… Loss For 3d object detection, we need to predict the label, location, shape and direction
right. To regress label efficiently, PointPillars uses FocalLoss to address the problem of extreme …

… 对于传感器无法同步等问 题,RoarNet-3D[78]算法使用RoarNet-2D估计物体的三维 姿态并
获得… RoarNet:a robust 3D object detection based on region approximation refinement[J].arXiv:…

… RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refine ment.
2019 IEEE Intelligent Vehicles Symposium (IV) [DOI: 10.1109/IVS.2019.8813895] …

… RoarNet: A robust 3d object detection based on RegiOn approximation refinement[C] //Proceedings …
Faster R-CNN: Towards real-time object detection with region proposal networks[C] //…

… detection,in which the point clouds are created by binocular vision,RGB-D camera,and
lidar; (2) fusion-based 3D object detection based … 为了降低对2D 检测器的依赖,RoarNet[113]不…

… RoarNet: a robust 3D object detection based on region approximation refinement[C] //Proceedings
of the IEEE Intelligent Vehicles Symposium. Los Alamitos: IEEE Computer Society …

… accurate and reliable environmental awareness for automatic driving system, and the
visual-… RoarNet: a robust 3D object detection based on RegiOn approximation refinement[ C]∥…

… hotspot in the field of 3D vision. Aiming at the 3D object detection based on LiDAR point cloud…
TANet: robust 3D object detection from point clouds with triple attention[C]// Proceedings of …

… 特征级融合先对各传感器采集的数据采用RoarNet (RegiOn Approximation Refinement
Network),AVOD (Aggregate View Obeject Detection),MV3D(Multi-View 3D),F-PointNet(Frustum …