摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员讨论机器人学的新发现-机器人和自动化。根据NewsRx记者从武汉发回的消息，研究表明：“为了同时估计摄像机和动态物体的姿态，视觉SLAMOT方法将视觉同步定位和映射(SLAM)与多个Obje CT跟踪(MOT)相结合。许多视觉SLAMOT方法将动态物体表示为边界盒和点云。”它忽略了可以提供额外约束的物体表面的几何属性。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. According to news originating from Wuhan, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “In order t o estimate both camera poses and dynamic object poses, the visual SLAMMOT method combines visual Simultaneous Localization and Mapping (SLAM) with Multiple Obje ct Tracking (MOT). Many visual SLAMMOT methods represent dynamic objects as boun ding boxes and point cloud clusters, which ignores the geometric properties of t he object surfaces that can provide additional constraints.”
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