ISSN 2353-6977 (Online)
In the paper, the authors present the analysis of implementation of IoT system for road quality analysis. The proposed system was prepared for edge processing, on device. It allows to reduce the amount of data sent to cloud computing aggregation subsystem, sending only 2.5% of the original data. Several algorithms for road quality analysis were implemented on a real device and tested under real conditions. The system was compared with the state-of-the-art offline processing approach and showed the same accuracy on a set of known road artefacts, while detecting 92% of the artefacts recognized by the original cloud computing processing system.
- APA 7th style
Badurowicz, M., & Łagowski S. (2023). Usage of IoT edge approach for road quality analysis. Applied Computer Science, 19(1), 15-24. https://doi.org/10.35784/acs-2023-02
- Chicago style
Badurowicz, Marcin, and Sebastian Łagowski. "Usage of IoT edge approach for road quality analysis." Applied Computer Science 19, no. 1 (2023): 15-24.
- IEEE style
M. Badurowicz and S. Łagowski, "Usage of IoT edge approach for road quality analysis," Applied Computer Science, vol. 19, no. 1, pp.15-24, 2023, doi: 10.35784/acs-2023-02.
- Vancouver style
Badurowicz M, Łagowski S. Usage of IoT edge approach for road quality analysis. Applied Computer Science. 2023;19(1):15-24.
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