Research on detection method of pavement diseases based on Unmanned Aerial Vehicle (UAV)

In order to improve the accuracy of road surface disease detection, the development technology of unmanned aerial vehicle (UAV) in the intelligent transportation field are analyzed. Firstly, the framework of pavement disease recognition and perception system based on UAV is constructed; Secondly, the pavement image data collection experiment is carried out with Yuneec H520 UAV, and the pavement disease image preprocessing technology based on wavelet threshold transform is analyzed; Thirdly, the pavement disease image preprocessing technology based on the DPM is studied, and the recognition method of pavement disease based on VGG-16 neural net-work model is proposed. Theoretical analysis and experimental results show that the method of pavement disease identification based on VGG-16 neural network model has high classification accuracy, and its classification accuracy is better than 90％.