Three-dimensional Euler solutions for drone delivery trajectory prediction under extreme environments

Shiven Hu; Greg Mayer

doi:10.1117/12.2638778

17 May 2022 Three-dimensional Euler solutions for drone delivery trajectory prediction under extreme environments

Shiven Hu, Greg Mayer

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122594M (2022) https://doi.org/10.1117/12.2638778
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

Unmanned aerial vehicles, or drones, offer the advantages to reduce the cost and time of delivering. However, efficient routing, especially in extreme conditions, is a prominent issue for unmanned delivery with drones and little work has been done to solve the routing problems. In this paper, we are going to consider the problem of the trajectory of drones under extreme weather because drone delivery typically faces with unexpected events such as wind from different directions which can affect the trajectory of the drone. The Euler method is used to do the numerical analysis to predict the trajectory. Numerical results show that the difference between the accurate solution and the numerical values is acceptable.

Citation Download Citation

Shiven Hu and Greg Mayer "Three-dimensional Euler solutions for drone delivery trajectory prediction under extreme environments", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122594M (17 May 2022); https://doi.org/10.1117/12.2638778

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