Toyota Motor had 206 patents in artificial intelligence during Q4 2023. Toyota Motor Corp filed patents in Q4 2023 for methods related to object tracking in connected vehicles, learning models for identifying causes of sounds in vehicles, decentralized parking fulfillment services using artificial intelligence networks, re-identification of target objects in image data using machine learning, and enhancing vehicle safety by automatically controlling the vehicle based on road infrastructure element height analysis. 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 artificial intelligence as a theme is 45% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for efficient object tracking as a service via edge (Patent ID: US20230419540A1)
The patent filed by Toyota Motor Corp. describes a method for tracking objects using connected vehicles. The method involves receiving features and an estimated location of the object to be tracked, determining a region of interest with respect to a connected vehicle, transmitting data to the vehicle, receiving object data from the vehicle, and updating the object track based on the received data. The system utilizes edge servers and connected vehicles to track objects efficiently, considering factors like location, speed, trajectory, and line of sight to ensure accurate tracking.
The method also includes selecting the appropriate connected vehicle based on proximity to the object's estimated location, utilizing sensor data captured by the vehicle system, and employing neural networks for feature extraction. The system further involves determining future object locations, adjusting the region of interest based on covariance, and transferring tracking responsibilities between edge servers based on coverage areas. Overall, the patent outlines a comprehensive system for object tracking that leverages connected vehicles, edge servers, and advanced technologies like neural networks to enhance tracking accuracy and efficiency.
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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.
