17 citations · 26 across the 4 of their papers we have counts for
7 papers
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…
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…
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…
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…
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),…
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…