Nuro. has been granted a patent for a method that synchronizes raw data from multiple sources in autonomous vehicles, creating data snapshots with contextual information. These snapshots enable efficient searching and analysis of specific scenes and scenarios encountered by the vehicle over time. GlobalData’s report on Nuro gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Nuro, AI assisted drone control was a key innovation area identified from patents. Nuro's grant share as of June 2024 was 33%. Grant share is based on the ratio of number of grants to total number of patents.
Autonomous vehicle data synchronization and scene analysis method
The patent US12019584B1 outlines a method for processing data from multiple sources related to the operation of autonomous vehicles. The method involves obtaining raw data asynchronously from various data sources, which includes planner data that defines the vehicle's trajectory based on its environment and control data for navigation. This raw data is then synchronized to a specific time or time period, creating a data snapshot that includes index information reflecting the vehicle's perceived world state. The data snapshot is subsequently stored in a synchronized data log, which can be either a full snapshot or partitioned into smaller portions, depending on the requirements.
Additionally, the patent describes processes for generating metadata, including timestamps for the data snapshots, and the ability to query the synchronized data log for specific scenes or scenarios. This querying process involves searching the index information to identify relevant data snapshots or series of snapshots that match the query parameters. The system is designed to enhance the efficiency of data management and retrieval for autonomous vehicle operations, ensuring that the data is organized and accessible for further analysis or operational needs.
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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.
