The remarkable performance of Bird's Eye View (BEV) in perception tasks has led to its
gradual emergence as a focal point of attention in both industry and academia …

Deep learning has been widely used in intelligent vehicle driving perception systems, such
as 3D object detection. One promising technique is Cooperative Perception, which …

How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …

Benefiting from the higher performance-cost ratio and installation convenience, the visible-
light imaging camera has become one of the most widely-used onboard sensors for safe …

Over the last decades, deep neural networks (DNNs) have penetrated all fields of science
and the real world. As a result of the lack of quantifiable data and model uncertainty, deep …

Multi-modal fusion is a basic task of autonomous driving system perception, which has
attracted many scholars' attention in recent years. The current multi-modal fusion methods …

Various unfavourable conditions such as fog, snow and rain may degrade image quality and
pose tremendous threats to the safety of autonomous driving. Numerous image-denoising …

In the context of automated driving, navigating through challenging urban environments with
dynamic objects, large-scale scenes, and varying lighting/weather conditions, achieving …

Obeject detection as a fundamental task of environmental perception systems in
autonomous vehicles (AVs), is significant for intelligent driving safety that precise detection …

The detection of small objects such as pedestrians still poses challenges to the LiDAR-
based 3D object detection due to the sparseness and disorder of point clouds. Conversely …