Robotics & Machine Learning Daily News2024,Issue(Sep.18) :71-71.

New Robotics and Automation Findings from KTH Royal Institute of Technology Repo rted (Bathymetric Surveying With Imaging Sonar Using Neural Volume Rendering)

Robotics & Machine Learning Daily News2024,Issue(Sep.18) :71-71.

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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Abstract

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).

Key words

Stockholm/Sweden/Europe/Robotics and Automation/Robotics/KTH Royal Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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