论文标题
开发用于SUAS操作的模块化自主功能
Developing Modular Autonomous Capabilities for sUAS Operations
论文作者
论文摘要
该领域的小型团队可以从小型未经空中系统(SUA)提供的功能中受益,例如侦察,敌对归因,远程迁移以及搜索和救援。 SUA的移动性,沟通和灵活的有效载荷能力可以为团队提供新水平的情境意识,并使超过以前的高度协调任务。但是,试行此类飞机进行特定任务会使人员脱离其他关键任务,增加了其余人员的负担,同时也增加了运营的复杂性。为了更广泛的采用和使用SUA进行安全和人道主义任务,必须采用安全,强大的自主权来减轻小型团队的这一负担。在本文中,我们介绍了用于敌对归因,监视,扩建和侦察(Chaser)测试床的协作 - UAS的开发,以迅速进行原型制作能力,从而通过传感器引导的自主控制来减少小团队的压力。我们试图通过创建和测试一系列可配置以支持多个任务的合并模块来解决商业SUA平台未满足的自主需求。此处实施和介绍的方法包括雷达轨道相关,板载计算机视觉目标检测,目标位置估计,闭环相对位置控制以及对目标获取的3D体积有效搜索。我们在示例任务中配置和测试了一系列这些模块,执行了实时飞行中入侵的SUA的完全自主追逐,并展示了模块化自治方法的成功。我们提供了每个模块的模拟或实时飞行测试的性能结果。最后,我们描述了我们为灵活控制措施开发的软件体系结构,并评论了提供的功能如何实现其他任务。
Small teams in the field can benefit from the capabilities provided by small Uncrewed Aerial Systems (sUAS) for missions such as reconnaissance, hostile attribution, remote emplacement, and search and rescue. The mobility, communications, and flexible payload capacity of sUAS can offer teams new levels of situational awareness and enable more highly coordinated missions than previously possible. However, piloting such aircraft for specific missions draws personnel away from other mission-critical tasks, increasing the load on remaining personnel while also increasing complexity of operations. For wider adoption and use of sUAS for security and humanitarian missions, safe and robust autonomy must be employed to reduce this burden on small teams. In this paper, we present the development of the Collaborative-UAS for Hostile Attribution, Surveillance, Emplacement, and Reconnaissance (CHASER) testbed, for rapidly prototyping capabilities that will reduce strain on small teams through sensor-guided autonomous control. We attempt to address autonomy needs unfilled by commercial sUAS platforms by creating and testing a series of composable modules that can be configured to support multiple missions. Methods implemented and presented here include radar track correlation, on-board computer vision target detection, target position estimation, closed-loop relative position control, and efficient search of a 3D volume for target acquisition. We configure and test a series of these modules in an example mission, executing a fully autonomous chase of an intruding sUAS in live flight, and demonstrating the success of the modularized autonomy approach. We present performance results from simulation or live flight tests for each module. Lastly, we describe the software architecture that we have developed for flexible controls and comment on how the capabilities presented may enable additional missions.