机器人IMU与激光扫描测距传感器数据融合

DATA FUSION METHOD OF ROBOT IMU AND LASER RANGE FINDER BASED ON SYNCHRONIZED SCANNER

摘要: 本文较详细的介绍了如何利用卡尔曼滤波技术来实现机器人IMU与激光扫描测距传感器之间的数据融合方法，提出了一种新的扫描测距传感器的数学模型，使之能应用卡尔曼滤波的算法，以便得到更准确的距离信息．

Abstract: In this paper, we introduce a data fusion method applying Kalman filter on Robot IMU and laser range finder based on synchronized scanner. To use Kalman filter, the paper presents a-ew math model of this kind laser range finder.