Abstract
As the field of robotics has become more and more widely used in medical, dock, rescue and other fields, positioning technology has become a hot field of robotics research. Among them, visual positioning technology has the advantages of low cost and good reliability, but the robustness of visual positioning is poor. Data jumps and other shortcomings, this paper designs a vision-based multi-frame cooperative logo accurate pose estimation method, this method can improve the measurement accuracy in the process of visual positioning, and provide nearby data in the case of complex jumps The measurement value with the smallest jump in the frame has been verified by experiments in this paper. This algorithm has good stability and data smoothness, and has important research value in the field of robot navigation and positioning.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ou, H.: Research on QR code recognition algorithm and its application in new access control system. Zhejiang University (2018)
Tian, H.: QR code research and its application in robot self-localization. Northeastern University (2014)
Zhao, Y.: Ceiling visual synchronization positioning and drawing based on two-dimensional code. Harbin Institute of Technology (2016)
Shang, M.: Research and realization of unmanned car indoor positioning algorithm based on QR code and corner tag. Southwest Jiaotong University (2017)
Li, T., He, Y.: Application of least squares method in Zhang Zhengyou’s calibration method. Inf. Comput. Theory Ed. 23, 99–106 (2015)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Guo, J., Dai, Z., Pan, W. (2022). Accurate Pose Estimation Based on Multi-frame Cooperative Identification. In: Wu, M., Niu, Y., Gu, M., Cheng, J. (eds) Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021). ICAUS 2021. Lecture Notes in Electrical Engineering, vol 861. Springer, Singapore. https://doi.org/10.1007/978-981-16-9492-9_50
Download citation
DOI: https://doi.org/10.1007/978-981-16-9492-9_50
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-9491-2
Online ISBN: 978-981-16-9492-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)