2020
DOI: 10.1109/access.2020.2988601
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Multiple Inertial Measurement Units–An Empirical Study

Abstract: An inertial navigation system is commonly used in various marine platforms above and below the sea surface to calculate the position, velocity and orientation of its carrier platform. Such systems contain an inertial measurement unit (IMU) to measure the specific force and angular velocity which in turn are integrated to obtain the navigation state. Due to sensor noises and other error terms, the navigation solution drifts in time. In situations of pure inertial navigation (no external aiding), multiple IMUs (… Show more

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Cited by 14 publications
(3 citation statements)
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“…The MPU-6050 devices integrate a 3-axis gyroscope and 3-axis accelerometer onto a single silicon chip, along with an integrated digital motion processor™ (DMP™) [23]. The DMP™ handles intricate 6-axis MotionFusion algorithms, measuring angle and acceleration values in three orthogonal directions [24], [25]. Kalman filters are used to remove electrical noise and sensor artifacts from the resulting signal [26].…”
Section: The Sensor System Equipped With An Integrated Technical Diag...mentioning
confidence: 99%
“…The MPU-6050 devices integrate a 3-axis gyroscope and 3-axis accelerometer onto a single silicon chip, along with an integrated digital motion processor™ (DMP™) [23]. The DMP™ handles intricate 6-axis MotionFusion algorithms, measuring angle and acceleration values in three orthogonal directions [24], [25]. Kalman filters are used to remove electrical noise and sensor artifacts from the resulting signal [26].…”
Section: The Sensor System Equipped With An Integrated Technical Diag...mentioning
confidence: 99%
“…The VIMU fusion method is relatively lightweight computationally and can easily be incorporated into existing VIO systems built around a single IMU. The measurement streams are generally combined using least squares estimation or an average weighted by the inverse of noise [8]. While computationally efficient, these systems typically require consistent and synchronized IMU, so therefore cannot benefit from ad hoc sensor additions.…”
Section: Related Workmentioning
confidence: 99%
“…Over the past decade, a growing body of literature has explored the advantages of employing multiple MEMS-IMUs for various INS tasks. Notable works include data fusion [4][5][6][7][8], pedestrian navigation [9][10][11][12], activity recognition [13][14][15], integration with GNSS [16,17], sensor arrays [18][19][20][21], and lately also self-calibration [22][23][24]. In this work we develop a simplified system model, with a new perspective on the error relationship to time, and number of sensors.…”
Section: Introductionmentioning
confidence: 99%