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

With the development of society, technological progress, and new needs, autonomous
driving has become a trendy topic in smart cities. Due to technological limitations …

Lidar-based sensing drives current autonomous vehicles. Despite rapid progress, current
Lidar sensors still lag two decades behind traditional color cameras in terms of resolution …

LiDAR and cameras are complementary sensors for 3D object detection in autonomous
driving. However, it is challenging to explore the unnatural interaction between point clouds …

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 …

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 …

LiDAR and camera are complementary sensors for 3D object detection in autonomous
driving. However, it is challenging to explore the unnatural interaction between point clouds …

The transformation of features from 2D perspective space to 3D space is essential to multi-
view 3D object detection. Recent approaches mainly focus on the design of view …

The complex traffic conditions and high traffic flow are big challenges to the perception of
autonomous vehicles. As the basis of environmental perception technology, object detection …

Abstract Real-time three-dimensional (3D) object detection has become a crucial
component of autonomous driving applications. Recent research demonstrates that a voxel …