Application of matching optical flow method in obstacle avoidance of mobile
Zhikun Chen, Shen Li · Journal of Discrete Mathematical Sciences and Cryptography · 2018
Optical flow method is an important method to study the obstacle avoidance of mobile robot. Optical flow calculation is the core problem of robot obstacle recognition, which can be used to realize the obstacle avoidance by using the balance strategy after calculating the optical flow. In this paper, a point matching method based on optimal estimation is used. It is based on a certain similarity between the two points of the optimal estimation of the characteristics, so as to find out the characteristics of the points and calculate the optical flow method. This method has a good performance in the research of moving target detection. In this paper, we apply it to the research of obstacle avoidance, which can improve the speed of optical flow calculation and make the obstacle avoidance process faster.