MONOCULAR DEPTH SUPERVISION FROM 3D BOUNDING BOXES

摘要

A method includes capturing a two-dimensional (2D) image of an environment adjacent to an ego vehicle, the environment includes at least a dynamic object and a static object. The method also includes generating, via a depth estimation network, a depth map of the environment based on the 2D image, an accuracy of a depth estimate for the dynamic object in the depth map is greater than an accuracy of a depth estimate for the static object in the depth map. The method further includes generating a three-dimensional (3D) estimate of the environment based on the depth map and identifying a location of the dynamic object in the 3D estimate. The method additionally includes controlling an action of the ego vehicle based on the identified location.