首页|Findings from Xiangtan University Provides New Data on Machine Learning (Smokena v: Millimeter-wave-radar/inertial Measurement Unit Integrated Positioning and Se mantic Mapping In Visually Degraded Environments for First Responders)
Findings from Xiangtan University Provides New Data on Machine Learning (Smokena v: Millimeter-wave-radar/inertial Measurement Unit Integrated Positioning and Se mantic Mapping In Visually Degraded Environments for First Responders)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reporting outof Xiangtan, People’s Republic of China, by NewsRx editors, research stated, “First responders often facehaza rdous and life-threatening situations in environments filled with smoke, posing significant risks to theirsafety. The existing perception solutions, such as ca mera or light detection and ranging (LiDAR)-basedmethods, are inadequate when f aced with visually degraded conditions caused by smoke.”
XiangtanPeople’s Republic of ChinaAs iaMachine LearningXiangtan University
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