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

Over the past decade, vision-based vehicle detection techniques for road safety
improvement have gained an increasing amount of attention. Unfortunately, the techniques …

This paper provides a review of the literature in on-road vision-based vehicle detection,
tracking, and behavior understanding. Over the past decade, vision-based surround …

The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …

With the rapid development of automated vehicles (AVs), more and more demands are
proposed towards environmental perception. Among the commonly used sensors, MMW …

The progress brought by the deep learning technology over the last decade has inspired
many research domains, such as radar signal processing, speech and audio recognition …

For autonomous driving, it is important to detect obstacles in all scales accurately for safety
consideration. In this paper, we propose a new spatial attention fusion (SAF) method for …

With the potential to increase road safety and provide economic benefits, intelligent vehicles
have elicited a significant amount of interest from both academics and industry. A robust and …

Cameras allow for highly accurate identification of targets. However, it is difficult to obtain
spatial position and velocity information about a target by relying solely on images. The …

Nowadays, vehicles with a high level of automation are being driven everywhere. With the
apparent success of autonomous driving technology, we keep working to achieve fully …