Nissan Motor had 23 patents in artificial intelligence during Q2 2024. Nissan Motor Co Ltd has filed patents for a system that uses cameras and LIDAR sensors to create road feel in vehicles with steer-by-wire systems, and another system that detects and locates sounds like squeaks or rattles in vehicles using microphones and machine learning models trained on various vehicle sounds. GlobalData’s report on Nissan Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Nissan Motor had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Vision-based road feel enhancement in vehicles (Patent ID: US20240211046A1)
The patent filed by Nissan Motor Co Ltd. describes a method and system for creating road feel in a vehicle equipped with a steer-by-wire system. This is achieved by using image data from cameras and a LIDAR sensor to determine the road surface through a GAN machine learning model. Subsequently, haptic vibrations are generated based on the determined road surface to provide the driver with a realistic road feel experience. The system can adjust the timing of image data to ensure smooth and responsive road feel, and the haptic vibrations can be applied to various vehicle components such as the steering wheel, pedal, seat, or gear shifter.
Furthermore, the patent outlines the use of sensor data from a test vehicle to train the GAN ML model, along with the correlation of image data with a 3D terrain model generated from LIDAR images. The system operates at a minimum frequency of 800 Hz to ensure accurate road surface determination. Additionally, the patent covers a computer-readable medium storing instructions for performing the method, including obtaining image data, determining road surface, and transmitting signals to haptic motors on vehicle components. The processor can also adjust the timing of image data and correlate sensor data with image data to train the GAN ML model effectively, enhancing the accuracy and realism of the road feel experience in the vehicle.
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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.
