Unmanned ground vehicle positioning system by GPS/dead-reckoning/IMU sensor fusion

被引:0
|
作者
Zhang, Meng [1 ]
Liu, Ke [1 ]
Li, Chen [2 ]
机构
[1] State Grid Shandong Elect Power Res Inst, Jinan 250003, Shandong, Peoples R China
[2] State Grid Qihe Power Supply Co, Qihe 251100, Shandong, Peoples R China
关键词
Unmanned Vehicle; Kalman Filter; GPS/IMU; DR;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Real-time positioning system is critical for control and navigation of unmanned ground vehicles. In this paper, we present a low-cost integrated GPS/DR/IMU positioning solution. A two-level adaptive Kalman Filter based algorithm is introduced to fuse sensor signals. Experimental results demonstrate a much better performance with accurate and robustness output even during short-time GPS signal drop-out.
引用
收藏
页码:737 / 747
页数:11
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