Renault had four patents in digitalization during Q1 2024. Renault SA’s patents filed in Q1 2024 focus on methods for modifying software in motor vehicles and control devices for vehicles with perception systems using sensors. The software modification method involves receiving and verifying software and deployment data before making modifications. The control device includes an online learning module with a neural network for estimating variables related to objects detected around the vehicle, using sensor data and implementing a sensor fusion algorithm for improved accuracy. GlobalData’s report on Renault gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Renault grant share with digitalization as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method for modifying software in a motor vehicle (Patent ID: US20240028731A1)
The patent filed by Renault SA describes a method for modifying software in a motor vehicle by receiving software data and deployment data, verifying the data, and then modifying the software in the vehicle if all verification steps are successful. The deployment data includes general and specific criteria for software deployment, signed by primary and secondary supervisory authorities respectively. The method involves verifying signatures, compatibility with vehicle characteristics, and modifying software based on the validated verification steps.
The method outlined in the patent includes steps for receiving software data and deployment data in a motor vehicle, verifying the data through multiple verification steps, and modifying the software in the vehicle based on the validated verifications. The deployment data consists of general and specific criteria for software deployment, signed by primary and secondary supervisory authorities. The criteria include space, time, and identification criteria for deployment, with specific deployment data being choices among the general criteria. The method also involves comparing digital fingerprints, verifying signatures with public keys, and allowing for the introduction of new software or updates 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.
