Nissan Motor has been granted a patent for a method that allows autonomous vehicles to navigate through a transportation network. The method involves identifying specific operational scenarios, receiving control actions from a model, selecting an action, and controlling the vehicle based on that action. The solution is obtained offline in an idealized situation. 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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According to GlobalData’s company profile on Nissan Motor, Hydrogen fuel cells was a key innovation area identified from patents. Nissan Motor's grant share as of May 2024 was 45%. Grant share is based on the ratio of number of grants to total number of patents.

Method for autonomous vehicle to navigate vehicle transportation network

Source: United States Patent and Trademark Office (USPTO). Credit: Nissan Motor Co Ltd

A recently granted patent (Publication Number: US12001211B2) outlines a method for autonomous vehicles (AVs) to navigate a vehicle transportation network efficiently. The method involves identifying distinct vehicle operational scenarios, receiving solutions from models offline, selecting candidate vehicle control actions, and controlling the AV based on these actions. The patent also includes provisions for receiving solutions from multiple models for different scenarios, determining a set of actions based on the intersection of candidate control actions, and incorporating default actions when necessary.

Furthermore, the patent extends to an autonomous vehicle equipped with a processor that executes instructions stored on a computer-readable medium to identify operational scenarios, receive solutions from models, select control actions, and operate the vehicle accordingly. The processor can also handle multiple scenarios, determine actions based on intersections of control actions, and consider sensor information for decision-making. The patent emphasizes the importance of utilizing state information of the AV, including sensor and actuator states, tele-operator availability, and autonomy competence levels, to enhance the vehicle's navigation capabilities. Overall, the patent aims to improve the efficiency and safety of autonomous vehicles by leveraging offline solutions and state information for real-time decision-making in various operational scenarios within a transportation network.

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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.