摘要
机器人与机器学习每日新闻-机器人与自动化的最新研究结果已经发表。根据NewsRx编辑对中华人民共和国Ta IPA的新闻报道，研究表明：“常规LIDAR-惯性里程计(LIO)或SLAM方法严重依赖于环境的几何特征，因为LIDAR主要提供距离测量而不是运动测量。但从现在起，由于无水平调频连续波(FMCW)LIDAR，情况发生了变化。”本研究经费来自澳门特区科技发展基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics - Ro botics and Automation have been published. According to news reporting out of Ta ipa, People’s Republic of China, by NewsRx editors, research stated, “Convention al LiDAR-inertial odometry (LIO) or SLAM methods heavily rely on geometric featu res of environments, as LiDARs primarily provide range measurements instead of m otion measurements. From now on, however, the situation changes thanks to the no vel Frequency Modulated Continuous Wave (FMCW) LiDARs.” Financial support for this research came from Science and Technology Development Fund of Macau SAR.
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