| Issue |
E3S Web Conf.
Volume 664, 2025
4th International Seminar of Science and Applied Technology: “Green Technology and AI-Driven Innovations in Sustainability Development and Environmental Conservation” (ISSAT 2025)
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|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 7 | |
| Section | Artificial Intelligence and Human-Computer Interaction | |
| DOI | https://doi.org/10.1051/e3sconf/202566401007 | |
| Published online | 20 November 2025 | |
Fuzzy logic-based identification of arrival direction using detected area coverage
Department of Electrical Engineering, Politeknik Negeri Bandung, 40559 Kab. Bandung Barat, Indonesia
* Corresponding author: rahmawati@polban.ac.id
Direction of Arrival (DoA) identification is critical for intelligent navigation systems, particularly in dynamic environments involving visually impaired individuals. This study presents a fuzzy logic-based method for determining the direction of an object’s arrival (left, center, or right) using input data based on the detected area coverage. The sensing area is segmented into three zones, each categorised linguistically as either “small” or “big.” These inputs are processed through a fuzzy inference system with a predefined rule base, and the resulting output is obtained through defuzzification. Real-time testing with 20 object placements showed that the system achieved an average accuracy of 80%.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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