Performing object perception using location-based knowledge for autonomous systems and applications

Abstract

In various examples, certain objects commonly found in predictable locations of an environment may be more reliably perceived by leveraging known information related to the locations and/or the objects themselves. For instance, the disclosed systems and methods may determine locations of target areas within a coordinate system associated with a target region in an environment, and use the target areas to detect and track certain objects that may be otherwise difficult to perceive. As an example, a target region may be a parking space for a machine and the coordinate system may indicate target areas corresponding to wheel stops, curbs, ground locks, or other objects commonly associated with parking spaces. The systems may sample various points representing sensor returns to determine whether a target object is located in a target area, as well as to track the target object, in some instances.

Dependencies are inferred from the claim text.