Tao Wu, Shitong Hou, Zhishen Wu, Wen Xiong, Jian Zhang, Xinxing Shao, Xiaoyuan He, Gang Wu
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引用次数: 0
Abstract
Underwater structural inspection is essential for ensuring the safety and longevity of bridges. To improve the efficiency and accuracy of these inspections, this paper presents a method for measuring the morphology of bridge piers through refraction correction and multi-camera calibration. Using an underwater visual inspection platform with appropriate lighting, the measurement equipment mitigates low visibility challenges. A coplanar camera refraction parameter calibration method based on encoded markers is proposed to reduce the effects of refraction, along with the development of a multi-refraction correction model. Additionally, a novel multi-camera extrinsic calibration method is introduced to stitch point clouds. A comparative analysis of the two extrinsic calibration methods, conducted both in air and underwater, has been performed to validate the accuracy and efficiency of the proposed approach. Finally, the circular cross-section shape of the underwater bridge pier was successfully measured, and the results of defect localization were effectively presented.
期刊介绍：
Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms.
Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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