Autonomous vehicles require constant environmental perception to obtain the distribution of
obstacles to achieve safe driving. Specifically, 3D object detection is a vital functional …

As the foundation of intelligent systems, machine vision perceives the surrounding
environment and provides a basis for decision-making. Object detection is the core task in …

Multi-modal fusion is a fundamental task for the perception of an autonomous driving
system, which has recently intrigued many researchers. However, achieving a rather good …

Autonomous driving (AD), including single-vehicle intelligent AD and vehicle–infrastructure
cooperative AD, has become a current research hot spot in academia and industry, and …

Abstract Vehicle-to-Everything (V2X) network has enabled collaborative perception in
autonomous driving, which is a promising solution to the fundamental defect of stand-alone …

Abstract 3D object detection, of which the goal is to obtain the 3D spatial structure
information of the object, is a challenging topic in many visual perception systems, eg …

Unmanned ground vehicles (UGVs) have great potential in the application of both civilian
and military fields, and have become the focus of research in many countries. Environmental …

Besides standard cameras, autonomous vehicles typically include multiple additional
sensors, such as lidars and radars, which help acquire richer information for perceiving the …

Many LiDAR-based methods for detecting large objects, single-class object detection, or
under easy situations were claimed to perform well. However, due to their failure to exploit …

With the improvements in sensor performance (cameras, Lidars) and the application of deep
learning in object detection, autonomous vehicles (AVs) are gradually becoming more …