Hyundai Motor. has been granted a patent for a method of tracking objects that involves assessing the likelihood of two behavior models—free behavior and constant speed—based on previous and current position, speed, and type data. This method enhances the accuracy of object type determination. GlobalData’s report on Hyundai Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Hyundai Motor, Battery management systems was a key innovation area identified from patents. Hyundai Motor's grant share as of June 2024 was 61%. Grant share is based on the ratio of number of grants to total number of patents.
Object tracking using behavior and speed models
The patent US12043270B2 outlines a method and apparatus for tracking an object by utilizing two behavioral models: a free behavior model and a constant speed model. The method involves obtaining likelihoods for both models based on the object's position, speed, and type at two time points: a previous time point (t-1) and a current time point (t). The process includes predicting the object's position under both models and calculating the likelihoods based on these predictions. Additionally, the method incorporates a sensing mechanism using multiple detectors to enhance the accuracy of the detected position, speed, and type of the object, which are then used to determine a virtual position, speed, and type.
The apparatus described in the patent includes a filter that generates the likelihoods for the two models and a type corrector that adjusts the object's type based on these likelihoods. The type corrector employs a series of comparisons against predetermined threshold values to classify the object as either a first type (e.g., pedestrian) or a second type (e.g., two-wheeled vehicle). The system is designed to handle various scenarios, including cases where the object's type is unknown, ensuring robust tracking capabilities. Furthermore, the patent also covers a computer-readable medium that stores a program to execute the described tracking method, emphasizing the integration of advanced detection and classification techniques in object tracking systems.
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