Zhejiang Geely Holding Group had 57 patents in artificial intelligence during Q4 2023. The Zhejiang Geely Holding Group Co Ltd filed patents in Q4 2023 for innovative systems and methods related to automatic driving data collection, flexible compute platforms for vehicle data analysis, vehicle security assessments, preventing duplicate orders in client-server architecture, and matching proprietary vehicle signals to Vehicle Signal Specifications (VSS) for connected vehicle functionalities. These patents aim to improve efficiency, security, and connectivity in the automotive industry. GlobalData’s report on Zhejiang Geely Holding Group gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Zhejiang Geely Holding Group grant share with artificial intelligence as a theme is 22% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method and system for automatic driving data collection and closed-loop management (Patent ID: US20230419683A1)
The patent filed by Zhejiang Geely Holding Group Co Ltd describes a method and system for automatic driving data collection and closed-loop management. The method involves obtaining vehicle driving data, preprocessing it, filtering it through a pre-trained neural network based on a predetermined rule to obtain incremental data, and then storing or transmitting this data to a cloud. This approach effectively filters high-value incremental data, reducing data storage requirements and transmission bandwidth. The system can be mounted on a vehicle, independent of vehicle type, and does not require expensive real-value systems like laser radars, enhancing usability and enabling widespread application.
The method includes various steps such as preprocessing vehicle sensed data, forming structured data by synchronizing visual sensed data, navigation data, and vehicle state data, and applying filtering rules based on high-precision maps, prediction data, cloud instructions, and image differences. The system comprises a data obtaining unit, data processor with preprocessing and filtering modules, memory for storing incremental data, and a transmitting module for cloud transmission. The system can update the neural network with trained data from the cloud, making it adaptable and efficient. Overall, this patent introduces a comprehensive approach to automatic driving data collection and management, leveraging neural networks and structured data processing to enhance efficiency and usability in autonomous driving systems.
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