TuSimple‘s patented method for autonomous vehicles involves classifying and prioritizing objects around the vehicle to optimize computational resources. The system uses sensor data and location information to assign classifications based on rules, allowing for efficient monitoring and response, such as applying brakes in response to a slowing vehicle. GlobalData’s report on TuSimple 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 TuSimple, Autonomous freight management was a key innovation area identified from patents. TuSimple's grant share as of February 2024 was 35%. Grant share is based on the ratio of number of grants to total number of patents.

Autonomous vehicle classifies and prioritizes objects for computational resource management

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

A recently granted patent (Publication Number: US11926343B2) discloses a method performed by an autonomous vehicle, involving determining the vehicle's location and the surrounding area based on a map, analyzing sensor data to identify objects nearby, and classifying these objects based on a set of rules. The method includes monitoring objects based on their classification, assigning frequencies for updating attributes of objects, and sending instructions for vehicle actions like applying brakes in response to a slowing vehicle in the same lane.

The patent also describes a system with a computer, processor, and memory that execute instructions to determine the vehicle's location, analyze sensor data for object attributes, select a classification policy, monitor and classify objects, and send instructions for vehicle actions. The system includes sensors like cameras, LiDAR, or Radars to gather data, and the classification policy is selected based on the vehicle's operating area and the number of objects nearby. The method and system aim to enhance autonomous vehicle operations by efficiently monitoring and responding to objects in the vehicle's vicinity, ensuring safe and effective navigation in various environments like highways or intersections.

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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.