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)

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.29)