An Extended Kalman Filter and Back Propagation Neural Network Algorithm Positioning Method Based on Anti-lock Brake Sensor and Global Navigation Satellite System Information
نویسندگان
چکیده
منابع مشابه
Mobile Robot Navigation Error Handling Using an Extended Kalman Filter
Obviously navigation is one of the most complicated issues in mobile robots. Intelligent algorithms are often used for error handling in robot navigation. This Paper deals with the problem of Inertial Measurement Unit (IMU) error handling by using Extended Kalman Filter (EKF) as an Expert Algorithms. Our focus is put on the field of mobile robot navigation in the 2D environments. The main chall...
متن کاملMobile Robot Navigation Error Handling Using an Extended Kalman Filter
Obviously navigation is one of the most complicated issues in mobile robots. Intelligent algorithms are often used for error handling in robot navigation. This Paper deals with the problem of Inertial Measurement Unit (IMU) error handling by using Extended Kalman Filter (EKF) as an Expert Algorithms. Our focus is put on the field of mobile robot navigation in the 2D environments. The main chall...
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The purpose of this paper is to improve accuracy of robot’s navigation. It is difficult to estimate robot’s position by only odometry. To correct robot’s position uncertainty, we adapt the extended kalman filter to the robot. And to enhance accuracy of robot navigation, we build an indoor global positioning system.
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The application of the divided derivative filters is described, applied and compared to the most popular tool in estimation , the extended Kalman filter (EKF). In our work the first order divided difference filter and the second order divided difference filter were simulated and applied to integrated navigation system including inertial measurement unit (i) and global positioning system. These ...
متن کاملmobile robot navigation error handling using an extended kalman filter
obviously navigation is one of the most complicated issues in mobile robots.intelligent algorithms are often used for error handling in robot navigation. thispaper deals with the problem of inertial measurement unit (imu) error handling byusing extended kalman filter (ekf) as an expert algorithms. our focus is put onthe field of mobile robot navigation in the 2d environments. the main challenge...
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ژورنال
عنوان ژورنال: Sensors
سال: 2018
ISSN: 1424-8220
DOI: 10.3390/s18092753