Wheel-GINS: A GNSS/INS Integrated Navigation System with a Wheel-mounted IMU

TL;DR

Wheel-GINS is a GNSS/INS integrated navigation system that uses a wheel-mounted IMU to achieve long-term accurate localization for mobile robots, effectively handling GNSS outages and estimating installation parameters online.

Contribution

The paper introduces Wheel-GINS, a novel GNSS/INS system that integrates a Wheel-IMU with online estimation of installation parameters to improve long-term localization accuracy.

Findings

Outperforms traditional systems during GNSS outages

Effectively estimates wheel-IMU installation parameters online

Enhances localization accuracy and system practicality

Abstract

A long-term accurate and robust localization system is essential for mobile robots to operate efficiently outdoors. Recent studies have shown the significant advantages of the wheel-mounted inertial measurement unit (Wheel-IMU)-based dead reckoning system. However, it still drifts over extended periods because of the absence of external correction signals. To achieve the goal of long-term accurate localization, we propose Wheel-GINS, a Global Navigation Satellite System (GNSS)/inertial navigation system (INS) integrated navigation system using a Wheel-IMU. Wheel-GINS fuses the GNSS position measurement with the Wheel-IMU via an extended Kalman filter to limit the long-term error drift and provide continuous state estimation when the GNSS signal is blocked. Considering the specificities of the GNSS/Wheel-IMU integration, we conduct detailed modeling and online estimation of the Wheel-IMU installation parameters, including the Wheel-IMU leverarm and mounting angle and the wheel radius error. Experimental results have shown that Wheel-GINS outperforms the traditional GNSS/Odometer/INS integrated navigation system during GNSS outages. At the same time, Wheel-GINS can effectively estimate the Wheel-IMU installation parameters online and, consequently, improve the localization accuracy and practicality of the system. The source code of our implementation is publicly available (https://github.com/i2Nav-WHU/Wheel-GINS).