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 …

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 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 sha** the IVs to be …

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 …

Develo** autonomous driving technologies necessitates addressing safety and cost
concerns. Both academic research and commercial applications of autonomous driving …

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

Location determination finds wide applications in daily life. Instead of existing efforts devoted
to localizing tourist photos captured by perspective cameras, in this article, we focus on …