Research On Key Technologies Of Video Image Stitching For Intelligent Vehicles

Since the reform and opening up,the living standards of the people have continued to improve and living conditions have become better and better.The ownership rate of automobiles has increased significantly,and automobiles have become an important means of transportation.However,with the continuous increase in the number of cars in China,the number of car accidents has also increased significantly.Most accidents occur because of blind spots in the field of vision.In this paper,video image stitching technology is applied to smart cars to enable drivers to obtain a greater field of vision and increase the safety of car driving.Because video is composed of a series of continuous images,video image stitching technology can draw on the principle of image stitching technology.The most important part of the image stitching process is image registration and image fusion.In terms of image registration,the most widely used feature-based image registration algorithms are studied,and three classic image registration algorithms are studied,namely SIFT algorithm,SURF algorithm,and ORB algorithm.Aiming at the shortcomings of the SIFT algorithm,which is complicated and takes a long time,a regional feature registration algorithm is proposed to speed up the operation efficiency of the SIFT algorithm.In image fusion,the traditional image fusion algorithm is studied.To address the shortcomings of traditional algorithms,such as poor tolerance for parallax.A gridded image fusion algorithm is proposed.This algorithm optimizes the division of the grid and uses an optimized grid division method,which reduces the calculation amount of the algorithm and increases the speed of the algorithm.This article describes the process of stitching video images of smart cars,and compares the gap between the normal image and the stitched image field of view.Using smart car video image stitching technology can effectively help drivers.