Robotics & Machine Learning Daily News2024,Issue(Dec.3) :49-50.

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)

湘潭大学的研究结果为机器学习提供了新的数据(Smokena V:针对第一反应者的视觉退化环境中的毫米波雷达/惯性测量单元集成定位和智能制图)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :49-50.

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)

湘潭大学的研究结果为机器学习提供了新的数据(Smokena V:针对第一反应者的视觉退化环境中的毫米波雷达/惯性测量单元集成定位和智能制图)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论机器学习的新发现。根据新闻报道NewsRx编辑撰写的《中华人民共和国湘潭报》,研究称:“第一反应者经常面临在烟雾弥漫的环境中出现危险和危及生命的情况,对他们的生命构成重大风险安全现有的感知解决方案,例如基于CA Mera或光探测和测距(LIDAR)的在烟雾引起的视觉退化条件下,方法是不充分的。

Abstract

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.”

Key words

Xiangtan/People’s Republic of China/As ia/Machine Learning/Xiangtan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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