Relative Positioning of Autonomous Ground Vehicles Combining Multi-GNSS (GPS-L1, GLONASS-G1 and BDS-B1) Observations

Authors

  • K. C. T. Swamy Department of Electronics and Communication Engineering, G. Pullaiah College of Engineering and Technology, Kurnool-518452, Andhra Pradesh, India
  • Yatagiri Telugu Rupa Sree Department of Electronics and Communication Engineering, G. Pullaiah College of Engineering and Technology, Kurnool-518452, Andhra Pradesh, India
  • P. Penchalaiah Professor, Department of CSE, Narayana Engineering College Nellore, Nellore, A.P., India-524 004.
  • Suresh Babu Jugunta Professor, Dept of Computer Applications, School of Computing, Mohan Babu University,Tirupathi.
  • Bhasha Pydala Assistant Professor,Dept. of Data Science, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College (Autonomous)) Tirupati, India - 517 102,
  • K. K. Baseer Professor of Data Science,School of Computing,Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),Tirupati, Andhra Pradesh, INDIA

Keywords:

Autonomous Ground Vehicles, GNSS, relative positioning

Abstract

To perform to their full capacity, Autonomous Ground Vehicles (AGV) require a powerful, dependable, and precise navigation system. Optical, inertial, signals-of-opportunity (SOPs), standalone and augmented Global Navigation Satellite System (GNSS), and other modern technologies are used to construct such a system. In fact, the AGV navigation system heavily relies on the usage of GNSS. The key threats or errors of GNSS codHane and carrier phase observations include clock error, orbit error, ionospheric delay, and tropospheric delay. By minimising the errors and employing a relative positioning approach, an AGV may be positioned precisely. When using carrier phase observations, relative location precision up to the cm level is possible. The accuracy of relative position using GPS-L1, GLONASS-G1, BDS-B1, and GPS/BDS/GLONASS integrated system signals for AGV applications is therefore examined in this study work. A software-based framework is also developed to analyse the data and produce relative positioning results.

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Published

27.10.2023

How to Cite

Swamy, K. C. T. ., Rupa Sree, Y. T. ., Penchalaiah, P. ., Jugunta, S. B. ., Pydala, B. ., & Baseer, K. K. . (2023). Relative Positioning of Autonomous Ground Vehicles Combining Multi-GNSS (GPS-L1, GLONASS-G1 and BDS-B1) Observations. International Journal of Intelligent Systems and Applications in Engineering, 12(2s), 591–599. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3679

Issue

Vol. 12 No. 2s (2024)

Section

Research Article

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