Kia had 112 patents in artificial intelligence during Q2 2024. Kia Corp filed patents in Q2 2024 for adjusting sensing frequency in autonomous vehicles, providing chatbot services with visual effects, performing intelligent line processes, correcting 3D object detection errors, and diagnosing faults in lithium-air battery power supply devices using neural network models. GlobalData’s report on Kia gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Kia 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 Kia Corp. 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, and adjusting driving performance and energy consumption by modifying the sensing frequency of sensors. The system includes sensors, a computing device with a processor and memory, and programming instructions to execute actions based on environmental factors to optimize AV performance and energy efficiency.
The method and system outlined in the patent claims involve utilizing a neural network to determine actions for adjusting sensor frequency based on environmental factors, including sensor data from various sensors like LiDAR, radar, cameras, and more. By evaluating the risk level of the environment, the system can optimize sensor power modes and overall AV performance. Additionally, the system includes provisions for evaluating driving performance and energy consumption post-adjustment to ensure efficiency. Overall, the patent focuses on enhancing AV capabilities by dynamically adjusting sensor frequencies based on real-time environmental conditions to improve performance and energy efficiency.
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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.
