Moving Target Velocity Measurement Method Based on Multi-view Observation Optimization of UAV Image

Authors

Yuxin Wu, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410003, China; National Laboratory on Automatic Target Recognition, National University of Defense Technology, Changsha 410003, China
Zhilong Zhang, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410003, China; National Laboratory on Automatic Target Recognition, National University of Defense Technology, Changsha 410003, China
Aoxu Liu, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410003, China
Jiangwei Zou, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410003, China
Chuwei LI, College of Electronic Science and Technology, National University of Defense Technology, Changsha 410003, China; National Laboratory on Automatic Target Recognition, National University of Defense Technology, Changsha 410003, China

Abstract

Abstract: Measuring the position and velocity of moving targets is an important requirement for drone video analysis. In this paper, a moving target localization and velocity estimation algorithm based on least square optimization of UAV multi-view observation images is proposed: the video and corresponding pose parameters obtained by the airborne optoelectronic system are used to establish a line-of-sight model at multiple observation times, it is unified to the WGS-84 coordinate system by coordinate transformation, the position and velocity of the moving target are estimated based on the least squares algorithm. This algorithm does not require laser ranging information between the UAV and the target, nor does it require terrain elevation information, making it a highly covert passive positioning and velocity measurement algorithm. In order to investigate the accuracy and application conditions of this algorithm, this article simulates three scenarios of UAV speed measurement in the experimental part, considers various error sources in the actual measurement process, and conducts simulation experiments using Monte Carlo simulation method. The results show that the algorithm can quickly and accurately estimate the position and velocity of the target, with a positioning accuracy of 1.5 m and a velocity measurement accuracy of 0.2 m/s in typical application scenarios, which meets the accuracy and reliability requirements of intelligence analysis.

Recommended Citation

Wu, Yuxin; Zhang, Zhilong; Liu, Aoxu; Zou, Jiangwei; and LI, Chuwei (2025) "Moving Target Velocity Measurement Method Based on Multi-view Observation Optimization of UAV Image," Journal of System Simulation: Vol. 37: Iss. 1, Article 4.
DOI: 10.16182/j.issn1004731x.joss.24-0920
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss1/4

First Page

40

Last Page

53

CLC

TP391.9

Recommended Citation

Wu Yuxin, Zhang Zhilong, Liu Aoxu, et al. Moving Target Velocity Measurement Method Based on Multi-view Observation Optimization of UAV Image[J]. Journal of System Simulation, 2025, 37(1): 40-53.

Corresponding Author

Zhang Zhilong

DOI

10.16182/j.issn1004731x.joss.24-0920