METHOD OF MOVING OBJECT POSITIONING WITHOUT USING GLOBAL GEO-REFERENCED DATA

Abstract

The paper considers the problem of determining the current coordinates of moving object in the conditions of unstable signal from the global navigation satellite system (GNSS). The relevance of the work is due to the fact that in recent years moving object are increasingly used in virtually all sectors of industry, agriculture, transportation, solving a variety of tasks of surveillance, reconnaissance, monitoring the state of controlled objects, search and rescue operations, cargo delivery and much more. At the same time, the success of flight missions largely depends on how accurately and efficiently its onboard navigation system works in real time. The existing solutions for creating onboard positioning systems involve the use of inertial and GNSS. However, they have the disadvantage of partial or complete absence of data from the GNSS (Global Positioning System). This paper describes a method for maintaining a given accuracy of moving object spatial positioning under conditions of partial or complete absence of data from the object's GSP. This approach is based on a combination of computer vision methods for processing video stream frames from the moving object on-board vision system (OVS) in order to ensure positioning accuracy under conditions of partial or complete absence of data from satellite navigation systems. Based on the advanced method, an algorithm has been developed for automated determination of moving object coordinates in the absence of georeferencing data from global positioning systems (GPS). Experiments have been carried out, which demonstrated the reduction of time costs for description and matching of key points and improvement of the accuracy of image matching. The developed algorithm was used to solve the problem of satellite image matching, which is an important step in the moving object positioning problem without the use of global geo-referencing data.