Abstract Visual Simultaneous Localization and Mapping (VSLAM) technology has become a
key technology in autonomous driving and robot navigation. Relying on camera sensors …

Unlike loose coupling approaches and the EKF-based approaches in the literature, we
propose an optimization-based visual-inertial SLAM tightly coupled with raw Global …

This paper proposes G-VIDO, a vehicle dynamics, and intermittent Global Navigation
Satellite System (GNSS)-aided visual-inertial state estimator, to address the state estimation …

In this paper, we introduce a novel visual-inertial-wheel odometry (VIWO) system for ground
vehicles, which efficiently fuses multi-modal visual, inertial and 2D wheel odometry …

In this article, a resilient tightly coupled ultra-wideband (UWB) visual–inertial indoor
localization system (R-UVIS) is developed to obtain accurate and robust localization …

In the article, we focus on the robustness of monocular visual-inertial-wheel odometry
(VIWO) in urban environments. In the urban environment, the rapid changes in terrain and …

This paper presents a panoramic visual-inertial simultaneous localization and mapping
(SLAM) system that is tightly coupled with a wheel encoder, which can be used in a mobile …

GNSS/IMU/in-vehicle sensors navigation can provide accurate localization for land vehicles.
Although the sensor fusion is often carried out by Kalman filter, graph optimization can …

This article introduces visual-depth-inertial-wheel odometry (VDIWO), a robust approach for
real-time localization of mobile robots in indoor and outdoor scenarios. Notably, VDIWO …

Robust multisensor fusion of multi-modal measurements such as IMUs, wheel encoders,
cameras, LiDARs, and GPS holds great potential due to its innate ability to improve …