Abstract
Aimed at improving the low measurement accuracy of the binocular vision sensor along the optical axis in the process of target tracking, we proposed a method for auxiliary correction using a laser-ranging sensor in this paper. In the process of system measurement, limited to the mechanical performance of the two-dimensional turntable, the measurement value of a laser-ranging sensor is lagged. In this paper, the lag information is updated directly to solve the time delay. Moreover, in order to give full play to the advantages of binocular vision sensors and laser-ranging sensors in target tracking, federated filtering is used to improve the information utilization and measurement accuracy and to solve the estimated correlation. The experimental results show that the real-time and measurement accuracy of the laser ranging-assisted binocular visual-tracking system is improved by the direct update algorithm and the federal filtering algorithm. The results of this paper are significant for binocular vision sensors and laser-ranging sensors in engineering applications involving target tracking systems.
Highlights
Visual measurement has many advantages, such as high accuracy and a non-contact nature
Through theoretical calculations and experimental verifications, the accuracy of binocular vision along the optical axis is improved in this paper
Regarding the system structure, we propose to alongThrough the optical axis is improved in this
Summary
Visual measurement has many advantages, such as high accuracy and a non-contact nature. J. Apolinar Muñoz Rodríguez [13] proposed a technique to perform microscope self-calibration via micro laser line and soft computing algorithms. For the fusion of vision and Lidar, Tomic T et al [20] used a multihead camera and point cloud registration to jointly estimate the motion state of the drone, and they used the map pyramid to improve the efficiency of the algorithm to achieve real-time performance. J. Apolinar Muñoz Rodríguez and Francisco Carlos Mejía Alanís [22] proposed an accurate technique to perform binocular self-calibration by means of an adaptive genetic algorithm based on a laser line. Apolinar Muñoz Rodríguez and Francisco Carlos Mejía Alanís [22] proposed an accurate technique to perform binocular self-calibration by means of an adaptive genetic algorithm based on a laser line In this calibration, the genetic algorithm computes the vision parameters through simulated binary crossover (SBX). Image processing such as camera calibration, distortion correction, etc. is not the research content of this article
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