基于视觉量角计的航迹修正算法

Visual Protractor Based Track Correction

  • 摘要: 提出了一种新的将视觉信息和里程计数据相融合的方法.首先,介绍了视觉量角计的思想,进而利用卡尔曼滤波的方法将视觉信息与码盘信息相融合,对依靠码盘得到的航迹进行了修正.实验表明该方法能有效提高机器人定位精度.

     

    Abstract: This paper describes a new way to fuse vision information and odometry data.First the idea of visual protractor is introduced,then a Kalman filtering method is used to fuse visual information with encoder information to correct the mobile robot tracks obtained with encoder.Experiment results show that this method can improve the precision of robot localization greatly.

     

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