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

机译:基于离散扩展卡尔曼滤波器的里程表和激光扫描仪融合,用于机器人排制导

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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.
机译:本文介绍了一种相对的定位系统,用于在室内环境中实现机器人单元车队的导航。该定位系统是通过融合两个感官源来执行的:(a)测距系统和(b)激光扫描仪以及位于设备顶部的人工地标。激光源可以补偿死角复归所固有的累积误差。里程计源在短轨迹中提供较少的姿态不确定性。为了在实时约束下实现这一目标,使用了为此应用定制的离散扩展卡尔曼滤波器。显示了使用Pioneer P3-DX车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测距传感器的简单设置能够为室内应用护卫舰的相对定位问题提供高度的鲁棒性和准确性。

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