Yuxuan Zhou
Orcid: 0000-0002-5261-0009Affiliations:
- Wuhan University, School of Geodesy and Geomatics, China
According to our database1,
Yuxuan Zhou
authored at least 23 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment With Multiple Sensors for Large-Scale Localization and Mapping.
IEEE Robotics Autom. Lett., July, 2024
River: A Tightly-Coupled Radar-Inertial Velocity Estimator Based on Continuous-Time Optimization.
IEEE Robotics Autom. Lett., July, 2024
GNSS-Based Cooperative Instantaneous Precise Positioning Aided by Multi-Epoch and Multi-Agent Associations.
IEEE Trans. Veh. Technol., June, 2024
Targetless Spatiotemporal Calibration of Multi-LiDAR Multi-IMU System Based on Continuous-Time Optimization.
IEEE Trans. Ind. Informatics, May, 2024
An Optimization-Based Tightly-Coupled Integration of PPP, INS and Vision for Precise and Continuous Navigation.
IEEE Trans. Veh. Technol., April, 2024
Accuracy- and Simplicity-Oriented Self-Calibration Approach for In-Vehicle GNSS/INS/Vision System With Observability Analysis.
IEEE Trans. Intell. Transp. Syst., March, 2024
Two-Step LiDAR/Camera/IMU Spatial and Temporal Calibration Based on Continuous-Time Trajectory Estimation.
IEEE Trans. Ind. Electron., March, 2024
A Failure-Resistant, Lightweight, and Tightly Coupled GNSS/INS/Vision Vehicle Integration for Complex Urban Environments.
IEEE Trans. Instrum. Meas., 2024
Precise and Robust IMU-Centric Vehicle Navigation via Tightly Integrating Multiple Homogeneous GNSS Terminals.
IEEE Trans. Instrum. Meas., 2024
2023
Enhancing RTK Performance in Urban Environments by Tightly Integrating INS and LiDAR.
IEEE Trans. Veh. Technol., August, 2023
Continuous Decimeter-Level Positioning in Urban Environments Using Multi-Frequency GPS/BDS/Galileo PPP/INS Tightly Coupled Integration.
Remote. Sens., April, 2023
A High-Precision Vehicle Navigation System Based on Tightly Coupled PPP-RTK/INS/Odometer Integration.
IEEE Trans. Intell. Transp. Syst., February, 2023
Consistent Localization for Autonomous Robots With Inter-Vehicle GNSS Information Fusion.
IEEE Commun. Lett., January, 2023
GIVE: A Tightly Coupled RTK-Inertial-Visual State Estimator for Robust and Precise Positioning.
IEEE Trans. Instrum. Meas., 2023
Targetless Extrinsic Calibration of LiDAR-IMU System Using Raw GNSS Observations for Vehicle Applications.
IEEE Trans. Instrum. Meas., 2023
VIMOT: A Tightly Coupled Estimator for Stereo Visual-Inertial Navigation and Multiobject Tracking.
IEEE Trans. Instrum. Meas., 2023
Targetless Spatiotemporal Calibration for Multiple Heterogeneous Cameras and IMUs Based on Continuous-Time Trajectory Estimation.
IEEE Trans. Instrum. Meas., 2023
Multi-GNSS PPP/INS/Vision/LiDAR tightly integrated system for precise navigation in urban environments.
Inf. Fusion, 2023
Ground-VIO: Monocular Visual-Inertial Odometry with Online Calibration of Camera-Ground Geometric Parameters.
CoRR, 2023
2022
Using a Moving Antenna to Improve GNSS/INS Integration Performance Under Low-Dynamic Scenarios.
IEEE Trans. Intell. Transp. Syst., 2022
Visual Mapping and Localization System Based on Compact Instance-Level Road Markings With Spatial Uncertainty.
IEEE Robotics Autom. Lett., 2022
Continuous and Precise Positioning in Urban Environments by Tightly Coupled Integration of GNSS, INS and Vision.
IEEE Robotics Autom. Lett., 2022
Tightly Coupled Integration of GNSS, INS, and LiDAR for Vehicle Navigation in Urban Environments.
IEEE Internet Things J., 2022