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A Comparison of Three Measurement Models for the Wheel-Mounted MEMS IMU-Based Dead Reckoning System

Yibin Wu, Xiaoji Niu, Jian Kuang

2021IEEE Transactions on Vehicular Technology29 citationsDOI

Abstract

A self-contained autonomous dead reckoning (DR) system is desired to complement the Global Navigation Satellite System (GNSS) for land vehicles, for which the odometer-aided inertial navigation system (ODO/INS) is a classical solution. In this study, we use a wheel-mounted MEMS IMU (Wheel-IMU) to substitute the odometer, and further, investigate three types of measurement models, including the velocity measurement, displacement increment measurement, and contact point zero-velocity measurement, in the Wheel-IMU based DR system. The measurement produced by the Wheel-IMU along with the non-holonomic constraint (NHC) are fused with INS through an error-state extended Kalman filter (EKF). Theoretical discussion and field tests illustrate the feasibility and equivalence of the three measurements in terms of the overall DR performance. The maximum horizontal position drifts are all less than 2% of the total travelled distance. Additionally, the displacement increment measurement model is less sensitive to the lever arm error between the Wheel-IMU and the wheel center.

Topics & Concepts

OdometerInertial measurement unitDead reckoningExtended Kalman filterAccelerometerDisplacement (psychology)Inertial navigation systemKalman filterEngineeringControl theory (sociology)Computer scienceSimulationComputer visionGlobal Positioning SystemArtificial intelligenceInertial frame of referencePhysicsControl (management)PsychologyQuantum mechanicsPsychotherapistTelecommunicationsOperating systemIndoor and Outdoor Localization TechnologiesInertial Sensor and NavigationTarget Tracking and Data Fusion in Sensor Networks
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