GNSS/Multi-Sensor Fusion Using Continuous-Time Factor Graph Optimization for Robust Localization

H Zhang, CC Chen, H Vallery, TD Barfoot - arXiv preprint arXiv …, 2023 - arxiv.org
Accurate and robust vehicle localization in highly urbanized areas is challenging. Sensors
are often corrupted in those complicated and large-scale environments. This paper …

onlineFGO: Online Continuous-Time Factor Graph Optimization with Time-Centric Multi-Sensor Fusion for Robust Localization in Large-Scale Environments

H Zhang, F Widmayer, L Lünnemann… - arXiv preprint arXiv …, 2022 - arxiv.org
Accurate and consistent vehicle localization in urban areas is challenging due to the large-
scale and complicated environments. In this paper, we propose onlineFGO, a novel time …

GNSS/IMU/LiDAR fusion for vehicle localization in urban driving environments within a consensus framework

L Gao, X Xia, Z Zheng, J Ma - Mechanical Systems and Signal Processing, 2023 - Elsevier
The continuous, reliable, and accurate acquisition of position information is a fundamental
requirement for autonomous vehicles. It underpins perception, decision-making, and …

FGO-MFI: factor graph optimization-based multi-sensor fusion and integration for reliable localization

J Zhu, G Zhuo, X Xia, W Wen, L Xiong… - Measurement …, 2024 - iopscience.iop.org
Reliable and precise information pertaining to the position, velocity, and attitude is essential
for automated driving. This paper proposes FGO-MFI, a cost-effective and robust multi …

Factor graph fusion of raw GNSS sensing with IMU and lidar for precise robot localization without a base station

J Beuchert, M Camurri, M Fallon - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Accurate localization is a core component of a robot's navigation system. To this end, global
navigation satellite systems (GNSS) can provide absolute measurements outdoors and …

Incremental hopping-window pose-graph fusion for real-time vehicle localization

A Das, G Dubbelman - 2019 IEEE 89th Vehicular Technology …, 2019 - ieeexplore.ieee.org
In this work, we research and evaluate incremental hopping-window pose-graph fusion
strategies for vehicle localization. Pose-graphs can model multiple absolute and relative …

Robust and precise vehicle localization based on multi-sensor fusion in diverse city scenes

G Wan, X Yang, R Cai, H Li, Y Zhou… - … on robotics and …, 2018 - ieeexplore.ieee.org
We present a robust and precise localization system that achieves centimeter-level
localization accuracy in disparate city scenes. Our system adaptively uses information from …

GLIO: Tightly-coupled GNSS/LiDAR/IMU integration for continuous and drift-free state estimation of intelligent vehicles in urban areas

X Liu, W Wen, LT Hsu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Intelligent vehicles demand reliable, continuous, and accurate positioning capability. Light
Detection and Ranging (LiDAR)-inertial odometry (LIO) provides precise continuous relative …

A measurement scheduling method for multi-vehicle cooperative localization considering state correlation

H Min, Y Li, X Wu, W Wang, L Chen, X Zhao - Vehicular Communications, 2023 - Elsevier
Accurate and robust localization is a fundamental requirement for safe autonomous driving.
Currently, most vehicles rely on single-vehicle localization (SVL) using the global navigation …

Improved Multi-sensor Fusion Positioning System Based on GNSS/LiDAR/Vision/IMU with Semi-tightly Coupling and Graph Optimization in GNSS Challenging …

J Zhu, H Zhou, Z Wang, S Yang - IEEE Access, 2023 - ieeexplore.ieee.org
With the development of autonomous driving, precise positioning capabilities are becoming
increasingly important. GNSS (Global Navigation Satellite System) is normally utilized for …