Selfalignment procedure for IMU in automotive context In this paper a method for IMU and MARG alignment in two wheeled vehicles suspension control system is presented. Nowadays, the initial alignment of the device with respect to the vehicle frame is obtained thanks to algorithms available in literature based on the estimation of the attitude and simple geometrical rules to determine. However, these classical procedures do not allow to obtain a precise measurement of the initial device attitude. The proposed method aims to fuse data between classical methods results and GPSGNSS signals to improve the existing methodologies. The algorithm has been implemented on a low cost platform to demonstrate its feasibility and it has been tested on a motorcycle during real ride conditions. The performed experiments have demonstrated the repeatability of the procedures and its high accuracy.

AutoCorrection of 3DOrientation of IMUs on Electric Bicycles xe2x80xa0 The application of inertial measurement units (IMU) in electronically powerassisted cycles (EPACs) has become increasingly important for improving their functionalities. One central issue of such an application is to calibrate the orientation of the IMU on the EPAC. The approach presented in this paper utilizes common bicycling motions to calibrate the 2D and 3Dmounting orientation of a microelectromechanical system (MEMS) IMU on an electric bicycle. The method is independent of sensor biases and requires only a very low computation expense and, thus, the estimation can be realized in realtime. In addition, the acceleration biases are estimated using a barometric pressure sensor. The experimental results show high accuracy of the calibrated orientation and estimated sensor biases.