首页|New Findings from Hongik University in the Area of Robotics Described (Efficient robot tracking system using single-image-based object detection and position estimation)
New Findings from Hongik University in the Area of Robotics Described (Efficient robot tracking system using single-image-based object detection and position estimation)
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NETL
NSTL
Elsevier
Fresh data on robotics are presented in a new report. According to news reporting from Sejong, South Korea, by NewsRx journalists, research stated, “This study proposes a mother-slave robot tracking system that identifies the target, predicts its location, and tracks it based on a single image.” Funders for this research include Hongik University; National Research Foundation of Korea. Our news reporters obtained a quote from the research from Hongik University: “The proposed system utilizes a Convolutional Neural Network (CNN) for object detection, to identify the target robot. The 31 distance and angle between the robots are then calculated through linear regression analysis, which offers a more efficient and cost-effective solution than traditional methods.” According to the news editors, the research concluded: “The performance of the system was evaluated, resulting in an accuracy of 99.59% for object detection, and an average distance error of 2.04% for the estimated location.”
NETL
NSTL
Elsevier
