An all-terrain scooter remote intelligent control system based on image analysis

Abstract

The application discloses a kind of all-terrain scooter remote intelligent control systems based on image analysis, it is related to scooter control system technical field, and the image data of surrounding environment is obtained by camera, and image data is preprocessed, then feature extraction is carried out to obtain target contour map, and the edge contour point is obtained along the contour edge of target contour map, establishes normal environment simulation model, calculates scooter speed influence factor and scooter deflection angle influence factor, obtains the interval between each contour point and scooter midpoint and edge deflection angle, calculates scooter safety speed interval and safety deflection angle interval, and the target speed and target angle of scooter are calculated, the target speed is simulated and trained in real time by deep learning, and the scooter is adjusted to target speed in real time.The application can realize real-time obstacle avoidance of scooter, improve the sensitivity and working efficiency of scooter, also increase the safety experience of user in use process, avoid energy loss.

Images