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Volume 7, 2025 - Issue 2

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Integration of Millimeter-Wave Radar and ResNet A Review and Future Directions

by ChenHui Zhao 1  and  WaiYie Leong 1
1
INTI INTERNATIONAL UNNIVERSITY, Persiaran Perdana BBN Putra Nilai, 71800 Nilai, Negeri Sembilan
*
Author to whom correspondence should be addressed.
JGSR  2025 7(2):146; https://doi.org/10.69610/j.gsr.20250323
Received: / Accepted: / Published Online: 23 March 2025
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Abstract

The integration of millimeter-wave (mmWave) radar technology with ResNet, a deep convolutional neural network, has emerged as a promising solution for applications such as autonomous driving, healthcare, and industrial automation. This paper reviews recent advancements in integrating millimeter-wave radar technology with Residual Neural Networks (ResNet) and their significance for future innovations. Millimeter-wave radar offers high resolution and robustness in adverse conditions, making it essential for autonomous vehicles, drone operations, and smart cities. ResNet, a major development in deep learning, tackles gradient issues in neural network training through its residual learning framework. The paper also suggests future research directions to enhance the practical applications of millimeter-wave radar and ResNet in areas like autonomous driving, environmental monitoring, and weather forecasting, highlighting their potential and prospected applications.

Keywords: Millimeter-wave radar; residual neural networks; product innovation.;
Copyright: © 2025 by Zhao and Leong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Zhao, C.; Leong, W. Integration of Millimeter-Wave Radar and ResNet A Review and Future Directions. Journal of Globe Scientific Reports, 2025, 7, 146. doi:10.69610/j.gsr.20250323
AMA Style
Zhao C, Leong W. Integration of Millimeter-Wave Radar and ResNet A Review and Future Directions. Journal of Globe Scientific Reports; 2025, 7(2):146. doi:10.69610/j.gsr.20250323
Chicago/Turabian Style
Zhao, ChenHui; Leong, WaiYie 2025. "Integration of Millimeter-Wave Radar and ResNet A Review and Future Directions" Journal of Globe Scientific Reports 7, no.2:146. doi:10.69610/j.gsr.20250323

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