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Constructing contextual SLAM priors using architectural drawings

机译:使用建筑图纸构造上下文SLAM先验

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Accurate robot mapping, localisation and navigation remains an unsolved problem for challenging real-life indoor environments. Many approaches to Simultaneous Localisation And Mapping (SLAM) have been proposed but few attempts have been made to improve performance by using appropriate prior maps. Information such as floor plans or architectural drawings is available and there is a rich literature of processing floor plans to extract information. However, the problem of converting drawings to an appropriate SLAM prior format has not been addressed. This paper addresses this problem and proposes a way to process such plans using a simple set of geometric constraints to extract useful information and construct appropriate SLAM priors. It also proposes a set of criteria and a method to assess the quality of constructed SLAM priors.
机译:对于具有挑战性的现实室内环境,准确的机器人制图,定位和导航仍然是一个未解决的问题。已经提出了许多同时定位和映射(SLAM)的方法,但是很少尝试通过使用适当的现有映射来提高性能。提供了诸如平面图或建筑图等信息,并且有大量文献处理平面图以提取信息。但是,尚未解决将图形转换为适当的SLAM先前格式的问题。本文解决了这个问题,并提出了一种使用一组简单的几何约束来处理此类计划的方法,以提取有用的信息并构建适当的SLAM先验。它还提出了一套标准和方法来评估构建的SLAM先验的质量。

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