首页|Chinese Academy of Sciences Details Findings in Robotics and Automation (A Mm Wave Radar Slam Method In Subterranean Tunnel for Low Visibility and Degradation)
Chinese Academy of Sciences Details Findings in Robotics and Automation (A Mm Wave Radar Slam Method In Subterranean Tunnel for Low Visibility and Degradation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics - Robotics and Automation. According tonews reporting originating from B eijing, People’s Republic of China, by NewsRx correspondents, researchstated, “ A novel mmWave radar SLAM method is proposed to integrate multi-dimensional info rmation,including velocity, spatial, RCS, and semantics to enable autonomous na vigation in subterranean tunnelenvironments, which are characterized by low vis ibility and degraded conditions.”Our news editors obtained a quote from the research from the Chinese Academy of Sciences, “By combiningdoppler odometry, scan matching, and feature matching mo dules, the proposed method effectivelymitigates environmental degradation. Expe rimental results from various subterranean tunnel trajectoriesshow that the pro posed method achieves superior localization and mapping accuracy compared to exi stingradar SLAM methods, and even outperforms state-of-the-art Lidar SLAM methods.”
BeijingPeople’s Republic of ChinaAsiaRobotics and AutomationRoboticsChinese Academy of Sciences
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