Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …

Collaborative perception is essential to address occlusion and sensor failure issues in
autonomous driving. In recent years, theoretical and experimental investigations of novel …

Modern perception systems of autonomous vehicles are known to be sensitive to occlusions
and lack the capability of long perceiving range. It has been one of the key bottlenecks that …

Bird's eye view (BEV) semantic segmentation plays a crucial role in spatial sensing for
autonomous driving. Although recent literature has made significant progress on BEV map …

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

Collaborative perception has recently shown great potential to improve perception
capabilities over single-agent perception. Existing collaborative perception methods usually …

Driver distraction has become a significant cause of severe traffic accidents over the past
decade. Despite the growing development of vision-driven driver monitoring systems, the …

Multi-agent collaborative perception as a potential application for vehicle-to-everything
communication could significantly improve the perception performance of autonomous …

This paper presents CORE, a conceptually simple, effective and communication-efficient
model for multi-agent cooperative perception. It addresses the task from a novel perspective …

Advances in Single-vehicle intelligence of automated driving has encountered great
challenges because of limited capabilities in perception and interaction with complex traffic …