Nissan Motor had 126 patents in future of work during Q2 2024. Nissan Motor Co Ltd filed patents in Q2 2024 for innovative technologies including a method for predicting other-vehicle behavior at intersections, a driving circuit with voltage control for switching elements, trajectory planning using machine learning for autonomous vehicle control, a device for detecting abnormalities in vehicles based on data from other vehicles, and engine activation planning in hybrid electric vehicles based on historical driving data. These patents showcase Nissan’s focus on advanced technologies for vehicle safety, efficiency, and autonomous driving capabilities. 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 future of work as a theme in Q2 2024.
Recent Patents
Application: Method for predicting behavior of other vehicle, device for predicting behavior of other vehicle, and driving assistance method (Patent ID: US20240174240A1)
The patent filed by Nissan Motor Co Ltd describes an other-vehicle behavior prediction method that involves calculating the travel path of a host vehicle, detecting an intersection on the path within a certain distance, and predicting the behavior of another vehicle near the host vehicle before the intersection. By calculating passing areas for both vehicles, the space between them, and the distance to the intersection, the method predicts the probability of the other vehicle proceeding through the intersection before the host vehicle. The method also considers factors like speed, presence of other vehicles, and road priority to enhance prediction accuracy.
Furthermore, the patent includes claims for additional features such as adjusting the prediction based on specific distances and speeds, detecting stop lines, and incorporating driving assistance methods based on the predicted probabilities. These claims outline scenarios where the host vehicle may need to decelerate, slow down, or stop based on the likelihood of the other vehicle crossing the intersection first. The patent also introduces a device that implements the described method by calculating paths, detecting vehicles, and predicting behaviors to enhance road safety and driving assistance systems.
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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.
