Abstract
As an important part of transportation, bridges play an important role in the national economy. As the number of bridges continues to increase, their maintenance and repair tasks continue to increase. In order to solve the problem of limited application scenarios and high cost of existing bridge maintenance vehicles, this paper proposes a surface crack recognition and repair system for small and medium-sized bridges, which is low in efficiency and affects traffic. It uses survey UAVs to collect bridge surface defect information, uses image processing technology to identify cracks, and the maintenance vehicle automatically navigates to repair the bridge deck crack at the location of the crack.
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