首页|Study Findings from Leibniz University Hannover Broaden Understanding of Robotic s and Automation (3d Uncertain Implicit Surface Mapping Using Gmm and Gp)
Study Findings from Leibniz University Hannover Broaden Understanding of Robotic s and Automation (3d Uncertain Implicit Surface Mapping Using Gmm and Gp)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. According tonews reporting originating from Hannover, Germany, by NewsRx correspondents, research stated, “In thisletter, we address the challenge of constructing continuous 3D models that accurately re present uncertainsurfaces, derived from noisy LiDAR data. Building upon our pri or work, which utilized the GaussianProcess (GP) and Gaussian Mixture Model (GM M) for structured building models, we introduce a moregeneralized approach tail ored for complex surfaces in urban scenes, where GMM Regression and GP withderi vative observations are applied.”
HannoverGermanyEuropeRobotics and AutomationRoboticsLeibniz University Hannover
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