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ApplicationsoftheKalmanFilterslgorithmtorobotloca
- To model the robot position we wish to know its x and y coordinates and its orientation. These three parameters can be combined into a vector called a state variable vector. The robot uses beacon distance and angle measurements and locomotion i
EKFslamppt
- 一个详细讲述卡尔曼滤波的ppt,通过它可以学习有关卡尔曼滤博,和机器人自主定位的知识- Kalman filter detailed ppt, through which you can learn more about Bo Kalman filter, and knowledge of robot autonomous localization