Beijing TuSimple Future Technology has patented a method for autonomous vehicles to classify and prioritize objects around them based on location and attributes. The system uses a classification policy to monitor objects, such as applying brakes when a vehicle in front slows down. GlobalData’s report on Beijing TuSimple Future Technology 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 Beijing TuSimple Future Technology, Autonomous freight management was a key innovation area identified from patents.
Autonomous vehicle classifies and prioritizes objects around it
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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 classification policy includes assigning frequencies for updating attributes of objects, with higher frequencies for objects located further away. The method also includes sending instructions for the vehicle to apply brakes when a front vehicle in the same lane slows down, among other features.
Furthermore, the patent describes a system with a computer, processor, and memory that execute instructions to determine the vehicle's location, analyze sensor data to identify objects, classify these objects based on rules, and monitor them accordingly. The system includes selecting a classification policy based on the vehicle's area of operation and the number of nearby objects. It also involves analyzing additional sensor data to update object attributes based on their classification frequency. The system aims to enhance the autonomous vehicle's decision-making process and improve safety measures, such as applying brakes in response to potential hazards like a slowing front vehicle. The patent highlights the importance of real-time monitoring and classification of objects to ensure efficient and safe autonomous vehicle operations.
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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.
