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

We present a novel two-stage fully sparse convolutional 3D object detection framework,
named CAGroup3D. Our proposed method first generates some high-quality 3D proposals …

Vehicle-to-Vehicle technologies have enabled autonomous vehicles to share information to
see through occlusions, greatly enhancing perception performance. Nevertheless, existing …

摘要近年来, 随着深度传感器和三维激光扫描设备的普及, 点云数据引起了广泛关注.
相对于二维图像, 点云数据不仅包含场景的深度信息, 还不受光照等环境因素的影响 …

Grounding 3D object affordance seeks to locate objects'" action possibilities" regions in the
3D space, which serves as a link between perception and operation for embodied agents …

Abstract 3D object detection from the LiDAR point cloud is fundamental to autonomous
driving. Large-scale outdoor scenes usually feature significant variance in instance scales …

Autonomous driving has been widely applied in commercial and industrial applications,
along with the upgrade of environmental awareness systems. Tasks such as path planning …

With the rapid development of object detection technology for unmanned aerial vehicles
(UAVs), it is convenient to collect data from UAV aerial photographs. They have a wide …

Issues, such as insufficient feature representation and background confusion, make
detection tasks for small object in remote sensing arduous. Particularly, when the algorithm …

Pointly supervised instance segmentation (PSIS) learns to segment objects using a single
point within the object extent as supervision. Challenged by the non-negligible semantic …