Image tracking is a research field in constant evolution due to the new technological advances. The limited-space and low-cost features of missiles restrict the application and development of image tracking. Missile-borne image guidance system is still facing a series of difficult issues of anti-interference. This paper constructs a practical image tracking model using Kalman Filter based on fusion of MEMS-IMU Data and Vision Data after deriving the transformation matrix between the image sequences and MEMS-IMU data. The tracking model is tested by experiments. The result shows tracking based on fusion of MEMS-IMU Data and Vision Data is an effective solution of rotating scene and tracking accuracy is about 4 times better than vision only. The achievements can be not only used in military field such as Precision Guided Weapons and Photoelectric Reconnaissance Device, but also broadly applied in commercial products such as Virtual Reality, Intelligent Robot, Unmanned Airborne Vehicle and so on.
In this paper, the research on the dual-station direction finding and cross positioning technology of photoelectric imaging equipment based on high-precision Beidou is carried out. The northeast sky coordinate system is the positioning coordinate system. Calculate according to the location information of the site and the azimuth and elevation angles of the base station and the target, so as to obtain the location information of the target. At the same time, the relationship between the positioning error and the positioning accuracy of the base station, the angle measurement accuracy of the optoelectronic equipment, and the deployment of the actual engineering application are analyzed by simulation experiments. In this paper, the validity and practicability of the method are verified by conducting field tests on the basis of establishing mathematical model analysis.
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