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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 2, 2025.
Abstract: Autonomous ground vehicles play a crucial role in the Internet of Things, offering transformative potential for applications such as urban transportation and delivery services. These vehicles can operate autonomously in uncertain environments, making reliable testing essential. This study develops and analyzes a testing framework for autonomous ground vehicles, focusing on their motion control systems and electronic modules. The research reviews testing methods for printed circuit boards (PCBs), highlighting the need for JTAG testing implementation for vehicle modules. Functional testing was conducted on key components such as cameras, LiDARs, and wireless interfaces under various conditions. Results show that JTAG testing successfully detects faults with precise localization, while functional tests confirm stable component performance. Environmental tests revealed that most components perform reliably within optimal conditions, with failures occurring at temperatures beyond ±70°C and humidity levels exceeding 90% RH. The developed testing system enhances the reliability of autonomous delivery vehicles.
Murat Tashkyn, Amanzhol Temirbolat, Nurlybek Kenes and Amandyk Kartbayev, “Developing an IoT Testing Framework for Autonomous Ground Vehicles” International Journal of Advanced Computer Science and Applications(IJACSA), 16(2), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160290
@article{Tashkyn2025,
title = {Developing an IoT Testing Framework for Autonomous Ground Vehicles},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160290},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160290},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {2},
author = {Murat Tashkyn and Amanzhol Temirbolat and Nurlybek Kenes and Amandyk Kartbayev}
}
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.