Algorithm Research For Positioning Parameter Acquisition Based on Differential Image Matching

摘要

Obtaining the positioning parameters according to the image information not only can intuitively get the motion situation, it also provide supplement for other positioning systems. In this paper, the image matching algorithm combining SURF and RANSAC is used to solve the two problems of the positioning process by using differential image matching information with short time intervals: Firstly, the state inertia mode in image matching is adopted, and the positioning information is obtained from the correlation of the image information according to the continuity of the motion process. The second is to reduce the image search range in the weighted fusion algorithm and shorten the location information acquisition time. By simulation, the positioning parameter acquisition algorithm can obtain the motion direction information, eliminate the sudden change of the positioning direction, improve the positioning reliability, and have high positioning accuracy. It can be used as an auxiliary positioning for other positioning methods or positioning fusion models to improve overall positioning accuracy and reliability.