首页|Study Findings from Beijing Information Science & Technology Unive rsity Provide New Insights into Robotics (Integrative Approach for High-Speed Ro ad Surface Monitoring:A Convergence of Robotics,Edge Computing,and Advanced O bject Detection)
Study Findings from Beijing Information Science & Technology Unive rsity Provide New Insights into Robotics (Integrative Approach for High-Speed Ro ad Surface Monitoring:A Convergence of Robotics,Edge Computing,and Advanced O bject Detection)
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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 from Beijing,People's Republic of China,by NewsRx correspondents,research stated,"To ensure precise and real -time perception of high-speed roadway conditions and minimize the potential thr eats to traffic safety posed by road debris and defects,this study designed a r eal-time monitoring and early warning system for high-speed road surface anomali es." Funders for this research include National Natural Science Foundation of China.Our news correspondents obtained a quote from the research from Beijing Informat ion Science and Technology University:"Initially,an autonomous mobile intellig ent road inspection robot,mountable on highway guardrails,along with a corresp onding cloud-based warning platform,was developed.Subsequently,an enhanced ta rget detection algorithm,YOLOv5s-L-OTA,was proposed.Incorporating GSConv for lightweight improvements to standard convolutions and employing the optimal tran sport assignment for object detection (OTA) strategy,the algorithm's robustness in multi-object label assignment was enhanced,significantly improving both mod el accuracy and processing speed."
Beijing Information Science and Technolo gy UniversityBeijingPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRobotics
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