NVIDIA had 93 patents in digitalization during Q2 2024. NVIDIA Corp filed patents in Q2 2024 related to improving efficiency in multi-sensor systems for autonomous vehicles, optimizing cloud-based access server processing, enhancing audio through machine learning-based super-resolution processing, generating digital representations of environments with various objects, and training machine learning models for specific domains by separately training parts associated with each domain. GlobalData’s report on NVIDIA gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Access deeper industry intelligence
Experience unmatched clarity with a single platform that combines unique data, AI, and human expertise.
NVIDIA had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Determining object associations using machine learning in autonomous systems and applications (Patent ID: US20240211748A1)
The patent filed by NVIDIA Corp. describes systems and methods for determining associations between objects in sensor data and predicted states of those objects in multi-sensor systems, particularly in autonomous or semi-autonomous vehicle perception systems. The disclosed systems employ neural network models, such as multi-layer perceptron (MLP) models or other deep neural network (DNN) models, to learn association costs between sensor measurements and predicted object states. During training, the systems generate data to update parameters of the neural network models, enabling them to provide association costs between sensor data and predicted states during deployment.
The patent includes claims related to a processor that determines predicted states of detected objects, generates association scores using neural network models based on sensor data and input parameters, and updates data based on association thresholds. The processor utilizes MLP models, input parameters like predicted states or sensor identifications, and can trigger system changes based on updated data. Additionally, the claims cover methods for determining predicted object states, generating association scores, and updating object tracks using neural network models processing multi-sensor data. The patent also describes processors that perform operations based on object tracks determined using association scores computed by neural network models.
To know more about GlobalData’s detailed insights on NVIDIA, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
