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基于离散扩展卡尔曼滤波器的机器人编队制导的里程计和激光扫描仪融合。

Odometry and laser scanner fusion based on a discrete extended Kalman Filter for robotic platooning guidance.

机构信息

Electronics Department, Higher Polytechnic School, University of Alcala, Alcalá de Henares 28805 Madrid, Spain.

出版信息

Sensors (Basel). 2011;11(9):8339-57. doi: 10.3390/s110908339. Epub 2011 Aug 29.

Abstract

This paper describes a relative localization system used to achieve the navigation of a convoy of robotic units in indoor environments. This positioning system is carried out fusing two sensorial sources: (a) an odometric system and (b) a laser scanner together with artificial landmarks located on top of the units. The laser source allows one to compensate the cumulative error inherent to dead-reckoning; whereas the odometry source provides less pose uncertainty in short trajectories. A discrete Extended Kalman Filter, customized for this application, is used in order to accomplish this aim under real time constraints. Different experimental results with a convoy of Pioneer P3-DX units tracking non-linear trajectories are shown. The paper shows that a simple setup based on low cost laser range systems and robot built-in odometry sensors is able to give a high degree of robustness and accuracy to the relative localization problem of convoy units for indoor applications.

摘要

本文描述了一种相对定位系统,用于实现室内环境中机器人编队的导航。该定位系统融合了两种传感器源:(a)里程计系统和(b)激光扫描仪以及位于单元顶部的人工地标。激光源允许补偿固有于航位推算的累积误差;而里程计源则在短轨迹中提供较小的姿态不确定性。为了在实时约束下实现这一目标,使用了针对此应用定制的离散扩展卡尔曼滤波器。展示了使用 Pioneer P3-DX 单元编队跟踪非线性轨迹的不同实验结果。本文表明,基于低成本激光测距系统和机器人内置里程计传感器的简单设置能够为室内应用中的编队单元的相对定位问题提供高度的鲁棒性和准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3890/3231507/a8351fbb8aac/sensors-11-08339f1.jpg

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