Toyota Motor had 183 patents in artificial intelligence during Q1 2024. Toyota Motor Corp’s patents in Q1 2024 focus on innovative systems and methods for generating artwork from vehicle sensor data, forming multi-view datasets from fleet data, training models using federated learning, compressing time-series data, and estimating reachable states for vehicles using neural models. These technologies aim to enhance the efficiency, safety, and capabilities of vehicles through advanced data processing and analysis techniques. GlobalData’s report on Toyota Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Toyota Motor grant share with artificial intelligence as a theme is 49% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods for dynamically generating artwork based on vehicle sensor data (Patent ID: US20240104788A1)

The patent filed by Toyota Motor Corp. discloses systems and methods for dynamically generating artwork from vehicle sensor data. The method involves receiving vehicle sensor data, inputting it into a trained model, and generating artwork based on the data. The artwork can also incorporate external data such as location, weather, and race results, as well as user preferences. Additionally, the system can generate non-fungible tokens from the artwork, apply filters, and depict lighting corresponding to the data.

The claims outline a method and system for generating artwork using vehicle sensor data, external data, and user preferences. The method includes inputting data into a trained model, generating artwork with vehicle performance attributes, and applying filters. The system involves processors executing instructions to create artwork based on sensor data, external factors, and user preferences, with the ability to generate non-fungible tokens. Overall, the technology described in the patent allows for the creation of unique and personalized artwork using a combination of vehicle data and other relevant information.

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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.