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An Autonomous Unmanned Science Mission

机译:自主的无人科学任务

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摘要

In the summer and fall of 2017, researchers in the Autonomy Incubator (AI) at National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) developed and flew an autonomous science mission on-site under a Federal Aviation Administration (FAA) Certificate of Authorization (COA) to demonstrate the feasibility of an earth science data collection on a small Unmanned Aerial Vehicle (sUAV). This exemplar mission delivered an ozone sensor to a target location specified by the earth scientist for in-situ data collection en route and at the target location. Given only the target location, the autonomous UAV planned its route, updated its trajectory as needed per onboard object detection and avoidance, delivered the ozone sensor, and then returned to recover it by executing a precision landing within a few inches of the sensor for pickup. This mission was flown in a data-rich environment as well as in a data-deprived (no GPS) environment We present the Unmanned Aerial System (UAS) designed and flown to accomplish this mission along with science data results. This system includes the vehicle, payload, ground support equipment (GSE), and science data analysis. Future missions building on the success of the AI Exemplar Science Mission are in progress and will also be presented.
机译:在2017年夏季和秋季,美国国家航空航天局(NASA)兰利研究中心(LaRC)的自主孵化器(AI)的研究人员在联邦航空管理局(FAA)证书下开发并进行了自主科学飞行任务授权(COA)演示了在小型无人机(sUAV)上进行地球科学数据收集的可行性。该示例性任务将臭氧传感器传送到地球科学家指定的目标位置,以便在途中和目标位置进行现场数据收集。仅给出目标位置,自主无人机计划其路线,根据机载物体检测和躲避情况,根据需要更新其轨迹,交付臭氧传感器,然后返回以通过在传感器几英寸内进行精确着陆以进行拾取来恢复其状态。该任务是在数据丰富的环境以及数据匮乏(无GPS)的环境中进行的。我们介绍设计和飞行以完成该任务的无人机系统(UAS)以及科学数据结果。该系统包括车辆,有效载荷,地面支持设备(GSE)和科学数据分析。未来的任务将以AI范例科学任务的成功为基础,并且还将进行介绍。

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