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 …

Metaverse and intelligent transportation system (ITS) are disruptive technologies that have
the potential to transform the current transportation system by decreasing traffic accidents …

Environmental perception with the multi-modal fusion is crucial in autonomous driving to
increase accuracy, completeness, and robustness. This paper focuses on utilizing millimeter …

In cyber–physical–social systems, smart manufacturing has to overcome challenges, such
as uncertainty, diversity, complexity in modeling, long-delayed responses to market …

The rapid development of Autonomous Vehicles (AVs) increases the requirement for the
accurate prediction of objects in the vicinity to guarantee safer journeys. For effectively …

Simultaneous Localization and Mapping (SLAM) utilizing millimeter-wave (mmWave) radars
is widely recognized as an essential component for autonomous driving applications. In this …

In the context of autonomous driving environment perception, multi-modal fusion plays a
pivotal role in enhancing robustness, completeness, and accuracy, thereby extending the …

Traditionally, point cloud representations or Doppler spectrograms have been generated
from short-range automotive radars for dynamic object detection and classification. In this …

This letter discusses the security considerations of cross-space collaborative perception
based on Decentralized Autonomous Organizations (DAOs). It explores the inter-space …

Accurate and reliable tracking of multi-pedestrian is of great importance for autonomous
driving, human-robot interaction and video surveillance. Since different scenarios have …