PARKING AREA DETECTION FOR AUTONOMOUS AND SEMI-AUTONOMOUS SYSTEMS AND APPLICATIONS

In various examples, parking area detection for autonomous and/or semi-autonomous systems and applications is described herein. Systems and methods described herein may use a hybrid method to more accurately determine geometries of the parking areas within environments. For instance, sensor data (e.g., image data, etc.) may be processed using one or more edge detection techniques to determine edge features (e.g., two-dimensional pixels, three-dimensional points, etc.) associated with an environment that includes a parking area. A predicted geometry associated with the parking area, as determined using one or more machine learning models, may then be used to filter the edge features in order to identify a portion of the edge features that represent the parking area. One or more optimization techniques may then be used to determine the final geometry associated with the parking area based at least on the filtered edge features.