NVIDIA had 131 patents in big data during Q1 2024. NVIDIA Corp’s patents filed in Q1 2024 include techniques for sensor parameter calibration in in-cabin monitoring systems, generating topological data for computer-generated environments, compressed grid-based graph representations for efficient graph-mapped computing applications, parallel edge decimation on high resolution meshes, and machine learning models for controlling robots based on training operations. GlobalData’s report on NVIDIA gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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NVIDIA grant share with big data as a theme is 35% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Sensor calibration using fiducial markers for in-cabin monitoring systems and applications (Patent ID: US20240104941A1)
The patent filed by NVIDIA Corp. describes sensor parameter calibration techniques for in-cabin monitoring systems, particularly for occupant monitoring systems (OMS) used in vehicles or machines. The system involves determining calibration parameters for interior image sensors to reference 2D captured images to an in-cabin 3D coordinate system. This calibration process involves detecting fiducial points in images, determining 2D and 3D coordinates for these points, computing a rotation-translation transform, and configuring operations based on the calibration parameter. The system can be used for various applications, including autonomous machines, simulation operations, digital twin operations, light transport simulation, content creation, virtual, augmented, or mixed reality content generation, deep learning, real-time streaming, conversational AI, and more, implemented in edge devices, robots, data centers, or cloud computing resources.
The patent also includes claims for a system, processor, and method based on the described calibration techniques. The system comprises processing units to determine image coordinates, compute transforms, and configure operations based on calibration parameters. The processor is designed to detect fiducial points, determine 3D coordinates, and store calibration parameters. The method involves determining occupant information based on images generated by calibrated sensors, with calibration based on transforms between 2D image coordinates and 3D coordinates of fiducial markers in the interior space. These claims cover the implementation of the calibration techniques in various systems and applications, emphasizing the importance of accurate sensor calibration for in-cabin monitoring and assessment purposes.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
