Unlike the conventional odometer-aided inertial navigation system (ODO/INS) where the IMU is always placed either on the vehicle body or in the coach, in Wheel-INS, the IMU is mounted on the wheel of the ground vehicle. There are two major advanatges by doing so: 1) the wheel velocity can be obtained by the Wheel-IMU thus replace the traditional odometer (or wheel encoder); 2) the rotation modulation can be leveraged to mitigate the error accumulation of INS. Particularly, the wheel velocity calculated by the gyroscope outputs and the wheel radius is treated as an external observation with non-holonomic constraint (NHC) to fuse with INS through an extended Kalman filter (EKF).
The source code is in the Wheel-INS folder. It is very consice and light-weight which can be run easily in Windows (Some incompatibility issues should be solved for running in Linux). It does not rely on any third-party libraries.(We only use OpenCV to read configure file.)
Two sets of example data with ground truth are also provided (see Data folder). Please refer to the ReadMe.pdf for details. If git clone is too slow, please try to download the .zip file directly.
X. Niu, Y. Wu and J. Kuang, "Wheel-INS: A Wheel-mounted MEMS IMU-based Dead Reckoning System," IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2021.3108008. (pdf) (IEEE Xplore)
Y. Wu, X. Niu and J. Kuang, "A Comparison of Three Measurement Models for the Wheel-mounted MEMS IMU-based Dead Reckoning System," IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2021.3102409. (pdf) (IEEE Xplore)
Y. Wu, J. Kuang and X. Niu, "Wheel-INS2: Multiple MEMS IMU-based Dead Reckoning System for Wheeled Robots with Evaluation of Different IMU Configurations," arXiv:2012.10593, 2020. (pdf)
If you find our code and/or dataset helpful to your academic research, please consider citing the related papers.
For any questions, please feel free to contact Mr. Yibin Wu ([email protected]) or Dr. Jian Kuang ([email protected]).