Alphabet has patented a method for generating realistic full-scene point clouds using neural networks. The technology involves transforming initial scenes by adding objects at desired locations, creating training data sets for machine learning models. GlobalData’s report on Alphabet gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Alphabet, was a key innovation area identified from patents. Alphabet's grant share as of February 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.

Generating realistic full-scene point clouds using machine learning

Source: United States Patent and Trademark Office (USPTO). Credit: Alphabet Inc

The granted patent (Publication Number: US11922569B2) discloses a method for generating a training data set to train a machine learning model designed to process an input point cloud. The method involves obtaining an initial scene point cloud that characterizes an initial scene, collecting data for the desired location of one or more objects in the scene, and using a neural network to generate a final scene point cloud that includes the objects added at their desired locations. This final scene point cloud is then included in the training data set for the machine learning model.

Furthermore, the method includes training the machine learning model on the generated training data set and deploying the trained model on an autonomous vehicle. The process involves transforming object point clouds, determining desired locations based on object velocity and heading, and utilizing neural networks to process and predict the authenticity of the final scene point clouds. The system and computer storage media described in the patent store instructions for executing the operations related to generating the training data set, training the model, and deploying it on autonomous vehicles, showcasing a comprehensive approach to enhancing machine learning capabilities for processing point cloud data in various environments.

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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.