Feng Huang

Orcid: 0000-0002-3821-5993

Affiliations:
  • Hong Kong Polytechnic University, Department of Aeronautical and Aviation Engineering, Intelligent Positioning and Navigation Laboratory, Hong Kong


According to our database1, Feng Huang authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Dynamic Object-Aware LiDAR Odometry Aided by Joint Weightings Estimation in Urban Areas.
IEEE Trans. Intell. Veh., February, 2024

ECMD: An Event-Centric Multisensory Driving Dataset for SLAM.
IEEE Trans. Intell. Veh., January, 2024

An Anti-Spoofing Model Based on MVM and MCCM for a Loosely-Coupled GNSS/INS /LiDAR Kalman Filter.
IEEE Trans. Intell. Veh., January, 2024

2023
Selection of Areas for Effective GNSS Spoofing Attacks to a Vehicle-Mounted MSF System Based on Scenario Classification Models.
IEEE Trans. Veh. Technol., November, 2023

Adaptive Multi-Sensor Integrated Navigation System Aided by Continuous Error Map from RSU for Autonomous Vehicles in Urban Areas.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Roadside Infrastructure assisted LiDAR/Inertial-based Mapping for Intelligent Vehicles in Urban Areas.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Point Wise or Feature Wise? A Benchmark Comparison of Publicly Available Lidar Odometry Algorithms in Urban Canyons.
IEEE Intell. Transp. Syst. Mag., 2022

3D LiDAR Aided GNSS NLOS Mitigation for Reliable GNSS-RTK Positioning in Urban Canyons.
CoRR, 2022

LiDAR Aided Cycle Slip Detection for GNSS Real-Time Kinematic Positioning in Urban Environments.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Coarse-to-Fine Loosely-Coupled LiDAR-Inertial Odometry for Urban Positioning and Mapping.
Remote. Sens., 2021

Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons.
CoRR, 2021


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