首页> 外国专利> METHOD FOR DETERMINING SPECIFIC AREA FOR OPTICAL NAVIGATION ON BASIS OF ARTIFICIAL NEURAL NETWORK, ON-BOARD MAP GENERATION DEVICE, AND METHOD FOR DETERMINING DIRECTION OF LANDER

METHOD FOR DETERMINING SPECIFIC AREA FOR OPTICAL NAVIGATION ON BASIS OF ARTIFICIAL NEURAL NETWORK, ON-BOARD MAP GENERATION DEVICE, AND METHOD FOR DETERMINING DIRECTION OF LANDER

机译:基于人工神经网络,板载地图生成装置的光学导航的特定区域的方法以及确定着陆方向的方法

摘要

Various embodiments provide a method for determining a specific area, a method for generating an on-board map, and a method for determining a direction of a lander. The method for determining a specific area is performed by a computing device, and comprises the steps of: determining an observation region and a plurality of candidate areas within the observation region; labeling location information on each of a plurality of images in which at least a part of the observation region is shown; training an artificial neural network based on a convolutional neural network on the basis of the plurality of images labeled with the location information, so that each of the plurality of candidate areas can be searched for in each of the plurality of images; evaluating searchability of each of the plurality of candidate areas on the basis of the trained artificial neural network; and determining at least a part of the plurality of candidate areas as specific areas on the basis of the searchability of each of the plurality of candidate areas.
机译:各种实施例提供了一种用于确定特定区域的方法,用于生成在板地图的方法,以及用于确定着陆器的方向的方法。用于确定特定区域的方法由计算设备执行,并且包括以下步骤:确定观察区域和观察区域内的多个候选区域;标记关于多个图像中的每一个的位置信息,其中示出了观察区域的至少一部分;基于卷积神经网络的基于与位置信息标记的多个图像训练人工神经网络,从而可以在多个图像中的每一个中搜索多个候选区域中的每一个;评估基于培训的人工神经网络的多个候选区域的搜索性;基于多个候选区域中的每一个的搜索性,将多个候选区域的至少一部分确定为特定区域。

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