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Semantic Scholar · Article (International Conference on Unmanned Aircraft Systems)
Ground impact probability distribution for small unmanned aircraft in ballistic descent
Attribution
This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and International Conference on Unmanned Aircraft Systems.
Abstract
Verbatim from Semantic Scholar. Not paraphrased, not summarized.
Safety is a key factor in all aviation, and while years of development has made manned aviation relatively safe, the same has yet to happen for unmanned aircraft. However, the rapid development of unmanned aircraft technology means that the range of commercial and scientific applications is growing equally rapid. At the same time the trend in national and international regulations for unmanned aircraft is to take a risk-based approach, effectively requiring risk assessment for every flight operation. This work addresses the growing need for methods for quantitatively evaluating individual flights by modelling the consequences of a ballistic descent of an unmanned aircraft as a result of a major in-flight incident. The presented model is a probability density function for the ground impact area based on a second order drag model with probabilistic assumptions on the least well-known parameters of the flight, and includes the effect of wind. The model has low computational complexity and is well-suited for high fidelity simulations for longer flights over populated areas and with changing trajectory parameters.
Author
- A. L. Cour-Harbo
Keywords
- Mathematics
- Computer Science
- Engineering
- Physics
Citation: A. L. Cour-Harbo (2019). Ground impact probability distribution for small unmanned aircraft in ballistic descent. International Conference on Unmanned Aircraft Systems. Semantic Scholar ID b61633cca4dc988e085e2d74e5c39d4f76cfc824. https://doi.org/10.1109/ICUAS48674.2020.9213990 ↗