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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …