首页|New Robotics and Automation Findings from KTH Royal Institute of Technology Repo rted (Bathymetric Surveying With Imaging Sonar Using Neural Volume Rendering)
New Robotics and Automation Findings from KTH Royal Institute of Technology Repo rted (Bathymetric Surveying With Imaging Sonar Using Neural Volume Rendering)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news reporting out of Sto ckholm, Sweden, by NewsRx editors, research stated, “This research addresses the challenge of estimating bathymetry from imaging sonars where the state-of-the-a rt works have primarily relied on either supervised learning with ground-truth l abels or surface rendering based on the Lambertian assumption. In this letter, w e propose a novel, self-supervised framework based on volume rendering for recon structing bathymetry using forward-looking sonar (FLS) data collected during sta ndard surveys.” Financial supporters for this research include Knut & Alice Wallen berg Foundation, Stiftelsenfur Strategisk Forskning (SSF) through Swedish Mariti me Robotics Centre(SMaRC).
StockholmSwedenEuropeRobotics and AutomationRoboticsKTH Royal Institute of Technology
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