activity
20182025
most citedTowards Robust GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization

119 citations · 191 across the 19 of their papers we have counts for

collaborators

19 papers

cs.RO2025

UrbanV2X: A Multisensory Vehicle-Infrastructure Dataset for Cooperative Navigation in Urban Areas

Qijun Qin, Ziqi Zhang, Yihan Zhong +9

Due to the limitations of a single autonomous vehicle, Cellular Vehicle-to-Everything (C-V2X) technology opens a new window for achieving fully autonomous driving through sensor in…

cs.RO2025

Two stage GNSS outlier detection for factor graph optimization based GNSS-RTK/INS/odometer fusion

Baoshan Song, Penggao Yan, Xiao Xia +3

Reliable GNSS positioning in complex environments remains a critical challenge due to non-line-of-sight (NLOS) propagation, multipath effects, and frequent signal blockages. These…

cs.RO2025

Initialization-Free LEO Doppler Positioning via Semidefinite Relaxation: A Cold-Start Approach

Baoshan Song, Weisong Wen, Qi Zhang +4

Low Earth Orbit (LEO) satellite Doppler measurements offer an alternative source of positioning information for Internet of Things devices when Global Navigation Satellite System s…

cs.LG2024

pyrtklib: An open-source package for tightly coupled deep learning and GNSS integration for positioning in urban canyons

Runzhi Hu, Penghui Xu, Yihan Zhong +1

Artificial intelligence (AI) is revolutionizing numerous fields, with increasing applications in Global Navigation Satellite Systems (GNSS) positioning algorithms in intelligent tr…

cs.RO2024

Tightly Joined Positioning and Control Model for Unmanned Aerial Vehicles Based on Factor Graph Optimization

Peiwen Yang, Weisong Wen, Shiyu Bai +1

The execution of flight missions by unmanned aerial vehicles (UAV) primarily relies on navigation. In particular, the navigation pipeline has traditionally been divided into positi…

cs.RO2023★ 2 cited

ECMD: An Event-Centric Multisensory Driving Dataset for SLAM

Peiyu Chen, Weipeng Guan, Feng Huang +4

Leveraging multiple sensors enhances complex environmental perception and increases resilience to varying luminance conditions and high-speed motion patterns, achieving precise loc…

cs.RO2023

Tightly Joining Positioning and Control for Trustworthy Unmanned Aerial Vehicles Based on Factor Graph Optimization in Urban Transportation

Peiwen Yang, Weisong Wen

Unmanned aerial vehicles (UAV) showed great potential in improving the efficiency of parcel delivery applications in the coming smart cities era. Unfortunately, the trustworthy pos…

cs.RO2022★ 5 cited

3D LiDAR Aided GNSS NLOS Mitigation for Reliable GNSS-RTK Positioning in Urban Canyons

Xikun Liu, Weisong Wen, Feng Huang +3

GNSS and LiDAR odometry are complementary as they provide absolute and relative positioning, respectively. Their integration in a loosely-coupled manner is straightforward but is c…

cs.RO2022★ 21 cited

Trajectory Smoothing Using GNSS/PDR Integration Via Factor Graph Optimization in Urban Canyons

Yihan Zhong, Weisong Wen, Li-Ta Hsu

Accurate and smooth global navigation satellite system (GNSS) positioning for pedestrians in urban canyons is still a challenge due to the multipath effects and the non-light-of-si…

cs.RO2022★ 1 cited

Safety-quantifiable Line Feature-based Monocular Visual Localization with 3D Prior Map

Xi Zheng, Weisong Wen, Li-Ta Hsu

Accurate and safety-quantifiable localization is of great significance for safety-critical autonomous systems, such as unmanned ground vehicles (UGV) and unmanned aerial vehicles (…

eess.SP2021★ 5 cited

Time-correlated Window Carrier-phase Aided GNSS Positioning Using Factor Graph Optimization for Urban Positioning

Xiwei Bai, Weisong Wen, Li-Ta Hsu

This paper proposes an improved global navigation satellite system (GNSS) positioning method that explores the time correlation between consecutive epochs of the code and carrier p…

eess.SP2021★ 1 cited

GNSS Outlier Mitigation Via Graduated Non-Convexity Factor Graph Optimization

Weisong Wen, Guohao Zhang, Li-Ta Hsu

Accurate and globally referenced global navigation satellite system (GNSS) based vehicular positioning can be achieved in outlier-free open areas. However, the performance of GNSS…

cs.RO2021★ 119 cited

Towards Robust GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization

Weisong Wen, Li-Ta Hsu

Global navigation satellite systems (GNSS) are one of the utterly popular sources for providing globally referenced positioning for autonomous systems. However, the performance of…

cs.RO2021★ 2 cited

Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons

Feng Huang, Weisong Wen, Jiachen Zhang +1

Robust and precise localization is essential for the autonomous system with navigation requirements. Light detection and ranging (LiDAR) odometry is extensively studied in the past…

cs.CV2020★ 7 cited

LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR

Jiang Yue, Weisong Wen, Jing Han +1

LiDAR-based SLAM algorithms are extensively studied to providing robust and accurate positioning for autonomous driving vehicles (ADV) in the past decades. Satisfactory performance…

cs.RO2020★ 17 cited

It is time for Factor Graph Optimization for GNSS/INS Integration: Comparison between FGO and EKF

Weisong Wen, Tim Pfeifer, Xiwei Bai +1

The recently proposed factor graph optimization (FGO) is adopted to integrate GNSS/INS attracted lots of attention and improved the performance over the existing EKF-based GNSS/INS…

cs.RO2019★ 9 cited

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes

Weisong Wen, Yiyang Zhou, Guohao Zhang +5

Mapping and localization is a critical module of autonomous driving, and significant achievements have been reached in this field. Beyond Global Navigation Satellite System (GNSS),…

cs.RO2018

Performance Analysis of NDT-based Graph SLAM for Autonomous Vehicle in Diverse Typical Driving Scenarios of Hong Kong

Weisong Wen, Li-Ta Hsu, Guohao Zhang

Robust and lane-level positioning is essential for autonomous vehicles. As an irreplaceable sensor, LiDAR can provide continuous and high-frequency pose estimation by means of mapp…

cs.RO2018★ 2 cited

Exclusion of GNSS NLOS Receptions Caused by Dynamic Objects in Heavy Traffic Urban Scenarios Using Real-Time 3D Point Cloud: An Approach without 3D Maps

Weisong Wen, Guohao Zhang, Li-Ta Hsu

Absolute positioning is an essential factor for the arrival of autonomous driving. Global Navigation Satellites System (GNSS) receiver provides absolute localization for it. GNSS s…