Risk management is a well-known method to face technological challenges through a win–win combination of protective and proactive approaches, fostering the collaboration of operators, researchers, regulators, and industries for the exploitation of new markets. In the field of autonomous and unmanned aerial systems, or UAS, a considerable amount of work has been devoted to risk analysis, the generation of ground risk maps, and ground risk assessment by estimating the fatality rate. The paper aims to expand this approach with a tool for managing data protection risks raised by drones through the design of flight maps. The tool should allow UAS operators choosing the best air corridor for their drones based on the so-called privacy by design principle pursuant to Article 25 of the EU data protection regulation, the GDPR. Among the manifold applications of this approach, the design of fly zones for drones can be tailored for public authorities in the phase of authorization of new operations, much as for national Data Protection authorities that have to control the lawfulness of personal data processing by UAS operations. The overall aim is to present the first win–win approach to data protection issues, aerospace engineering challenges, and risk management methods for the threats posed by this technology.

中文翻译：

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通过飞行操作地图设计符合 GDPR 的无人机：数据保护、航空航天工程和风险管理的双赢方法

风险管理是一种众所周知的方法，通过保护性和主动性方法的双赢组合来应对技术挑战，促进运营商、研究人员、监管机构和行业的合作以开发新市场。在自主和无人机系统（UAS）领域，大量工作致力于风险分析、地面风险地图的生成以及通过估计死亡率进行地面风险评估。该论文旨在通过设计飞行地图来管理无人机带来的数据保护风险的工具来扩展这种方法。该工具应允许 UAS 运营商根据欧盟数据保护法规 GDPR 第 25 条的所谓隐私设计原则为他们的无人机选择最佳空中走廊。在这种方法的多种应用中，无人机飞行区的设计可以在新操作授权阶段为公共当局量身定制，就像国家数据保护当局必须控制无人机操作处理个人数据的合法性一样. 总体目标是针对数据保护问题、航空航天工程挑战以及针对该技术构成的威胁的风险管理方法提出第一种双赢方法。