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Automatic mission planning algorithms for aerial collection of imaging-specific tasks

机译:用于空中收集成像特定任务的自动任务规划算法

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The rapid advancement and availability of small unmanned aircraft systems (sUAS) has led to many novel exploitation tasks utilizing that utilize this unique aerial imagery data. Collection of this unique data requires novel flight planning to accomplish the task at hand. This work describes novel flight planning to better support structure-from-motion missions to minimize occlusions, autonomous and periodic overflight of reflectance calibration panels to permit more efficient and accurate data collection under varying illumination conditions, and the collection of imagery data to study optical properties such as the bidirectional reflectance distribution function without disturbing the target in sensitive or remote areas of interest. These novel mission planning algorithms will provide scientists with additional tools to meet their future data collection needs.
机译:小型无人驾驶飞机系统(SUAS)的快速进步和可用性导致了许多新颖的开发任务,利用这种独特的空中图像数据。收集这种独特的数据需要新颖的飞行计划来完成手头的任务。这项工作描述了新颖的飞行计划,以更好地支持结构 - 从动议任务,以最大限度地减少反射率校准面板的闭塞,自主和周期性过度,以允许在不同的照明条件下更有效和准确的数据收集,以及要研究光学特性的图像数据如双向反射率分布功能,而不会扰乱感兴趣的敏感或远程区域的目标。这些新的任务策划算法将提供科学家的额外工具,以满足其未来的数据收集需求。

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