Recent voxel-based 3D object detectors for autonomous vehicles learn point cloud
representations either from bird eye view (BEV) or range view (RV, aka the perspective …

With the astonishing development of 3D sensors, point cloud based 3D object detection is
attracting increasing attention from both industry and academia, and widely applied in …

Infrastructure 3D Object Detection is a pivotal component of Vehicle-Infrastructure
Cooperated Autonomous Driving (VICAD). As turning objects account for a high proportion …

3D object detection based on LiDAR-camera fusion is becoming an emerging research
theme for autonomous driving. However, it has been surprisingly difficult to effectively fuse …

With the advent of autonomous vehicle applications, the importance of LiDAR point cloud 3D
object detection cannot be overstated. Recent studies have demonstrated that methods for …

Nowadays, various multimodal fusion-based 3-D object detectors appear to provide a
potential opportunity to solve the failure cases in single-modality methods. However, current …

In this paper, we propose a novel approach to address the problem of camera and radar
sensor fusion for 3D object detection in autonomous vehicle perception systems. Our …

Three-dimensional object detection is vital for understanding the autonomous vehicle
driving environment. Different sensors are used for this purpose, such as cameras and …

Object detection in real-world applications such as autonomous driving scenarios is a
challenging issue since objects often occlude each other. 3D object detection has achieved …

LiDAR and camera are two essential sensors for 3D object detection in autonomous driving.
LiDAR provides accurate and reliable 3D geometry information while the camera provides …