Hyundai Motor had 86 patents in artificial intelligence during Q1 2024. Hyundai Motor Co filed patents in Q1 2024 for various innovative technologies. These include an apparatus for selecting training images for deep learning models, an apparatus for object recognition using 2D and 3D images, a device for predicting impact performance using artificial intelligence, a user interface control device based on passenger information, and a device for diagnosing vehicle component faults using machine learning models. These patents showcase Hyundai’s focus on advanced technologies for improving vehicle safety, performance, and user experience. 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 artificial intelligence as a theme is 34% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Apparatus for selecting a training image of a deep learning model and a method thereof (Patent ID: US20240104901A1)
The patent filed by Hyundai Motor Co. describes an apparatus and method for selecting a training image for a deep learning model. The apparatus includes an input device that receives a simulation image and object information from a simulation tool, as well as a training image from an image conversion device. A controller then detects the similarity between the object structures in the simulation and training images to determine the validity of the training image based on this similarity. The controller can determine the validity of the training image by comparing the detected similarity to a threshold value, storing the image if it exceeds the threshold, and considering multiple objects and their similarities.
The method involves receiving a simulation image and object information, as well as a training image, detecting the similarity between the object structures in the images, and determining the validity of the training image based on this similarity. The validity determination can involve comparing the similarity to a threshold, storing the image if it exceeds the threshold, and considering similarities in multiple objects. The process also includes using a structural similarity index measure (SSIM) to assess the similarity between the structures of the objects in the images and assigning weights to the comparison terms of the SSIM. Additionally, the simulation tool generates the simulation image based on various scenarios, while the image conversion device converts the simulation image into the training image using a generative adversarial network (GAN).
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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.
