This thesis put forward Intelligent-video Bridge-detection Vehicle (IVBDV), using video scout and image processing technology detect the bottom of bridge where is hard to reach by manual.
本文提出开发小型无载人智能视频桥梁检测车，配以视频跟踪和图像检测手段对人员不易到达的桥梁底部进行自动检测。
The performances of SX562 bridge test vehicle and its application to bridge load bearing detection are introduced.
简述了SX562型桥梁测试车的各种性能及其在桥梁承载力检测中的应用。
Meanwhile, the modal analysis is used to test the detection arm's natural frequency and structural vibration modes, which provides a reference for the stability test of the bridge inspection vehicle.
同时对检测臂进行了模态分析，测出了其固有频率和结构振型，为检测车工作时的稳定性要求提供了参考。
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