Research on urban low-altitude UAV conflict detection method based on matrix Hadamard product calculation

Zhichong Zhou; Guhao Zhao; Zhifang Chen; Jiale Yang; Lingzhong Meng

doi:10.1117/12.3054491

20 December 2024 Research on urban low-altitude UAV conflict detection method based on matrix Hadamard product calculation

Zhichong Zhou, Guhao Zhao, Zhifang Chen, Jiale Yang, Lingzhong Meng

Author Affiliations +

Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134212A (2024) https://doi.org/10.1117/12.3054491
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China

Abstract

With the further opening of the national low-altitude airspace, Unmanned Aerial Vehicles (UAVs) will be used in large numbers and at high density in urban low-altitude airspaces. Currently, there is a lack of accurate and efficient methods for high-density UAV conflict detection. To address this issue, this paper constructs a UAV protection zone model and a battlefield airspace grid model to extract the airspace position matrix of each UAV. By employing the Hadamard product calculation method for matrices and the properties of composite and prime factorization, the method detects UAV conflicts, identifying the UAV numbers, positions, altitudes, and other information of conflicts, enabling real-time and rapid detection of conflicts among a large number of UAVs in the airspace. The results show that compared with traditional methods, this method can detect all conflicts with a single mathematical calculation when the number of UAVs is large, with the conflict detection time for 300 UAVs controlled within 1ms, significantly improving the efficiency of conflict detection.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhichong Zhou, Guhao Zhao, Zhifang Chen, Jiale Yang, and Lingzhong Meng "Research on urban low-altitude UAV conflict detection method based on matrix Hadamard product calculation", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134212A (20 December 2024); https://doi.org/10.1117/12.3054491

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KEYWORDS

Unmanned aerial vehicles

Matrices

Computer simulations

Detection and tracking algorithms

Safety

Spherical lenses

Monte Carlo methods

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