TAS LAB Trustworthy AI and Autonomous Systems Laboratory

🛰️ 3D LiDAR Aided GNSS Positioning for Robotics Navigation

AI-driven GNSS positioning (RTK, PPP, PPP-RTK), 3D LiDAR aided NLOS/multipath mitigation, multi-sensor fusion for robust urban navigation. Our research develops advanced algorithms that integrate GNSS with 3D LiDAR and other sensors to achieve high-accuracy positioning in challenging urban environments where satellite signals are degraded by buildings and other obstacles.

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Projects (6)

Data-driven-assisted GNSS RTK INS Navigation for Autonomous Systems in Urban Canyons
Data-driven-assisted GNSS RTK/INS Navigation for Autonomous Systems in Urban Canyons 
January 01, 2024
gnss positioning nlos/multipath correction autonomous driving positional encoding multimodal network vision feature

Abstract

Maximum Consensus Integration of GNSS and LiDAR for Urban Navigation
January 01, 2024
gnss lidar sensor fusion

PolyU (UGC)

High-precision Vehicle-mounted GNSS IMU Camera Fusion Positioning Technology in Complex Urban Environments Based on Factor Graph
High-precision Vehicle-mounted GNSS/IMU/Camera Fusion Positioning Technology in Complex Urban Environments Based on Factor Graph
September 30, 2023
global navigation satellite system real-time kinematic positioning factor graph optimization multi‑epoch ambiguity resolution urban canyons

Abstract

Vision Aided GNSS-RTK Positioning for UAV System in Urban Canyons
Vision Aided GNSS-RTK Positioning for UAV System in Urban Canyons
April 01, 2023
artificial intelligence deep learning gnss

Abstract

Research on GNSS Urban Positioning Algorithm Based on 3D LiDAR
Research on GNSS Urban Positioning Algorithm Based on 3D LiDAR
February 14, 2022
localization mapping sensor-fusion rtk gnss lidar imu

Abstract

Huawei-PolyU High-accuracy Localization Project second phase
Huawei-PolyU High-accuracy Localization Project (second phase)
September 07, 2021
localization mapping sensor-fusion rtk gnss lidar imu virtual-satellites cycle-slip-detection

Developed LiDAR aided GNSS-RTK method based on the GNSS/IMU/LiDAR to provide highly accurate positioning results in the urban canyons.