Stereo Camera Calibration Based on Multiple Fitness Full-Parameter Autonomous Mutation Particle Swarm

Authors

Guiyang Zhang, 1. Control and Simulation Center,Harbin Institute of Technology,Harbin 150001,China; ;
Muyao Xue, 2. Space Propulsion Technology Research Institute,Shanghai Academy of Spaceflight Technology,Shanghai 201109,China;
Zijian Zhu, 1. Control and Simulation Center,Harbin Institute of Technology,Harbin 150001,China; ;
Huo Ju, 1. Control and Simulation Center,Harbin Institute of Technology,Harbin 150001,China; ;

Abstract

Abstract: The acquisition of target parameters based on visual measurement provides reliable data support for performance analysis and evaluation of simulation system.The precision of measurement results is determined by the accuracy of camera calibration.A calibration method based on full parameter autonomous mutation particle swarm optimization is proposed.Traditional calibration method is utilized to obtain the initial internal parameters.The fast and global calibration algorithm based on particle swarm optimization is achieved by inertial coefficient contraction adjustment,global factor learning adjustment strategy based on particle distance,multi-adaptation function and the independent variation law.The experimental results show that the proposed method can improve the calibration accuracy to a certain extent and can be used in practical engineering.

Recommended Citation

Zhang, Guiyang; Xue, Muyao; Zhu, Zijian; and Ju, Huo (2020) "Stereo Camera Calibration Based on Multiple Fitness Full-Parameter Autonomous Mutation Particle Swarm," Journal of System Simulation: Vol. 32: Iss. 12, Article 18.
DOI: 10.16182/j.issn1004731x.joss.20-FZ0469
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss12/18

First Page

2461

Revised Date

2020-07-10

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-FZ0469

Last Page

2468

CLC

TP391.9

Recommended Citation

Zhang Guiyang, Xue Muyao, Zhu Zijian, Huo Ju. Stereo Camera Calibration Based on Multiple Fitness Full-Parameter Autonomous Mutation Particle Swarm[J]. Journal of System Simulation, 2020, 32(12): 2461-2468.

Corresponding Author

Huo Ju,

DOI

10.16182/j.issn1004731x.joss.20-FZ0469