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Motivated by the pursuit of safe, reliable, and weather-tolerant urban air mobility (UAM) solutions, this work proposes a generative modeling approach for characterizing microweather wind velocities.
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R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, “High-resolution image synthesis with latent diffusion models,” in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , 2022, pp. 10 684–10 695
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J. González-Rocha, S. F. J. De Wekker, S. D. Ross, and C. A. Woolsey, “Wind profiling in the lower atmosphere from wind-induced perturbations to multirotor UAS,” Sensors , vol. 20, no. 5, 2020. [Online]. Available: https://www.mdpi.com/1424-8220/20/5/1341
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D. S. Nithya, G. Quaranta, V. Muscarello, and M. Liang, “Review of wind flow modelling in urban environments to support the development of urban air mobility,” Drones , vol. 8, no. 4, 2024. [Online]. Available: https://www.mdpi.com/2504-446X/8/4/147
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