Oct. 20, 2022, 1:15 a.m. | Andres Pulido, Ruoyao Qin, Antonio Diaz, Andrew Ortega, Peter Ifju, Jaejeong Shin

cs.CV updates on arXiv.org arxiv.org

Generating 3D point cloud (PC) data from noisy sonar measurements is a
problem that has potential applications for bathymetry mapping, artificial
object inspection, mapping of aquatic plants and fauna as well as underwater
navigation and localization of vehicles such as submarines. Side-scan sonar
sensors are available in inexpensive cost ranges, especially in fish-finders,
where the transducers are usually mounted to the bottom of a boat and can
approach shallower depths than the ones attached to an Uncrewed Underwater
Vehicle (UUV) …

arxiv cloud cost detection mapping

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Engineer

@ Parker | New York City

Sr. Data Analyst | Home Solutions

@ Three Ships | Raleigh or Charlotte, NC