Toyota Motor had two patents in cloud during Q4 2023. Toyota Motor Corp filed a patent for a mobility digital twin (MDT) framework that integrates digital and physical spaces in a cloud-based system. The framework can represent various entities such as vehicles, humans, and traffic, utilizing data from different time horizons for enhanced functionality. GlobalData’s report on Toyota Motor gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Toyota Motor grant share with cloud as a theme is 50% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Cloud-based mobility digital twin for human, vehicle, and traffic (Patent ID: US20230367688A1)
The patent filed by Toyota Motor Corp. describes a system and method for utilizing a Mobility Digital Twin (MDT) framework that operates in both a digital space and a physical space, with digital twins representing various entities such as vehicles, humans, and traffic devices. The framework is cloud-based and can leverage real-time and historical data to control physical objects through instructions derived from processed data. The method involves gathering data about a physical object, conforming the data to a data schema in a cloud-based digital space, and receiving instructions for actuation of the physical object from the digital space.
The system and method outlined in the patent enable the transmission of data between physical objects and corresponding digital twins hosted on a cloud-based platform, facilitating the performance of operations on the physical objects based on processed data. The digital twins consist of a data lake and microservices that influence the operation of the physical objects, allowing for modeling, simulation, machine learning, and prediction. The patent emphasizes the ability to determine the availability of digital twins for neighboring physical objects and utilize historical data stored in the data lake for processing, enhancing the overall functionality of the end-to-end framework.
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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.
