摘要
由一名新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-详细的机器人-机器人和自动化数据已经呈现。根据NewsRx记者对中华人民共和国武汉的新闻报道，研究表明：“视觉同步定位和制图(VSLAM)具有广泛的应用，目前最先进的方法是利用深度神经网络实现更好的鲁棒性和实用性，但在将这些基于学习的D方法与多传感器信息融合方面缺乏研究。”这对于将相关应用程序推向大规模和复杂的场景可能是必不可少的。本研究经费来源于国家重点研究开发项目。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. According to news reporting originating in Wu han, People’s Republic of China, by NewsRx journalists, research stated, “Visual simultaneous localization and mapping (VSLAM) has broad applications, with stat e-ofthe- art methods leveraging deep neural networks for better robustness and a pplicability. However, there is a lack of research in fusing these learning-base d methods with multi-sensor information, which could be indispensable to push re lated applications to large-scale and complex scenarios.” Financial support for this research came from National Key Research and Developm ent Program of China.
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