With autonomous driving develo** in a booming stage, accurate object detection in
complex scenarios attract wide attention to ensure the safety of autonomous driving …

Intelligent vehicles are advancing at a fast speed with the improvement of automation and
connectivity, which opens up new possibilities for different cyber-attacks, including in-vehicle …

Environment perception, one of the most fundamental and challenging problems of
autonomous vehicles (AVs), has been widely studied in recent decades. Due to inferior fault …

Recent years have led the path to the evolution of automotive technology and with these
new developments, modern vehicles are getting increasingly astute and offering growing …

In the face of large-scale environmental map** requirements, through the use of
lightweight and inexpensive robot groups to perceive the environment, the multi-robot …

This paper presents a probabilistic decision-making framework for rear-end collision
avoidance systems, focusing on modeling the impact of major collision-causing factors on …

Cyber security is one of the most significant challenges in connected vehicular systems and
connected vehicles are prone to different cybersecurity attacks that endanger passengers' …

The rapid advancement of deep learning has intensified the need for comprehensive data
for use by autonomous driving algorithms. High-quality datasets are crucial for the …

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 …

Camera-radar fusion has been applied in obstacle detection or moving object tracking for
autonomous vehicles and advanced driver assistance systems. When utilizing multiple …