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October 15, 2025DronesOpen Access

Correction: Liu et al. UAV Path Planning in Threat Environment: A*-APF Algorithm for Spatio-Temporal Grid Optimization. Drones 2025, 9, 661

Longhao Liu Le Ru Wenfei Wang Hailong Xi Rui Zhu Shiliang Li Zhenghao Zhang

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Key Points

The A*-APF algorithm optimizes UAV path planning in challenging environments, enhancing operational safety and efficiency.
Key findings highlight improved routing effectiveness in dynamic threat landscapes, suggesting higher reliability during missions.
This approach utilizes a spatio-temporal grid framework, allowing for real-time adjustments and tactical responses.
Integration of advanced algorithms may significantly enhance UAV deployment strategies in risk-prone situations.

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Implication

Correction addresses spatio-temporal grid optimization in UAV path planning under threat environments, indicating improvements.

Abstract

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Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68f10ecee6a12fd042899aab https://doi.org/10.3390/drones9100713

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