Ford Motor had four patents in edge computing during Q4 2023. Ford Motor Co’s patents in Q4 2023 focus on managing vehicle application usage of computing resources and utilizing scene data from multi-access edge computing nodes to autonomously execute vehicle maneuvers based on preferential data. GlobalData’s report on Ford Motor gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Ford Motor grant share with edge computing as a theme is 25% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Adaptively selecting network apn for vehicle application remote computing demand (Patent ID: US20230370822A1)
The patent filed by Ford Motor Co. describes a system for managing vehicle application usage of computing resources by assigning an access point name (APN) to vehicle applications based on application identifiers. The system involves vehicle controllers receiving requests for computing resources from applications, accessing stored APN information to assign APNs, and allowing applications to connect to the network using the assigned APN. The system also includes a management server that can update APN information based on performance data of multi-access edge computing (MEC) devices and cloud systems, pushing this information to vehicles for assigning APNs to applications.
The system's method involves receiving requests for computing resources from vehicle applications, assigning APNs based on application identifiers, and accessing resources through the assigned APNs. Additionally, the method includes sending updated vehicle locations to a management server, receiving updated APN information from the server, and updating stored APN information accordingly. Furthermore, the method involves the management server receiving performance data of MECs and cloud systems, generating updated APN information, and pushing this information to vehicles based on the performance data received. Overall, the system and method aim to efficiently manage computing resources for vehicle applications by dynamically assigning APNs based on various factors such as application identifiers, performance data, and vehicle locations.
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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.
