部門

山岳トンネル(11)

Chair:Hitoshi Tezuka

[VI-678] Detecting Rock Falls on Tunnel Face using RGB-D camera

〇Rei Kobayashi1, Masaya Miura2, Jun Mitsuo2, Yue Bao1 (1.TOKYO CITY UNIVERSITY, 2.TOKYU CONSTRUCTION )

Keywords:Mountain tunnel, Tunnel Face monitoring, rock fall , RGB-D camera, Depth image, RGB image

In mountain tunnel construction, accidents due to the rockfall have occurred. To prevent them, it is necessary to constantly monitor the tunnel face for signs of the rockfall. In this study, we have proposed the rockfall-detection method that combines generating the mask image of only the tunnel face using Depth image and detecting the moving object by inter-frame difference method using RGB image. From the results of experiments using an RGB-D camera at an actual worksite. It was confirmed that rockfall and excavated soil mass could be detected breaker excavation and trimming work.

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