NVIDIA had three patents in internet of things during Q2 2024. NVIDIA Corp has developed techniques for sensor-fusion based object detection and free-space detection using ultrasonic sensors. The systems receive sensor data, process it to generate input data representing object locations, and input it into neural networks to output maps of the environment. These maps include height, occupancy, and height/occupancy maps from a birds-eye-view perspective, which the machine uses to perform 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 had no grants in internet of things as a theme in Q2 2024.
Recent Patents
Application: Sensor fusion using ultrasonic sensors for autonomous systems and applications (Patent ID: US20240176017A1)
The patent filed by NVIDIA Corp. describes techniques for sensor-fusion based object detection and free-space detection using ultrasonic sensors. The systems receive sensor data from a machine, process it to generate input data representing object locations, and input this data into neural networks to output maps like height and occupancy maps. These maps are then used by the machine to perform various operations. The method involves generating height and occupancy maps based on sensor data, aligning images from different instances in time, and utilizing neural networks to process ultrasonic data for object detection.
The patent also includes claims for a method and system to receive sensor data from ultrasonic sensors, generate top-down representations of the environment using neural networks, and perform operations based on this representation. The system can generate input data representing object locations, align images from different time instances, and incorporate height and occupancy indicators in the top-down representation. The processor described in the patent is designed to perform operations based on height and occupancy maps generated using ultrasonic sensor data and neural networks, and can be utilized in various applications such as autonomous machines, simulation operations, virtual reality content generation, and cloud computing resources.
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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.
