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Calibration of Kinematic Parameters of a Car-Like Mobile Robot to Improve Odometry Accuracy

机译:校准汽车样移动机器人的运动参数,提高了内径测量精度

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Recently, automatic parking assist systems have become commercially available in some cars. In order to improve the reliability and accuracy of parking control, pose estimation problem needs to be solved. Odometry is widely used for pose estimation of a mobile robot. However, most previous odometry calibration methods have focused on two wheeled mobile robots. In this paper, we consider systematic error sources of the Car-Like Mobile Robot (CLMR), and we suggest a useful calibration method for systematic errors. Finally, our calibration method is verified by experiments using a miniature car.
机译:最近,自动停车辅助系统已在某些汽车中商购获得。为了提高停车控制的可靠性和准确性,需要解决姿态估计问题。 Odometry广泛用于移动机器人的姿势估计。然而,最先前的内径校准方法集中在两个轮式移动机器人上。在本文中,我们考虑了汽车状移动机器人(CLMR)的系统错误来源,我们建议了一种有用的校准方法,用于系统错误。最后,我们的校准方法通过使用微型汽车进行实验来验证。

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