A Highly Robust Measurement Method for Cable Force Identification Based on Eliminating Camera Motion

When testing cable forces on outdoor physical bridges based on vision‐based techniques, the camera experiences irregular motion due to bridge vibrations and natural environmental interference. To address this issue, this study proposes a testing method that eliminates camera shake and poorer tracking resolution by combining reference points and moving average filtering. This work contributes the following innovations: first, an indoor static shooting experiment was conducted to quantitatively assess the testing errors of the measurement system used in this study. Next, an indoor shaking table experiment was carried out to quantify the error data resulting from different degrees of camera shake and to preliminarily verify the filtering effect. Finally, this method was applied to the cable force testing of a large outdoor cable‐stayed bridge. Compared with the acceleration sensor results, the maximum difference in frequency was 2.23%, and in cable tension was 4.41%, demonstrating the high robustness and effectiveness of the proposed method.