首页|Report Summarizes Robotics and Automation Study Findings from Beijing Jiaotong U niversity (Monosample: Synthetic 3d Data Augmentation Method In Monocular 3d Obj ect Detection)
Report Summarizes Robotics and Automation Study Findings from Beijing Jiaotong U niversity (Monosample: Synthetic 3d Data Augmentation Method In Monocular 3d Obj ect Detection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics - Robotics an d Automation is the subject of a report.According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents,research st ated, “In the context of autonomous driving, it is both critical and challenging to locate3D objects by using a calibrated RGB image. Current methods typically utilize heteroscedastic aleatoricuncertainty loss to regress the depth of obje cts, thereby reducing the impact of noisy input while alsoensuring the reliabil ity of depth predictions.”
BeijingPeople’s Republic of ChinaAsi aRobotics and AutomationRoboticsBeijing Jiaotong University
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