首页> 外国专利> METHOD AND COMPUTING DEVICE FOR GENERATING IMAGE DATA SET FOR LEARNING TO BE USED FOR DETECTION OF OBSTRUCTION IN AUTONOMOUS DRIVING CIRCUMSTANCES AND LEARNING METHOD AND LEARNING DEVICE USING THE SAME

METHOD AND COMPUTING DEVICE FOR GENERATING IMAGE DATA SET FOR LEARNING TO BE USED FOR DETECTION OF OBSTRUCTION IN AUTONOMOUS DRIVING CIRCUMSTANCES AND LEARNING METHOD AND LEARNING DEVICE USING THE SAME

机译:用于生成用于检测自动驾驶情况中的障碍物的学习图像数据集的方法和计算设备,以及使用该方法的学习设备和学习设备

摘要

A method for generating at least one data set for learning to be used for detecting at least one obstruction in autonomous driving circumstances is provided. The method includes steps of: a computing device (a) obtaining a first original image indicating a driving situation, and a first segmentation ground truth (GT) image corresponding to the first original image; (b) obtaining a second original image including a specific object, and a second segmentation GT image which includes segmentation information for the specific object and corresponds to the second original image; (c) obtaining a third original image by cutting a portion corresponding to the specific object, and a third segmentation GT image by cutting pixels corresponding to an area where the specific object is located; and (d) creating the data set for learning which includes a fourth original image and a fourth segmentation GT image corresponding to the fourth original image.
机译:提供了一种用于生成至少一个用于学习的数据集的方法,该数据集用于在自动驾驶情况下检测至少一个障碍物。该方法包括以下步骤:计算设备(a)获得指示驾驶状况的第一原始图像以及与该第一原始图像相对应的第一分割地面真实(GT)图像;以及(b)获得包括特定对象的第二原始图像,以及包括该特定对象的分割信息并且与第二原始图像相对应的第二分割GT图像; (c)通过切割对应于特定对象的部分来获得第三原始图像,以及通过切割对应于特定对象所处区域的像素来获得第三分割GT图像; (d)创建用于学习的数据集,该数据集包括第四原始图像和与第四原始图像对应的第四分割GT图像。

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