Autors: Miletiev, R. M., Kapanakov, P. K., Emil Iontchev., Lachezar Hristov.
Title: Sensor data fusion for determine object position
Keywords: accelerometer, gyroscope, magnetometer, Kalman filter

Abstract: The paper represents the algorithm which combines the sensor data to determine the object position in the space by Extended Kalman Filter (EKF). Two different filters are proposed – nonlinear Kalman filter and linear one with quaternions. Also the algorithm for rejection of the external magnetic disturbances is chosen to correct the magnetometer data. Another low-pass filter is applied to the accelerometer data. The proposed algorithms are tested on stationary and moving platforms to calculate the rotation angles of the kid car seat

References

    Issue

    54-th INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION, COMMUNICATION AND ENERGY SYSTEMS AND TECHNOLOGIES (ICEST 2019), vol. 1, pp. 364, 2019, Macedonia, ISBN ISSN: 2603-32

    Вид: постер/презентация в международен форум, публикация в реферирано издание