Tesla had one patent in robotics during Q4 2023. Tesla Inc filed a patent in Q4 2023 for a system that uses images captured by vehicle sensors, decomposes them into component images, and feeds them into different layers of an artificial neural network to autonomously operate the vehicle. GlobalData’s report on Tesla gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Tesla grant share with robotics as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Data pipeline and deep learning system for autonomous driving (Patent ID: US20230359897A1)
The patent filed by Tesla Inc. describes a method for processing sensor data captured by a vehicle to autonomously operate the vehicle using an artificial neural network. The sensor data is decomposed into global data and feature data components, which are then provided to sequential layers of a convolutional neural network. The result obtained from the neural network informs the autonomous operation of the vehicle, including functions such as braking, steering, changing lanes, accelerating, and merging into different lanes.
The method involves extracting global data associated with global illumination data and feature data associated with edge data from the sensor data. The input data is processed through sequential layers of the convolutional neural network, with each layer receiving input data of smaller size than the previous layer. Additionally, denoising filters, low-pass filters for global data, high-pass filters for feature data, and band-pass filters for additional data components are applied to enhance the input data for better processing by the neural network. The system described in the patent includes multiple sensors on the vehicle, processors, and computer storage media to execute the instructions for processing sensor data and obtaining vehicle control results for autonomous operation based on the neural network's output.
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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.
