DEEP LEARNING-BASED DETECTION OF GROUND FEATURES USING A HIGH DEFINITION MAP

According to an aspect of an embodiment, operations may comprise accessing a map of a region. The map may comprise a three-dimensional (3D) point cloud comprising points of the region. Each of the points may comprise a pixel that comprises a red channel, a green channel, a blue channel, and intensity channel, and a height channel. The operations may also comprise identifying a set of points on the ground in the 3D point cloud. The operations may also comprise providing the set of points as input to a deep learning model. The operations may also comprise determining, using the deep learning model, whether each of the set of points is within a ground feature. The operations may also comprise storing, in the map, information regarding the ground feature in the map of the region.