Yan Xu , Yifeng Wang , Jianjun Yang , Tong Yu , Jian Zhang
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引用次数: 0
Abstract
Terrestrial Laser Scanning (TLS) captures precise geometric data for civil infrastructures on status monitoring and digital model creation. However, TLS data collection requires manually setting the scanning range, which limits automation and can lead to redundant background data. This paper introduces an image semantic-guided TLS scanning mode for completely automatic data acquisition. Leveraging a vision-language large model, the measured structure, initialised as a text prompt of structure type, is projected into an image semantic mask. Based on the camera-TLS calibration, the image semantic mask is mapped into a 3D region within the TLS. The resulting multi-segment angular scan ranges are programmed into the TLS to conduct the scan. The effectiveness of text-driven image semantic segmentation is validated in common civil scenarios, including buildings, bridges, dams, and construction sites. The proposed automatic scanning mode is also tested at two construction sites, specifically targeting bridge's precast pier and a tower crane.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.