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li shengyu
li shengyu
在 whu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
622021
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
452021
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
412021
Tightly coupled integration of GNSS, INS, and LiDAR for vehicle navigation in urban environments
S Li, S Wang, Y Zhou, Z Shen, X Li
IEEE Internet of Things Journal 9 (24), 24721-24735, 2022
272022
Multi-GNSS PPP/INS/Vision/LiDAR tightly integrated system for precise navigation in urban environments
S Li, X Li, H Wang, Y Zhou, Z Shen
Information Fusion 90, 218-232, 2023
232023
Centimeter-accurate vehicle navigation in urban environments with a tightly integrated PPP-RTK/MEMS/vision system
X Li, X Li, S Li, Y Zhou, M Sun, Q Xu, Z Xu
Gps Solutions 26 (4), 124, 2022
232022
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
192022
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
172022
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
142022
Two-step lidar/camera/imu spatial and temporal calibration based on continuous-time trajectory estimation
S Li, X Li, S Chen, Y Zhou, S Wang
IEEE Transactions on Industrial Electronics 71 (3), 3182-3191, 2023
112023
Using a moving antenna to improve GNSS/INS integration performance under low-dynamic scenarios
X Li, Y Zhou, Z Shen, B Song, S Li
IEEE Transactions on Intelligent Transportation Systems 23 (10), 17717-17728, 2022
92022
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
82023
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
72022
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
62023
Targetless extrinsic calibration of lidar–imu system using raw gnss observations for vehicle applications
S Li, X Li, Y Zhou, C Xia
IEEE Transactions on Instrumentation and Measurement 72, 1-11, 2023
62023
Continuous decimeter-level positioning in urban environments using multi-frequency GPS/BDS/Galileo PPP/INS tightly coupled integration
X Li, Z Shen, X Li, G Liu, Y Zhou, S Li, H Lyu, Q Zhang
Remote Sensing 15 (8), 2160, 2023
62023
An indoor and outdoor seamless positioning system for low-cost UGV using PPP/INS/UWB tightly coupled integration
X Li, Z Wu, Z Shen, Z Xu, X Li, S Li, J Han
IEEE Sensors Journal, 2023
52023
VIMOT: A Tightly-Coupled Estimator for Stereo Visual-Inertial Navigation and Multi-Object Tracking
S Feng, X Li, C Xia, J Liao, Y Zhou, S Li, X Hua
IEEE Transactions on Instrumentation and Measurement, 2023
52023
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, 2023
12023
Targetless Spatiotemporal Calibration for Multiple Heterogeneous Cameras and IMUs Based on Continuous-Time Trajectory Estimation
S Chen, X Li, S Li, Y Zhou, S Wang
IEEE Transactions on Instrumentation and Measurement, 2023
12023
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