You are currently viewing Another new scientific paper published under the NATO-SPS project!

Another new scientific paper published under the NATO-SPS project!

A new article has been published in the international peer-reviewed journal Symmetry (MDPI):

📄 “Autonomous Vehicle Navigation Using an Integrated Symmetric Multi-Sensor Information Fusion Approach”

✍️ Authors: Razvan Bocu (Transilvania University of Brasov, Romania) and Maksim Iavich (Caucasus University, Tbilisi, Georgia)

🔍 This paper presents a comprehensive autonomous vehicle driving model designed to optimize traffic flow in crowded urban environments. Environmental data is collected through a multi-sensor information fusion approach, then encrypted and transmitted to a central backend via 4G/5G networks using a symmetric communication channel. The algorithmic model is built on an optimized deep neural network featuring advanced 3D object detection primitives. The system was experimentally validated using 200 prototype vehicles, achieving an impressive detection rate of 98.92%, demonstrating its strong potential for real-world autonomous driving applications.

🔗 Read the full article here: https://www.mdpi.com/2073-8994/18/11/1841

📝 Cite:

MDPI and ACS Style

Bocu, R.; Iavich, M. Autonomous Vehicle Navigation Using an Integrated Symmetric Multi-Sensor Information Fusion Approach. Symmetry 2026, 18, 1841. https://doi.org/10.3390/sym18111841

AMA Style

Bocu R, Iavich M. Autonomous Vehicle Navigation Using an Integrated Symmetric Multi-Sensor Information Fusion Approach. Symmetry. 2026; 18(11):1841. https://doi.org/10.3390/sym18111841

Chicago/Turabian Style

Bocu, Razvan, and Maksim Iavich. 2026. “Autonomous Vehicle Navigation Using an Integrated Symmetric Multi-Sensor Information Fusion Approach” Symmetry 18, no. 11: 1841. https://doi.org/10.3390/sym18111841

APA Style

Bocu, R., & Iavich, M. (2026). Autonomous Vehicle Navigation Using an Integrated Symmetric Multi-Sensor Information Fusion Approach. Symmetry, 18(11), 1841. https://doi.org/10.3390/sym18111841

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