DETECTING OCCLUDED OBJECTS WITHIN IMAGES FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

Abstract: in various examples, detecting occluded objects within images or other sensor data representations for autonomous or semi-autonomous systems and applications is described herein. systems and methods described herein may determine when objects are occluded at portions of images using various techniques. for example, an image may be processed in order to determine classifications associated with objects depicted by the image and, the classifications, along with labels that are projected on the image using a map, may then be used to determine whether one or more of the objects are occluded in the image. for another example, a map may be used to determine first distances to points within an environment and a point cloud may be used to determine second distances to the points within the environment. the distances may then be used to determine whether one or more objects are occluded within the image.

Inventor(s): Anurag Singh, Sakib Ar Rahman, Tao Fu, Yifang Xu, Gang Pan

CPC Classification: G06V20/58 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)

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