Brake Detection for Electric Bicycles using Inertial Measurement Units

Schnee, Jan; Stegmaier, Jürgen; Lipowsky, Tobias; Li, Pu

doi:10.1109/sas.2019.8706001

Cited by 2 publications

(1 citation statement)

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“…Applications of inertial measurement units (IMUs) usually need information about the relationship between the device and the sensor, which depends on the mounting orientation. Based on this mounting orientation, it is possible to estimate the attitude of the device or vehicle [1], to implement strap-down-algorithms [2], and to analyze the direction of the motion and acceleration [3]. In some smartphones, for example, the relation between the two coordinate systems is obtained by placing the sensors in alignment with the device coordinate system [4].…”

Section: Introductionmentioning

confidence: 99%

Auto-Correction of 3D-Orientation of IMUs on Electric Bicycles

Schnee

Stegmaier

Lipowsky

et al. 2020

Sensors

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The application of inertial measurement units (IMU) in electronically power-assisted 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 3D-mounting orientation of a micro-electro-mechanical 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 real-time. 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.

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Section: Introductionmentioning

confidence: 99%