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Using synthetic vision technology and automation to provide UAV operator support

机译:使用合成视觉技术和自动化技术来提供无人机操作员支持

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Unmanned Aerial Vehicle (UAV) mission management technologies such as human machine interfaces and automation have been identified as the key limiting factors to increasing mission effectiveness. This paper provides an overview of current limitations and issues in operating UAVs, addressing (1) difficulties in the manual control task and high landing mishap rates, (2) reliability and integrity of deployable autoland functions, (3) the difficulties of integrating unmanned aircraft in the existing airspace system and (4) limitations of existing hazard detection and resolution systems. After that, the potential opportunities provided by synthetic vision technology and automation are discussed. Based on these opportunities, several innovative display and control concepts have been developed, that aim to increase safety and efficiency in the identified problem areas. First, a concept for improved manual control performance is introduced, for those classes of UAVs for which autoland is not an option. Subsequently, the design and evaluation of a deployable autoland concept is presented, that allows involvement of a human operator for conformance and integrity monitoring. Next, a sense and avoid concept is proposed, that enables a seamless transition from human-in-the-loop self-separation to autonomous conflict avoidance in time-critical situations. Finally, a refinement and extension of the proposed sense and avoid concept is presented, that enables integrated, multi-dimensional conflict avoidance.
机译:无人驾驶飞机(UAV)任务管理技术(例如人机界面和自动化)已被确定为提高任务效率的关键限制因素。本文概述了目前无人机运行中的局限性和问题,解决了以下问题:(1)手动控制任务中的困难和高着陆事故率;(2)可部署自动着陆功能的可靠性和完整性;(3)集成无人飞机的困难(4)现有危害检测和解决系统的局限性。之后,讨论了合成视觉技术和自动化提供的潜在机会。基于这些机会,已经开发了几种创新的显示和控制概念,旨在提高已发现问题区域的安全性和效率。首先,针对不能选择自动着陆的那些无人机,引入了一种改进的手动控制性能的概念。随后,提出了可部署自动着陆概念的设计和评估,该概念允许操作人员参与一致性和完整性监控。接下来,提出了一种感知和避免的概念,该概念使得在时间紧迫的情况下,可以从在环中的人的自我分离无缝过渡到自动避免冲突。最后,提出并扩展了提出的“避免”概念,从而实现了集成的多维避免冲突。

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