MMW radar-based technologies in autonomous driving: A review

T Zhou, M Yang, K Jiang, H Wong, D Yang - Sensors, 2020 - mdpi.com
With the rapid development of automated vehicles (AVs), more and more demands are
proposed towards environmental perception. Among the commonly used sensors, MMW …

Application of deep learning on millimeter-wave radar signals: A review

FJ Abdu, Y Zhang, M Fu, Y Li, Z Deng - Sensors, 2021 - mdpi.com
The progress brought by the deep learning technology over the last decade has inspired
many research domains, such as radar signal processing, speech and audio recognition …

Machine learning-based target classification for MMW radar in autonomous driving

X Cai, M Giallorenzo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Millimeter-wave (MMW) radar sensors are considered key components of autonomous
vehicles. Because of the performance degeneration of cameras and lidars under inclement …

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 …

Ramp-cnn: A novel neural network for enhanced automotive radar object recognition

X Gao, G Xing, S Roy, H Liu - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Millimeter-wave (mmW) radars are being increasingly integrated into commercial vehicles to
support new advanced driver-assistance systems (ADAS) by enabling robust and high …

Experiments with mmwave automotive radar test-bed

X Gao, G Xing, S Roy, H Liu - 2019 53rd Asilomar conference …, 2019 - ieeexplore.ieee.org
Millimeter-wave (mmW) radars are being increasingly integrated in commercial vehicles to
support new Adaptive Driver Assisted Systems (ADAS) for its ability to provide high accuracy …

Radars for autonomous driving: A review of deep learning methods and challenges

A Srivastav, S Mandal - IEEE Access, 2023 - ieeexplore.ieee.org
Radar is a key component of the suite of perception sensors used for safe and reliable
navigation of autonomous vehicles. Its unique capabilities include high-resolution velocity …

Recent advances in mmWave-radar-based sensing, its applications, and machine learning techniques: A review

A Soumya, C Krishna Mohan, LR Cenkeramaddi - Sensors, 2023 - mdpi.com
Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive
driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant …

Radatron: Accurate detection using multi-resolution cascaded mimo radar

S Madani, J Guan, W Ahmed, S Gupta… - European Conference on …, 2022 - Springer
Millimeter wave (mmWave) radars are becoming a more popular sensing modality in self-
driving cars due to their favorable characteristics in adverse weather. Yet, they currently lack …

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 …