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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 …
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
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 …
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 …
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
This letter discusses the security considerations of cross-space collaborative perception
based on Decentralized Autonomous Organizations (DAOs). It explores the inter-space …
based on Decentralized Autonomous Organizations (DAOs). It explores the inter-space …
Automation 5.0: The key to systems intelligence and Industry 5.0
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 …
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
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 …
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 …
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 …
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 …
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 …
production. However, fine grain defects caused by stress loading, environmental influences …