Hyundai Motor had two patents in cloud during Q1 2024. Hyundai Motor Co filed a patent for a road surface recognition method using LiDAR data to generate a point cloud map and determine a predicted driving route based on motion-related data, ultimately creating a road surface height profile for the vehicle’s path. GlobalData’s report on Hyundai Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Hyundai Motor grant share with cloud as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method and system for recognizing road surface (Patent ID: US20240059296A1)
The patent filed by Hyundai Motor Co. describes a road surface recognition method that involves extracting point cloud data from LiDAR, generating a point cloud map, determining a predicted driving route based on motion-related data, and generating a road surface height profile. The method includes transforming the point cloud data, iteratively updating transformation information, and estimating height information through interpolation. The system comprises an interface for data communication and a processor for receiving and processing point cloud data and motion-related data to perform the road surface recognition method.
The road surface recognition method and system outlined in the patent aim to enhance vehicle navigation and safety by accurately identifying road surface conditions. By utilizing LiDAR data, motion-related information, and local maps, the method generates detailed road surface height profiles along predicted driving routes. The system's processor is designed to handle data synchronization, transformation, and noise removal to ensure the accuracy of the road surface information provided to the vehicle's navigation system. Overall, the patent highlights Hyundai's innovative approach to improving road surface recognition technology for enhanced driving experiences.
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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.
