Texas Instruments had six patents in artificial intelligence during Q2 2024. Texas Instruments Inc has developed systems and methods for multi-dimensional object pose estimation using machine learning models. The approach involves converting parameterized rotation and translation vectors into non-parameterized vectors to update image data accurately. GlobalData’s report on Texas Instruments gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Texas Instruments had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Object pose estimation in the context of neural networks (Patent ID: US20240153139A1)
The patent filed by Texas Instruments Inc. describes systems and methods for multi-dimensional object pose estimation using machine learning models. The method involves inputting image data to a machine learning model to predict parameterized rotation and translation vectors for an object in the image. These parameterized vectors are then converted into non-parameterized vectors, which are used to update the image data. The system includes processing circuitry that performs these steps, allowing for accurate object pose estimation in images.
Furthermore, the patent includes claims detailing the method for predicting object poses in images, training the machine learning model, and updating image data based on the non-parameterized vectors. The computing apparatus described in the patent includes memory devices, processors, and program instructions for implementing the method. Additionally, the processing circuitry is designed to handle the input, conversion, and output of the rotation and translation vectors. Overall, the patent presents a comprehensive approach to multi-dimensional object pose estimation using machine learning models, with a focus on converting parameterized vectors to non-parameterized vectors for accurate image data updates.
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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.
