选择(遗传算法)
计算机科学
排名(信息检索)
选址
跑道
贝叶斯网络
工作(物理)
贝叶斯概率
运筹学
机器学习
人工智能
工程类
机械工程
考古
政治学
法学
历史
作者
David Nospes,Peter Stütz
标识
DOI:10.1109/dasc58513.2023.10311169
摘要
In this paper we propose our approach to emergency landing site selection for an ultralight aircraft. We describe the emergency landing use case motivating our work and show related research. Thereafter we explain why we had chosen a hierarchical approach consisting of a simple high-level information based landing site preselection and emergency classification followed by a lower-level information based emergency runway ranking using Bayesian Networks. Furthermore, we explain the inputs used for the high- and low-level selection and the assumptions we make, as well as the structure of our Bayesian Networks. Finally, we discuss first results of our approach and give an overview of possible future improvements and future work.
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