首页|Findings on Robotics Detailed by Investigators at Obuda University (Electric Veh icle Charging Socket Detection Using Yolov8s Model)
Findings on Robotics Detailed by Investigators at Obuda University (Electric Veh icle Charging Socket Detection Using Yolov8s Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating in Budapest, Hungary, by NewsRx journalists, research stated, "This paper introduces the utilization of the late st small You Only Look Once version 8 - YOLOv8s convolutional neural network in an automatic electric vehicle charging application study." Financial supporters for this research include Obuda University, University of D unaujvaros. The news reporters obtained a quote from the research from Obuda University, "Th e employment of a deep learning -based object detector is a novel and significan t aspect in robotic applications, since it is both, the initial and the fundamen tal step in a series of robotic operations, where the intent is to detect and lo cate the charging socket on the vehicle's body surface. The aim was to use a ren owned and reliable object detector to ensure the reliable and smooth functioning of the deployed robotic vision system in an industrial environment."
BudapestHungaryEuropeEmerging Tech nologiesMachine LearningRoboticsRobotsObuda University
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