Amirsadri, Ashkan; Kim, Jonghyuk; Petersson, Lars; Trumpf, Jochen
This paper addresses the theoretical and experimental development of a calibration scheme to overcome the intrinsic limitations of a low-cost Micro-Electrical-Mechanical System (MEMS) based Inertial Measurement Unit (IMU). The two-stage calibration algorithm was developed and tested successfully on a six-degree of freedom prototype MEMS IMU to determine the deterministic and stochastic errors of the sensor. This paper makes use of artificial observations known as pseudo-velocity measurements...[Show more]
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