Achieving fully autonomous driving with heightened safety and efficiency depends on
vehicle-to-everything (V2X) cooperative perception (CP), which allows vehicles to share …

The grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …

Camera and millimeter-wave (MMW) radar fusion is essential for accurate and robust
autonomous driving systems. With the advancement of radar technology, next-generation …

The 4D millimeter-Wave (mmWave) radar is a promising technology for vehicle sensing due
to its cost-effectiveness and operability in adverse weather conditions. However, the …

As an emerging technology and a relatively affordable device, the 4D imaging radar has
already been confirmed effective in performing 3D object detection in autonomous driving …

Online 3D multi-object tracking (MOT) has recently received significant research interests
due to the expanding demand of 3D perception in advanced driver assistance systems …

To ensure safe and efficient intelligent transportation systems (ITS), autonomous driving
systems must have excellent abilities about object detection and environmental perception …

Embodied perception is essential for intelligent vehicles and robots in interactive
environmental understanding. However, these advancements primarily focus on vision, with …

Online multi-object tracking (MOT) plays a pivotal role in autonomous systems. The state-of-
the-art approaches usually employ a tracking-by-detection method, and data association …

With the advancement of environmental perception technology, millimeter-wave (mmWave)
radar is emerging as a predominant sensor. While deep learning has facilitated the …