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 …

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 …

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 …

[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 …

A Secured Vehicle Brain: DAO-Based Collaborative Perception and Decision-Making Systems for Intelligent Vehicles in CPSS

L Fan, C Zeng, Z Meng, X Xia, 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 …

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 …

An Universal Crack Detection Framework for Intelligent Road-Perceptive Vehicles

S Kuang, Y Liu, X Wang, X Qu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Crack detection is essential for ensuring road safety and preserving the integrity of
infrastructure. As intelligent transportation systems mature, vehicles equipped with crack …

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 …

LHA-Net: A Lightweight and High-accuracy Network for Road Surface Defect Detection

G Li, C Zhang, M Li, DL Han… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Road surface defect detection can effectively reduce maintenance costs, which is a critical
component in road structural health monitoring. However, existing methods often face …

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 …