Guaranteed SLAM - A pure interval approach

Alexandru Codres, B. Codres, A. Stancu
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Abstract

This paper presents a new Simultaneous Localisation And Mapping (SLAM) method which takes into account all measurements provided by a 2D LiDAR sensor and generates a Constraint Satisfaction Problem (CSP). Interval methods are used to solve the CSP in a guaranteed way. The approach proposed in this paper does not make any assumptions about the probability distribution of the measurements and does not require any probabilistic methods for feature detection. The SLAM problem is solved in a guaranteed way by purely using only interval methods.
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保证SLAM -一个纯间隔方法
本文提出了一种新的同时定位和映射(SLAM)方法,该方法考虑了2D激光雷达传感器提供的所有测量数据,并产生了一个约束满足问题(CSP)。采用区间法对CSP进行求解,保证了CSP的稳定性。本文提出的方法不需要对测量值的概率分布做任何假设,也不需要任何概率方法进行特征检测。仅使用区间方法可以保证地解决SLAM问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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