首页|Data from University of California San Diego (UCSD) Provide New Insights into Ro botics and Automation (Shenron - Scalable,High Fidelity and Efficient Radar Sim ulation)
Data from University of California San Diego (UCSD) Provide New Insights into Ro botics and Automation (Shenron - Scalable,High Fidelity and Efficient Radar Sim ulation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics - Robotics and Automation. According to news reporting from La Jolla,C alifornia,by NewsRx journalists,research stated,"Radar Simulations have becom e an essential tool in radar algorithm development and testing due to the lack o f available high-resolution radar datasets and enormous difficulty in acquiring real-world data. However,simulating radar data is challenging as existing radar simulation tools are not easily accessible,require detailed mesh inputs and ta ke hours to simulate." The news correspondents obtained a quote from the research from the University o f California San Diego (UCSD),"To address these issues,we present SHENRON,an open-source framework that efficiently simulates high-fidelity MIMO radar data u sing only lidar point cloud and camera images. We show that with SHENRON,one ca n generate simulated data that can be used to evaluate algorithms as effectively as on real data."
La JollaCaliforniaUnited StatesNor th and Central AmericaRobotics and AutomationRoboticsUniversity of California San Diego (UCSD)