Artificial intelligence techniques for autonomous operation of passenger boarding bridges

Abstract

In some embodiments, a computer-implemented method of controlling autonomous movement of a mobile object in an aircraft operating area is provided. An autonomous control computing system receives an image from a digital camera positioned to view at least a portion of the mobile object. The autonomous control computing system provides the image to a machine learning model to detect within the image one or more self objects and one or more intruder objects. The one or more self objects are affixed to the mobile object. The autonomous control computing system predicts future locations for the self objects based on a navigation path for the mobile object. In response to detecting an overlap between the future locations for the self objects and the intruder objects, the autonomous control computing system alters the navigation path to prevent a collision between the self objects and the intruder objects.

Dependencies are inferred from the claim text.