首页> 外文会议>International offshore and polar engineering conference;ISOPE-2009 >Underwater Vehicle Motion Parameters Estimation Simulation and Experiment Based on Monocular Vision and Low Cost Inertial Measurement Unit
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Underwater Vehicle Motion Parameters Estimation Simulation and Experiment Based on Monocular Vision and Low Cost Inertial Measurement Unit

机译:基于单目视觉和低成本惯性测量单元的水下航行器运动参数估计仿真与实验

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In this paper, authors proposed a practical motion estimation strategyto obtain the single static object position and the vehicle's motionparameters simultaneously by utilizing camera and IMU (InertialMeasurement Unit), and tried several classic nonlinear parametersestimation methods on this problem based on the Matlab simulation. Alot of preliminary calibration experiments have been done to fuse thedata from IMU and camera, which included: camera calibration, IMUerror modeling, and relative attitude calibration between IMU andcamera. The obtaining of sensor's model made the simulation work bepossible, and the PF algorithm can track the vehicle's motionparameters and obtain the target position very well. The accuracy iscentimeter level.
机译:在本文中,作者提出了一种实用的运动估计策略,即利用相机和IMU(惯性测量单元)同时获得单个静态物体的位置和车辆的运动参数,并在Matlab仿真的基础上尝试了几种经典的非线性参数估计方法。为了融合来自IMU和相机的数据,已经进行了许多初步的校准实验,包括:相机校准,IMU错误建模以及IMU和相机之间的相对姿态校准。传感器模型的获得使仿真工作成为可能,并且PF算法可以跟踪车辆的运动参数并很好地获得目标位置。精度为厘米级别。

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