4D mmWave radar for autonomous driving perception: a comprehensive survey

L Fan, J Wang, Y Chang, Y Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid development of autonomous driving technology has driven continuous innovation
in perception systems, with 4D millimeter-wave (mmWave) radar being one of the key …

[HTML][HTML] Predictive models for flexible pavement fatigue cracking based on machine learning

AJ Alnaqbi, W Zeiada, G Al-Khateeb, A Abttan… - Transportation …, 2024 - Elsevier
Pavement performance prediction is crucial for ensuring the longevity and safety of road
networks. In our extensive study, we employ a diverse array of techniques to enhance …

Scenario-function system for automotive intelligent cockpits: Framework, research progress and perspectives

H Chen, R Gao, L Fan, E Liu, W Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The innovative development of intelligent cockpit scenarios and functions brings
increasingly enhanced user experiences to drivers and passengers in intelligent vehicles …

A secured vehicle brain: DAO-based collaborative perception and decision-making systems for intelligent vehicles in CPSS

L Fan, C Zeng, Z Meng, X **a, Y Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This letter discusses the security considerations of cross-space collaborative perception
based on Decentralized Autonomous Organizations (DAOs). It explores the inter-space …

Automation 5.0: The key to systems intelligence and Industry 5.0

L Vlacic, H Huang, M Dotoli, Y Wang… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
Automation has come a long way since the early days of mechanization, ie, the process of
working exclusively by hand or using animals to work with machinery. The rise of steam …

Segmentation of road negative obstacles based on dual semantic-feature complementary fusion for autonomous driving

Z Feng, Y Guo, Y Sun - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Segmentation of road negative obstacles (ie, potholes and cracks) is important to the safety
of autonomous driving. Although existing RGB-D fusion networks could achieve acceptable …

Social radars for social vision of intelligent vehicles: A new direction for vehicle research and development

L Fan, X Wang, J Yang, Y Liu, C Lv… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The low-altitude economy is playing a crucial role in promoting economic development,
strengthening social security, and serving international security, thus becoming an …

Perception and planning of intelligent vehicles based on bev in extreme off-road scenarios

J Fan, L Fan, Q Ni, J Wang, Y Liu, R Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In extreme off-road scenarios, autonomous driving technology holds strategic significance
for enhancing emergency rescue capabilities, reducing labor intensity, and mitigating safety …

Social radars: Finding targets in cyberspace for cybersecurity

L Fan, C Zeng, Y Wang, J Ma… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
Inspired by the insight from American political scientist Lasswell, who summarized the
environmental role in societal surveillance [1], Schramm coined the term “social radar”[2] as …

GAF-Net: A new automated segmentation method based on multiscale feature fusion and feedback module

L Wen, Y Ye, L Zuo - Pattern Recognition Letters, 2025 - Elsevier
Surface defect detection (SDD) is the necessary technique to monitor the surface quality of
production. However, fine grain defects caused by stress loading, environmental influences …