For 3D object detection, both camera and lidar have been demonstrated to be useful
sensory devices for providing complementary information about the same scenery with data …

Recently, 3D object detection has attracted significant attention and achieved continuous
improvement in real road scenarios. The environmental information is collected from a …

3D object detection has become an emerging task in autonomous driving scenarios.
Previous works process 3D point clouds using either projection-based or voxel-based …

High-performance real-time 3D object detection is crucial in autonomous driving perception
systems. Voxel-or point-based 3D object detectors are highly accurate but inefficient and …

Multi-vehicle cooperative perception has recently emerged for facilitating long-range and
large-scale perception ability of connected automated vehicles (CAVs). Nonetheless …

Abstract 3D object detection approaches from point clouds develop rapidly. However, the
distribution of point clouds is unbalanced in the real scene, and thus the distant or occluded …

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 …

3D vehicle detection based on point cloud is a challenging task in real-world applications
such as autonomous driving. Despite significant progress has been made, we observe two …

accurate perception is a critical component in enabling autonomous vehicles to understand
their driving environment. The acquisition of 3D information about objects, including their …

Autonomous vehicles (AVs) must perceive and understand the 3D environment around
them. Modern autonomous vehicles use a suite of sensors and a set of machine-learning …