Tesla had 29 patents in artificial intelligence during Q2 2024. Tesla Inc filed patents in Q2 2024 for methods and systems utilizing artificial intelligence modeling techniques to analyze camera feed from an ego object, enhancing object detection for autonomous vehicles based on field of view, training machine models with augmented data, identifying distances of objects from vehicles using machine learning models, and operating machine learning models at different frequencies for analyzing images from vehicle sensors. GlobalData’s report on Tesla gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Tesla had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Artificial intelligence modeling techniques for vision-based occupancy determination (Patent ID: US20240185445A1)
The patent filed by Tesla Inc. describes methods and systems that utilize artificial intelligence modeling techniques to analyze camera feed data from an ego object to determine the occupancy status of different voxels in the surroundings. The method involves inputting image data from the ego object's camera into an AI model, predicting the occupancy attribute of multiple voxels, and generating a dataset based on these predictions. The dataset can be used to transmit occupancy information to an autonomous driving protocol of the ego object, such as an autonomous vehicle, enabling it to navigate autonomously based on the occupancy data.
Furthermore, the patent outlines the configuration of an ego object, such as an autonomous vehicle, equipped with a camera, processors, and a computer-readable medium containing an AI model. The first processor inputs image data into the AI model, predicts occupancy attributes of voxels, and generates a dataset, while the second processor autonomously navigates the ego object using this dataset. The AI model can also generate visual outputs representing the environment of the ego object, with graphical indicators showing the occupancy attributes of different voxels. Additionally, the AI model is trained using sensor attributes of the voxels, and the ego object executes a driving protocol based on the dataset, enhancing its autonomous navigation capabilities.
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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.
