TuSimple has patented a system and method for vehicle wheel detection. The technology involves training classifiers to detect vehicle wheels in images, extracting wheel data, and inferring vehicle information. This innovation enhances autonomous vehicle capabilities. 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 April 2024 was 35%. Grant share is based on the ratio of number of grants to total number of patents.
Patent granted for vehicle wheel detection system
A recently granted patent (Publication Number: US11967140B2) discloses a system and method for detecting and analyzing vehicle wheel objects using image data collected by an autonomous vehicle. The system includes a data processor, memory for storing a detection system, and an image data collection system. The detection system is designed to receive image data, extract vehicle wheel objects using trained classifiers, produce vehicle wheel object data, and infer various parameters of the vehicle based on the extracted data. The method involves similar steps, including receiving image data, extracting vehicle wheel objects, producing relevant data, and inferring vehicle parameters. Both the system and method utilize ground truth data, training image data, and a fully convolutional neural network (FCN) for machine learning, with options for semantic segmentation and object-level contour detections.
The patented system and method offer a sophisticated approach to analyzing vehicle wheel objects from image data collected by autonomous vehicles. By utilizing trained classifiers, ground truth data, and FCNs for machine learning, the system can accurately extract vehicle wheel objects, produce relevant data, and infer crucial information about the vehicle's pose, location, intention, and trajectory. The inclusion of options for semantic segmentation and object-level contour detections further enhances the system's capabilities. Overall, this patent represents a significant advancement in the field of autonomous vehicle technology, particularly in the realm of image data analysis and object detection.
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