Hyundai Motor had 115 patents in artificial intelligence during Q2 2024. Hyundai Motor Co filed patents in Q2 2024 for systems and methods to adjust sensor frequency in autonomous vehicles based on environmental factors, a chatbot service method with visual effects for key words, an intelligent line process device with PLC system integration, a 3D object detection correction apparatus using camera information, and an apparatus for diagnosing faults in lithium-air battery power supply devices using neural network models. 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 had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Autonomous vehicle energy efficiency using deep learning adaptive sensing (Patent ID: US20240208519A1)
The patent filed by Hyundai Motor Co. describes systems and methods for adjusting the sensing frequency of sensors in an autonomous vehicle (AV) based on environmental factors using a neural network. The method involves determining environmental factors, such as sensor data, to adjust driving performance and energy consumption by changing the sensing frequency of sensors like LiDAR, radar, cameras, and others. The computing device in the AV processes this information to optimize performance.
The claims outline a method and system for adjusting sensor frequency in AVs, considering factors like risk level, power mode adjustments, and evaluating performance post-adjustment. The system includes sensors transmitting data to the computing device, which uses a neural network to determine actions based on environmental factors. The programming instructions stored in the computing device enable the processor to make necessary adjustments and evaluate the impact on driving performance and energy consumption. This patent highlights the use of advanced technology to enhance the efficiency and safety of autonomous vehicles through intelligent sensor frequency adjustments.
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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.
