DEEP LEARNING BASED OPERATIONAL DOMAIN VERIFICATION USING CAMERA-BASED INPUTS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

In various examples, methods and systems are provided for determining, using a machine learning model, one or more of the following operational domain conditions related to an autonomous and/or semi-autonomous machine: amount of camera blindness, blindness classification, illumination level, path surface condition, visibility distance, scene type classification, and distance to a scene. Once one or more of these conditions are determined, an operational level of the machine may be determined, and the machine may be controlled according to the operational level.