Go-ino: graph optimization mems-imu/nhc/odometer integration for ground vehicle positioning

HIGHLIGHTS

  • who: Kai Zhu and collaborators from the School of Automobile and Traffic Engineering, Jiangsu University of Technology, Changzhou, China have published the research work: GO-INO: Graph Optimization MEMS-IMU/NHC/Odometer Integration for Ground Vehicle Positioning, in the Journal: Micromachines 2022, 13, x FOR PEER REVIEW of /2022/
  • what: In this experiment, the GNSS receiver was developed by the authors with DSP + FPGA and C++ programming language.
  • how: An autoregressive moving average model (ARMA) method was employed in estimating and modeling the IMU noises . To assess the performance of the proposed method . . .

     

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