Odometry and Laser Scanner Fusion Based on a Discrete Extended Kalman Filter for Robotic Platooning Guidance

被引:24
作者
Espinosa, Felipe [1 ]
Santos, Carlos [1 ]
Marron-Romera, Marta [1 ]
Pizarro, Daniel [1 ]
Valdes, Fernando [1 ]
Dongil, Javier [1 ]
机构
[1] Univ Alcala de Henares, Higher Polytech Sch, Dept Elect, Madrid 28805, Spain
关键词
Kalman filter; sensor fusion; intelligent robots; data processing; robot control; laser application; dead reckoning; state estimation; multirobot system; robot sensing system; MOBILE; LOCALIZATION;
D O I
10.3390/s110908339
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页码:8339 / 8357
页数:19
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