activity
20202025
most citedAttitude Reconstruction from Inertial Measurement: Mitigating Runge Effect for Dynamic Applications

6 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY2025

CT-ESKF: A General Framework of Covariance Transformation-Based Error-State Kalman Filter

Jiale Han, Wei Ouyang, Maoran Zhu +1

Invariant extended Kalman filter (InEKF) possesses excellent trajectory-independent property and better consistency compared to conventional extended Kalman filter (EKF). However,…

cs.RO2024

An Immediate Update Strategy of Multi-State Constraint Kalman Filter

Qingchao Zhang, Wei Ouyang, Jiale Han +3

The lightweight Multi-state Constraint Kalman Filter (MSCKF) has been well-known for its high efficiency, in which the delayed update has been usually adopted since its proposal. T…

eess.SY2022

iNavFIter-M: Matrix Formulation of Functional Iteration for Inertial Navigation Computation

Hongyan Jiang, Maoran Zhu, Yanyan Fu +1

The acquisition of attitude, velocity, and position is an essential task in the field of inertial navigation, achieved by integrating the measurements from inertial sensors. Recent…

cs.RO20216 cited

Attitude Reconstruction from Inertial Measurement: Mitigating Runge Effect for Dynamic Applications

Yuanxin Wu, Maoran Zhu

Time-equispaced inertial measurements are practically used as inputs for motion determination. Polynomial interpolation is a common technique of recovering the gyroscope signal but…

cs.HC2020

f2IMU-R: Pedestrian Navigation by Low-cost Foot-Mounted Dual IMUs and Inter-foot Ranging

Maoran Zhu, Yuanxin Wu, Shitu Luo

Foot-mounted inertial sensors become popular in many indoor or GPS-denied applications, including but not limited to medical monitoring, gait analysis, soldier and first responder…