Autonomous UAV Navigation based on improved Convolutional Neural Network with tracking and detection of road cracks and potholes

摘要

A road crack detection autonomous flying drone detects the center line of the road from the image information captured by the image information collection unit that captures image information and the image information collection unit, and moves along the median while calculating the median value of the center line, but It is characterized in that it includes a control unit that detects the condition of the road based on the data set of the crack and transmits the road crack image to the server when the road crack is detected.