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DOI: 10.14569/IJACSA.2025.0161006
PDF

Pedestrian Navigation System with 3D Map and Charging Server Based on Steganography

Author 1: Kohei Arai

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 10, 2025.

  • Abstract and Keywords
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Abstract: A pedestrian navigation system with a steganography-based 3D map and billing server is proposed. The proposed system includes a server system that provides topographical maps and navigation information to both pedestrians and vehicles. When using the proposed system, necessary images of cross sections, intersections, or points of interest can be automatically obtained, similar to the Street View feature in Google Maps. Users can post photos taken with their camera phones and earn points if the photos are marked as posted. While the proposed system incurs a usage fee, these points can be used to reduce the subscription fee. If the quality of an image is superior to that of a previously archived image, the new image overwrites the previous one. The billing system for the system usage fee incorporates digital steganography for security reasons. This prevents the leakage of user information and other data. Through experiments, it is confirmed that the proposed system works well.

Keywords: Pedestrian navigation; steganography; client-server system; geographic information; system; GIS

Kohei Arai. “Pedestrian Navigation System with 3D Map and Charging Server Based on Steganography”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.10 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0161006

@article{Arai2025,
title = {Pedestrian Navigation System with 3D Map and Charging Server Based on Steganography},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0161006},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0161006},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {10},
author = {Kohei Arai}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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