Abstract: Autonomous machine (100) navigation techniques include using simulation to configure camera (133) capture parameters. A method may include capturing image data of a scene, generating irradiance image data, determining at least one test camera capture parameter, determining a simulated scene parameter, and generating at least one updated camera capture parameter. Image data for camera capture configuration may be captured while the autonomous machine is moving. Camera (133) captures parameters may be used to capture images while the autonomous machine (100) is slowed or stopped, particularly in lowlight conditions.

Abstract: A method and a system for retrieving disparity information from a stereo image pair including a first and second images obtained by first and second cameras, respectively. The first and second images are provided to a conventional disparity algorithm to an artificial intelligence (AI) driven disparity algorithm. Using the conventional disparity algorithm, the first disparity information is derived from the stereo image pair, and a confidence score function is associated with the derived first disparity information. Using the AI-driven disparity algorithm, second disparity information is derived from at least part of the stereo image pair. The first and second disparity information are fused by giving priority to the first disparity information in regions of the stereo image pair with a high confidence score and giving priority to the second disparity information in regions of the stereo image pair with a low confidence score, thereby obtaining resultant disparity information.

Abstract: Autonomous machine (100) navigation techniques include using simulation to configure camera (133) capture parameters. A method may include capturing image data of a scene, generating irradiance image data, determining at least one test camera capture parameter, determining a simulated scene parameter, and generating at least one updated camera capture parameter. Image data for camera capture configuration may be captured while the autonomous machine is moving. Camera (133) captures parameters may be used to capture images while the autonomous machine (100) is slowed or stopped, particularly in lowlight conditions.