首页> 外国专利> METHOD FOR GENERATING DATA SET FOR LEARNING FOR DETECTION OF OBSTACLE IN AUTONOMOUS DRIVING CIRCUMSTANCES AND COMPUTING DEVICE, LEARNING METHOD, AND LEARNING DEVICE USING THE SAME

METHOD FOR GENERATING DATA SET FOR LEARNING FOR DETECTION OF OBSTACLE IN AUTONOMOUS DRIVING CIRCUMSTANCES AND COMPUTING DEVICE, LEARNING METHOD, AND LEARNING DEVICE USING THE SAME

机译:生成用于检测自动驾驶情况和计算机中的障碍物的学习数据集的方法,学习方法以及使用该方法的学习设备

摘要

To provide a method for generating data set for learning for detecting an obstacle in autonomous driving circumstances.SOLUTION: A computing device includes the steps of: obtaining at least one first original image indicating road driving circumstances and a first segmentation ground truth image corresponding to the first original image; obtaining a second original image including a specific object and a second segmentation ground truth image corresponding to the specific object; obtaining a third original image created by cutting a portion corresponding to the specific object and a third segmentation ground truth image created by cutting pixels corresponding to a portion where the specific object is located; and creating at least one fourth original image by compositing the third original image with the first original image and creating a data set for learning including the fourth original image and a fourth segmentation ground truth image corresponding to the fourth original image.SELECTED DRAWING: Figure 1
机译:提供一种用于生成用于学习以检测自动驾驶情况下的障碍物的数据集的方法。解决方案:一种计算设备,包括以下步骤:获得至少一个指示道路驾驶情况的第一原始图像和与该驾驶条件相对应的第一分割地面真实图像。第一张原始图片;获取包括特定物体的第二原始图像和与特定物体对应的第二分割地面真实图像;获得通过切割对应于特定物体的部分而创建的第三原始图像和通过切割对应于特定物体所处的部分的像素而创建的第三分割地面真实图像;通过将第三原始图像与第一原始图像进行合成,并创建一个用于学习的数据集,以创建至少一个第四原始图像,该数据集包括第四原始图像和与第四原始图像相对应的第四分割地面真实图像。

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