A systematic study on object recognition using millimeter-wave radar

MK Devnath, A Chakma, MS Anwar… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
Millimeter-wave (MMW) radar is becoming an essential sensing technology in smart
environments due to its light and weather-independent sensing capability. Such capabilities …

A Survey of mmWave Radar-Based Sensing in Autonomous Vehicles, Smart Homes and Industry

H Kong, C Huang, J Yu, X Shen - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
Sensing technology plays a crucial role in bridging the physical and digital worlds. By
transforming a multitude of physical phenomena into digital data, it significantly enhances …

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 …

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 …

Cnn based target classification in vehicular networks with millimeter-wave radar

L Zhang, S Xu, J Li - 2022 IEEE 95th Vehicular Technology …, 2022 - ieeexplore.ieee.org
Millimeter-wave radar is widely used in intelligent vehicle infrastructure cooperative systems
(IVICS) because of its long detection distance, high integration and less affected by weather …

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 …

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 …

Millimeter-wave radar object classification using knowledge-assisted neural network

Y Wang, C Han, L Zhang, J Liu, Q An… - Frontiers in …, 2022 - frontiersin.org
To improve the cognition and understanding capabilities of artificial intelligence (AI)
technology, it is a tendency to explore the human brain learning processing and integrate …

mmWave-YOLO: A mmWave imaging radar-based real-time multiclass object recognition system for ADAS applications

A Kosuge, S Suehiro, M Hamada… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article presents a millimeter wave (mmWave) imaging radar-based real-time multiclass
object recognition system for advanced driver-assistance system (ADAS) applications …

millieye: A lightweight mmwave radar and camera fusion system for robust object detection

X Shuai, Y Shen, Y Tang, S Shi, L Ji… - Proceedings of the …, 2021 - dl.acm.org
A wide range of advanced deep learning algorithms have recently been proposed for image
classification and object detection. However, the effectiveness of these methods can be …