Toyota Motor had 14 patents in metaverse during Q1 2024. Toyota Motor Corp filed patents related to generating artwork from vehicle sensor data, creating vehicle profiles for virtual environments, displaying AR images in front of vehicles, controlling the position of AR images based on driver’s eye movement, and displaying crosswalks on roads based on pedestrian presence. These patents focus on enhancing the driving experience and safety through innovative technology. 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 metaverse as a theme is 42% 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 artwork may include vehicle performance attributes and be enhanced with filters and lighting effects corresponding to the data.

The system described in the patent includes processors and computer-readable instructions for receiving vehicle sensor data, inputting it into a trained model, and generating artwork based on the data. The system can also generate non-fungible tokens from the artwork and incorporate external data, user preferences, and various vehicle sensor data such as speed, acceleration, and camera data. The method utilizes a generative adversarial network as the trained model to create unique and personalized artwork based on a combination of different data inputs.

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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.