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 …
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 - 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 …
X Gao, S Roy, G Xing, S Jin - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radars are being increasingly integrated in commercial vehicles to support new Adaptive Driver Assisted Systems (ADAS) features that require accurate …
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 …
K Qian, Z He, X Zhang - Proceedings of the ACM on Interactive, Mobile …, 2020 - dl.acm.org
Emerging autonomous driving systems require reliable perception of 3D surroundings. Unfortunately, current mainstream perception modalities, ie, camera and Lidar, are …
High resolution 4D millimeter wave radar has been increasingly used for robust 3D detection and tracking of on-road vehicles. Rich point clouds generated by 4D radars can …
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 …
B Tan, Z Ma, X Zhu, S Li, L Zheng, S Chen… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Object detection is a crucial task in autonomous driving. Currently, object-detection methods for autonomous driving systems are primarily based on information from cameras and light …