Instituto de Automatica, National University of San Juan, Av. Libertador Gral. San Martin 1109 Oeste, J5400ARL San Juan, Argentina.
Sensors (Basel). 2011;11(2):2035-55. doi: 10.3390/s110202035. Epub 2011 Feb 10.
In this work, a comparative study between an Ultra Wide-Band (UWB) localization system and a Simultaneous Localization and Mapping (SLAM) algorithm is presented. Due to its high bandwidth and short pulses length, UWB potentially allows great accuracy in range measurements based on Time of Arrival (TOA) estimation. SLAM algorithms recursively estimates the map of an environment and the pose (position and orientation) of a mobile robot within that environment. The comparative study presented here involves the performance analysis of implementing in parallel an UWB localization based system and a SLAM algorithm on a mobile robot navigating within an environment. Real time results as well as error analysis are also shown in this work.
在这项工作中,提出了一种超宽带 (UWB) 定位系统和同时定位与地图构建 (SLAM) 算法之间的比较研究。由于其高带宽和短脉冲长度,UWB 有可能基于到达时间 (TOA) 估计实现高精度的距离测量。SLAM 算法递归地估计环境的地图以及该环境内移动机器人的位置(位置和方向)。这里提出的比较研究涉及在移动机器人在环境中导航时并行实现基于 UWB 定位的系统和 SLAM 算法的性能分析。本文还展示了实时结果和误差分析。