Automatic generation of detailed flight plans from high-level mission descriptions

D. D. Ruscio, I. Malavolta, Patrizio Pelliccione, Massimo Tivoli
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引用次数: 27

Abstract

Drones are increasingly popular since they promise to simplify a myriad of everyday tasks. Currently vendors provide low-level APIs and basic primitives to program drones, making mission development a task-specific and error-prone activity. As a consequence, current approaches are affordable only for users that have a strong technical expertise. Then, it emerges the need for software engineering techniques supporting the definition, development, and realization of missions involving swarms of autonomous drones while guaranteeing the safety today's users expect. In this paper we consider mission specifications expressed through a domain-specific modeling language which can be effectively used by end-users with no technical expertise, e.g., firefighters and rescue workers. Our generation method automatically derives the lower level logic that each drone must perform to accomplish the specified mission, prevents collisions between drones and obstacles, and ensures the preservation of no-fly zones.
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从高级任务描述自动生成详细的飞行计划
无人机越来越受欢迎,因为它们有望简化无数的日常任务。目前供应商提供低级api和基本原语来编程无人机,使任务开发成为特定任务和容易出错的活动。因此,目前的方法只有具有强大技术专长的用户才能负担得起。然后,它出现了对软件工程技术的需求,支持涉及自主无人机群的任务的定义、开发和实现,同时保证当今用户期望的安全。在本文中,我们考虑通过特定于领域的建模语言来表达任务规范,这种语言可以被没有技术专长的最终用户(例如消防员和救援人员)有效地使用。我们的生成方法自动导出每个无人机必须执行的低层逻辑来完成指定的任务,防止无人机与障碍物之间的碰撞,并确保保留禁飞区。
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