A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …

In recent years, autonomous vehicles have become more and more popular due to their
broad influence over society, as they increase passenger safety and convenience, lower fuel …

End-to-end autonomous driving provides a simple and efficient framework for autonomous
driving systems, which can directly obtain control commands from raw perception data …

The past decade has witnessed the rapid development of autonomous driving systems.
However, it remains a daunting task to achieve full autonomy, especially when it comes to …

The advent of Scenarios Engineering (SE) paves the way to a new era of intelligent vehicles
(IVs), driven by Artificial Intelligence (AI)-enabled strategies. It aims at shaping the IVs to be …

Accurately identifying and localizing concealed cracks in asphalt pavements through
nondestructive ground-penetrating radar (GPR) testing has attracted much attention …

Autonomous driving is an important branch of artificial intelligence, and real-time and
accurate object detection is key to ensuring the safe and stable operation of autonomous …

The progress of autonomous driving cars is a difficult movement that causes problems
regarding safety, ethics, social acceptance, and cybersecurity. Currently, the automotive …

Deep learning field has progressed the vision-based surround perception and has become
the most trending area in the field of Intelligent Transportation System (ITS). Many deep …

Recent deep learning-based object detectors have shown compelling performance for the
detection of large objects in autonomous driving applications. However, the detection of …