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The Correcting Approach of Gyroscope-Free Inertial Navigation Based on the Applicable Topological Map

机译:基于适用拓扑图的无陀螺惯性导航校正方法

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The accumulated error and noise sensitivity are the two common problems of ordinary inertial sensors. An accurate gyroscope is too expensive, which is not normally applicable in low-cost missions of mobile robots. Since the accelerometers are rather cheaper than similar types of gyroscopes, using redundant accelerometers could be considered as an alternative. This mechanism is called gyroscope-free navigation. The article deals with autonomous mobile robot (AMR) navigation based on gyroscope-free method. In this research, the navigation errors of the gyroscope-free method in long-time missions are demonstrated. To compensate the position error, the aid information of low-cost stereo cameras and a topological map of the workspace are employed in the navigation system. After precise sensor calibration, an amendment algorithm is presented to fuse the measurement of gyroscope-free inertial measurement unit (GFIMU) and stereo camera observations. The advantages and comparisons of vision aid navigation and gyroscope-free navigation of mobile robots will be also discussed. The experimental results show the increasing accuracy in vision-aid navigation of mobile robot.
机译:累积的误差和噪声灵敏度是普通惯性传感器的两个常见问题。精确的陀螺仪过于昂贵,通常不适用于移动机器人的低成本任务。由于加速度计比类似类型的陀螺仪便宜得多,因此可以考虑使用冗余加速度计。这种机制称为无陀螺仪导航。本文讨论了基于无陀螺仪方法的自主移动机器人(AMR)导航。在这项研究中,证明了在长时间任务中无陀螺仪方法的导航误差。为了补偿位置误差,在导航系统中采用了低成本立体摄像机的辅助信息和工作空间的拓扑图。经过精确的传感器校准后,提出了一种修正算法,以融合无陀螺仪惯性测量单元(GFIMU)和立体摄像机观测值的测量结果。还将讨论移动机器人的视觉辅助导航和无陀螺仪导航的优势和比较。实验结果表明,移动机器人视觉辅助导航的准确性不断提高。

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