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:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8
FEATURE PEER-REVIEWED ARTICLE
Vol.16(2) (2025) |
Perspectives on AI-assisted GPS/GNSS Research: Trends, Challenges, and Opportunities
Bhattraradej Boonsap Witchayangkoon (Department of Civil Engineering, Thammasat School of Engineering, Thammasat University, Rangsit, Pathumtani, THAILAND),
Thongchai Phothong (Department of Civil Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, THAILAND),
Koltouch Anantakarn, Kritsada Anantakarn (Faculty of Engineering and Architecture, Rajamangala University of Technology Tawan-ok, Uthenthawai Campus, Bangkok, THAILAND), and
Puttipol Dumrongchai (Department of Civil Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, THAILAND).
Discipline: GPS Engineering, Spatial Technology, AI Application.
Keywords: GNSS; GPS; multipath; Machine Learning (ML); AI error correction; PPP; Deep Learning (DL); 6G; RNN; LSTM; GNSS/GPS; GPS Engineering; RTK; Spoofing; Integration of multiple sensors; Signal prediction, Navigation sensor fusion.
AbstractArtificial Intelligence (AI) is playing a more important role in improving Global Positioning System (GPS)/Global Navigation Satellite System (GNSS) technology. Regular GPS/GNSS has issues like signal blockage, noise interference (e.g., multipath), and being easily tricked, especially in cities or inside buildings. Using machine learning, deep learning and various tools, AI offers powerful resources to comprehend, resolve, and predict the functioning of GPS in complicated scenarios. This discussion provides a comprehensive overview of AI-enhanced GPS research, covering topics such as signal prediction, spoofing detection, sensor fusion, and trajectory forecasting. With the domain of Recurrent Neural Networks (RNNs), LSTM (Long Short-Term Memory) networks can aid trajectory prediction of satellites and receivers with high accuracy. Furthermore, this paper highlights the challenges and future research avenues in the application of AI to geolocation systems.Paper ID: 16A2A
Cite this article:
Witchayangkoon, B.B., Phothong, T., Anantakarn, K., Anantakarn, K., Dumrongchai, P. (2025). Perspectives on AI-assisted GPS/GNSS Research: Trends, Challenges, and Opportunities. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 16(2), 16A2A, 1-8. http://doi.org/10.14456/ITJEMAST.2025.8
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Other issues:
Vol.15(4)(2024)
Vol.15(3)(2024)
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