activity
20182022
most citedTowards Robust GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization

119 citations · 190 across the 16 of their papers we have counts for

collaborators

16 papers

eess.SP2022

High-Accuracy Absolute-Position-Aided Code Phase Tracking Based on RTK/INS Deep Integration in Challenging Static Scenarios

Yiran Luo, Li-Ta Hsu, Yang Jiang +4

Many multi-sensor navigation systems urgently demand accurate positioning initialization from global navigation satellite systems (GNSSs) in challenging static scenarios. However,…

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 (…

cs.RO2022★ 1 cited

DynaVIG: Monocular Vision/INS/GNSS Integrated Navigation and Object Tracking for AGV in Dynamic Scenes

Ronghe Jin, Yan Wang, Zhi Gao +3

Visual-Inertial Odometry (VIO) usually suffers from drifting over long-time runs, the accuracy is easily affected by dynamic objects. We propose DynaVIG, a navigation and object tr…

cs.RO2021

3D LiDAR Aided GNSS NLOS Mitigation in Urban Canyons

Weisong Wen, Li-Ta Hsu

In this paper, we propose a 3D LiDAR aided global navigation satellite system (GNSS) non-line-of-sight (NLOS) mitigation method caused by both static buildings and dynamic objects.…

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

Semantic 3D Map Change Detection and Update based on Smartphone Visual Positioning System

Max Jwo Lem Lee, Li-Ta Hsu

Accurate localization and 3D maps are increasingly needed for various artificial intelligence based IoT applications such as augmented reality, intelligent transportation, crowd mo…

cs.RO2020

Semantic-Based VPS for Smartphone Localization in Challenging Urban Environments

Max Jwo Lem Lee, Li-Ta Hsu, Hoi-Fung Ng +1

Accurate smartphone-based outdoor localization system in deep urban canyons are increasingly needed for various IoT applications such as augmented reality, intelligent transportati…

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…