Towards deep radar perception for autonomous driving: Datasets, methods, and challenges

Y Zhou, L Liu, H Zhao, M López-Benítez, L Yu, Y Yue - Sensors, 2022 - mdpi.com
With recent developments, the performance of automotive radar has improved significantly.
The next generation of 4D radar can achieve imaging capability in the form of high …

Mmwave radar and vision fusion for object detection in autonomous driving: A review

Z Wei, F Zhang, S Chang, Y Liu, H Wu, Z Feng - Sensors, 2022 - mdpi.com
With autonomous driving developing in a booming stage, accurate object detection in
complex scenarios attract wide attention to ensure the safety of autonomous driving …

Milestones in autonomous driving and intelligent vehicles: Survey of surveys

L Chen, Y Li, C Huang, B Li, Y Xing… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors

L Chen, Y Li, C Huang, Y Xing, D Tian… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Millimeter wave fmcw radars for perception, recognition and localization in automotive applications: A survey

A Venon, Y Dupuis, P Vasseur… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are
sensors based on frequency-modulated electromagnetic which see their environment in 3D …

A novel radar point cloud generation method for robot environment perception

Y Cheng, J Su, M Jiang, Y Liu - IEEE Transactions on Robotics, 2022 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radar has been widely used in autonomous driving due to its
good performance under harsh weather conditions. In recent years, with the development of …

Robust small object detection on the water surface through fusion of camera and millimeter wave radar

Y Cheng, H Xu, Y Liu - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
In recent years, unmanned surface vehicles (USVs) have been experiencing growth in
various applications. With the expansion of USVs' application scenes from the typical marine …

Proximity perception in human-centered robotics: A survey on sensing systems and applications

SE Navarro, S Mühlbacher-Karrer… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Proximity perception is a technology that has the potential to play an essential role in the
future of robotics. It can fulfill the promise of safe, robust, and autonomous systems in …

Object detection for automotive radar point clouds–a comparison

N Scheiner, F Kraus, N Appenrodt, J Dickmann, B Sick - AI Perspectives, 2021 - Springer
Automotive radar perception is an integral part of automated driving systems. Radar sensors
benefit from their excellent robustness against adverse weather conditions such as snow …

HoloFed: Environment-adaptive positioning via multi-band reconfigurable holographic surfaces and federated learning

J Hu, Z Chen, T Zheng, R Schober… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Positioning is an essential service for various applications and is expected to be integrated
with existing communication infrastructures in 5G and 6G. Though current Wi-Fi and cellular …