摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器人的研究发现-机器人CS和自动化在一份新的报告中讨论。根据NewsRx编辑在武汉的新闻报道，研究表明：“在室内场景中，SLAM系统中的姿态估计漂移对于降低低纹理和纹理重复等因素的影响具有挑战性。一些研究利用M Anhattan结构信息实现低漂移旋转估计，大大降低了累积误差。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics - Roboti cs and Automation are discussed in a new report. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “In i ndoor scenes, pose estimation drift in SLAM systems is challenging to mitigate d ue to factors like low texture and texture repetition. Several studies utilize M anhattan structural information to achieve low-drift rotation estimation consequ ently reducing the cumulative error.”
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