首页|Findings from Friedrich-Alexander-University Erlangen-Nurnberg (FAU) Provides Ne w Data on Robotics and Automation (Crossmodal Supervision Based Road Segmentati on and Trajectory Prediction With Automotive Radar)
Findings from Friedrich-Alexander-University Erlangen-Nurnberg (FAU) Provides Ne w Data on Robotics and Automation (Crossmodal Supervision Based Road Segmentati on and Trajectory Prediction With Automotive Radar)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; Data detailed on Robotics - Robotics and Automati on have been presented. According to newsreporting originating in Erlangen, Ger many, by NewsRx journalists, research stated, “Automotive radarplays a crucial role in providing reliable environmental perception for autonomous driving, part icularlyin challenging conditions such as high speeds and bad weather. In this domain the deep learning-basedmethod is one of the most promising approaches, b ut the presence of noisy signals and the complexity ofdata annotation limit its development.”Financial support for this research came from BMW Group.
ErlangenGermanyEuropeRobotics and AutomationRoboticsAutomobilesTransportationFriedrich-Alexander-Universit y Erlangen-Nurnberg (FAU)
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