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ABOUT - Evaluation methods for automated BIM-capable object detection in tunnel constructions <<

Akronym ABOUT
Funding BMWi
Supporting Organisation AiF
HFT project director Prof. Dr.-Ing. Gerrit  Austen , Prof. Dr.-Ing.  Michael Hahn
Project partners Viscan Solutions GmbH
Duration 06.05.2019 - 30.04.2021
Project description Within the framework of the project, a measurement and evaluation method is to be developed with which the surface of a tunnel can be digitized so precisely that deformation monitoring can be carried out by surface and depth testing. In addition, all equipment features (e.g. signage, markings, lane signals, lighting equipment, hydrants, loudspeakers, etc.) will be automatically detected using deep learning methods. The aim is to achieve an accuracy of the position and depth measurement of approx. 1 mm at a speed of up to 65 km/h. For the development of the planned method, solutions from photogrammetry, videogrammetry and deep learning will be used. Through the intelligent combination of overlapping images, 3D point clouds can be generated and automatically evaluated. Viscan as a specialist in the field of photogrammetry and HFT Stuttgart as a specialist in the field of neural networks work together cooperatively during the development.
Keywords tunnel monitoring, mobile mapping system (MMS), deep learning, building information modeling (BIM)