TuSimple. has been granted a patent for a system that determines the distance between a vehicle and lane markers using image processing. The system employs a camera and processor to analyze images, identify vehicle components, and calculate distances based on bounding box adjustments. 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 July 2024 was 35%. Grant share is based on the ratio of number of grants to total number of patents.
Vehicle-to-lane distance determination system and method
The granted patent US12073724B2 describes an in-vehicle control system designed to enhance vehicle navigation and safety by determining the distance between a vehicle and lane markers using image processing techniques. The system comprises a processor and a computer-readable memory that stores executable instructions. These instructions enable the processor to receive an image, identify the vehicle and lane markers, and create a bounding box around the vehicle. The system further refines the bounding box based on the vehicle's sides and calculates the distance to the lane marker, utilizing various image features such as wheel locations and pixel coordinates.
Additionally, the patent outlines methods for improving the accuracy of vehicle identification and lane detection through segmentation maps and pixel analysis. It includes provisions for determining the number of wheels visible in the image, which aids in identifying the vehicle's orientation. The system can also assess the vehicle's predicted behavior based on the calculated distance to the lane marker, allowing for the adjustment of autonomous vehicle controls. Overall, the patent presents a comprehensive approach to vehicle-lane interaction, leveraging advanced image processing to enhance driving safety and efficiency.
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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.
