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Orbital navigation, docking and obstacle avoidance as a form of three dimensional model-based image understanding

机译:轨道导航,对接和避障作为基于三维模型的图像理解的一种形式

摘要

Range imagery from a laser scanner can be used to provide sufficient information for docking and obstacle avoidance procedures to be performed automatically. Three dimensional model-based computer vision algorithms in development can perform these tasks even with targets which may not be cooperative (that is, objects without special targets or markers to provide unambiguous points). Role, pitch, and yaw of a vehicle can be taken into account as image scanning takes place, so that these can be correlated when the image is converted from egocentric to world coordinated. Other attributes of the sensor, such as the registered reflectance and texture channels, provide additional data sources for algorithm robustness.
机译:来自激光扫描仪的距离图像可用于为自动执行的对接和避障程序提供足够的信息。正在开发中的基于三维模型的计算机视觉算法甚至可以对可能无法协作的目标(即,没有特殊目标或标记以提供明确点的对象)执行这些任务。可以在进行图像扫描时考虑到车辆的角色,俯仰和偏航,因此当图像从以自我为中心转换为世界坐标时,可以将它们关联起来。传感器的其他属性(例如注册的反射率和纹理通道)为算法的鲁棒性提供了其他数据源。

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