Renault had nine patents in artificial intelligence during Q1 2024. Renault SA’s patent filed in Q1 2024 describes a control device for vehicles with a perception system using sensors. The system includes an online learning module with a neural network to estimate variables related to detected objects. The module uses forward-propagation, fusion system, and back-propagation to update weights and improve predictions. 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 artificial intelligence as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: System and method for controlling machine learning-based vehicles (Patent ID: US20240028903A1)
The patent filed by Renault SA describes a control device used in a vehicle with a perception system that utilizes sensors to estimate variables related to objects in the vehicle's surroundings. The estimation device includes an online learning module that employs a neural network to estimate these variables. The learning module consists of a forward-propagation module to provide predicted outputs, a fusion system to determine fusion outputs using sensor fusion algorithms, and a back-propagation module to update neural network weights by minimizing errors through gradient descent backpropagation.
Furthermore, the patent claims detail the implementation of the control device in a vehicle, specifying the components and functions of the perception system, estimation device, and learning module. The device is designed to estimate variables related to detected objects, including position, movement, and trajectory parameters. It also includes features such as a replay buffer for storing predicted outputs, a recurrent neural network encoder and decoder for data compression and decompression, and prioritization of the replay buffer. The method outlined in the claims involves the steps of propagating sensor data, determining fusion outputs, and updating neural network weights to minimize errors, showcasing the innovative approach taken by Renault SA in enhancing vehicle perception 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.
