Takip et
Wang Xuanbin
Wang Xuanbin
whu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Semi-tightly coupled integration of multi-GNSS PPP and S-VINS for precise positioning in GNSS-challenged environments
X Li, X Wang, J Liao, X Li, S Li, H Lyu
Satellite Navigation 2, 1-14, 2021
752021
Enhancing navigation performance through visual-inertial odometry in GNSS-degraded environment
J Liao, X Li, X Wang, S Li, H Wang
Gps Solutions 25, 1-18, 2021
552021
GIL: A tightly coupled GNSS PPP/INS/LiDAR method for precise vehicle navigation
X Li, H Wang, S Li, S Feng, X Wang, J Liao
Satellite navigation 2, 1-17, 2021
532021
Continuous and precise positioning in urban environments by tightly coupled integration of GNSS, INS and vision
X Li, S Li, Y Zhou, Z Shen, X Wang, X Li, W Wen
IEEE Robotics and Automation Letters 7 (4), 11458-11465, 2022
312022
Accurate and automatic extrinsic calibration for a monocular camera and heterogenous 3D LiDARs
X Li, F He, S Li, Y Zhou, C Xia, X Wang
IEEE Sensors Journal 22 (16), 16472-16480, 2022
272022
FGO-GIL: Factor graph optimization-based GNSS RTK/INS/LiDAR tightly coupled integration for precise and continuous navigation
X Li, H Yu, X Wang, S Li, Y Zhou, H Chang
IEEE Sensors Journal 23 (13), 14534-14548, 2023
242023
Online visual-inertial extrinsic calibration utilizing GNSS measurements for vehicle applications
Y Zhou, S Li, C Xia, Z Shen, X Wang, X Li
IEEE Sensors Journal 22 (5), 4545-4557, 2022
192022
GIVE: A tightly coupled RTK-inertial–visual state estimator for robust and precise positioning
X Wang, X Li, H Chang, S Li, Z Shen, Y Zhou
IEEE Transactions on Instrumentation and Measurement 72, 1-15, 2023
132023
Visual mapping and localization system based on compact instance-level road markings with spatial uncertainty
Y Zhou, X Li, S Li, X Wang
IEEE Robotics and Automation Letters 7 (4), 10802-10809, 2022
132022
Factor graph optimization-based multi-GNSS real-time kinematic system for robust and precise positioning in urban canyons
X Wang, X Li, Z Shen, X Li, Y Zhou, H Chang
GPS Solutions 27 (4), 200, 2023
122023
Accurate and real-time 3D-LiDAR multiobject tracking using factor graph optimization
S Feng, X Li, Z Yan, S Li, Y Zhou, C Xia, X Wang
IEEE Sensors Journal 24 (2), 1760-1771, 2023
62023
An Optimization-Based Tightly-Coupled Integration of PPP, INS and Vision for Precise and Continuous Navigation
X Li, H Chang, X Wang, S Li, Y Zhou, H Yu
IEEE Transactions on Vehicular Technology 73 (4), 4934-4948, 2023
62023
GIVL-SLAM: A Robust and High-Precision SLAM System by Tightly Coupled GNSS RTK, Inertial, Vision, and LiDAR
X Wang, X Li, H Yu, H Chang, Y Zhou, S Li
IEEE/ASME Transactions on Mechatronics, 2024
52024
Accurate and capable gnss-inertial-visual vehicle navigation via tightly coupled multiple homogeneous sensors
Z Shen, X Li, Y Zhou, S Li, Z Wu, X Wang
IEEE Transactions on Automation Science and Engineering, 2024
42024
DBA-fusion: tightly integrating deep dense visual bundle adjustment with multiple sensors for large-scale localization and mapping
Y Zhou, X Li, S Li, X Wang, S Feng, Y Tan
IEEE Robotics and Automation Letters, 2024
42024
A novel factor graph framework for tightly coupled GNSS/INS integration with carrier-phase ambiguity resolution
Z Shen, X Li, X Wang, Z Wu, X Li, Y Zhou, S Li
IEEE Transactions on Intelligent Transportation Systems, 2024
42024
Tightly-coupled stereo visual-inertial-LiDAR SLAM based on graph optimization
W Xuanbin, LI Xingxing, L Jianchi, F Shaoquan, LI Shengyu, Z Yuxuan
Acta Geodaetica et Cartographica Sinica 51 (8), 1744, 2022
32022
Factor graph-based PPP-RTK for accurate and robust positioning in urban environments
X Li, X Li, X Wang, H Chang, Y Tan, Z Shen
Journal of Geodesy 98 (3), 21, 2024
22024
Ground-VIO: Monocular visual-inertial odometry with online calibration of camera-ground geometric parameters
Y Zhou, X Li, S Li, X Wang, Z Shen
IEEE Transactions on Intelligent Transportation Systems, 2024
12024
Time-Differenced Carrier Phase Assisted Visual-Inertial Odometry with Global Pose Graph Optimization
X Li, Y Peng, Y Zhou, S Li, S Feng, X Wang, C Xia
IEEE Sensors Journal, 2024
2024
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