Hyundai Motor had 113 patents in artificial intelligence during Q4 2023. Hyundai Motor Co filed patents in Q4 2023 for video coding using matrix-based cross-component prediction, vehicle occupant protection system with sensors and safe devices, air conditioning control for electrified vehicles, emergency stop system for vehicles with sensors and processors, and predicting power window performance using deep learning models. GlobalData’s report on Hyundai Motor gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Hyundai Motor grant share with artificial intelligence as a theme is 23% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method and apparatus for video coding using matrix based cross-component prediction (Patent ID: US20230421752A1)
The patent filed by Hyundai Motor Co. discloses a method and apparatus for video coding using matrix-based cross-component prediction. The method involves predicting a chroma component of a current block by utilizing deep learning-based matrix operations, considering spatially adjacent chroma and luma components. The apparatus performs operations such as obtaining reference pixels, generating input blocks, and utilizing an estimating model to create chroma prediction blocks based on rearranged reference pixels.
The method includes specific steps such as obtaining neighboring pixels, rearranging components into input blocks, and utilizing a deep neural network for matrix-based operations. The patent also covers variations in obtaining reference pixels, generating input blocks, and creating chroma prediction blocks, including scenarios where the number of pixels in the prediction block is reduced and requires interpolation filtering. Additionally, the patent extends to a video encoding apparatus and a computer-readable recording medium storing a bitstream generated by the video encoding method, all focusing on predicting chroma components using luma components through deep learning-based models and matrix operations.
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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.
