Three-Dimensional Object Detection Method Based on Radar Point Cloud and Image Data

LI Wenping; YUAN Qiang; CHEN Lu; ZHENG Libiao; TANG Xiaolong

doi:10.3969/j.issn.1671-637x.2021.10.023

[2] WANG DPOSNER I.Voting for voting in online point cloud object detection［C］//Robotics:Science and Systems2015.doi:10.15607/RSS.2015.XI.035.

[3] XIE JDAI GZHU Fet al.Deepshape:deep-learned shape descriptor for 3D shape retrieval［J］.IEEE Tran-sactions on Pattern Analysis and Machine Intelligence 201739(7):1335-1345.

[4] DAI JLI YHE Ket al.R-FCN:object detection via region-based fully convolutional networks［C］//The 30th Conference on Neural Information Processing Systems 2016:379-387.

[7] ZHOU YTUZEL O.VoxelNet:end-to-end learning for point cloud based 3D object detection［C］//IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2018:4490-4499.

[8] YANG BLUO WURTASUN R.PIXOR:real-time 3D object detection from point clouds［C］//IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2018:7652-7660.

[9] CHEN XMA HWAN Jet al.Multi-view 3D object detection network for autonomous driving［C］//IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2017:6526-6534.

[10] KU JMOZIFIAN MLEE Jet al.Joint 3D proposal generation and object detection from view aggregation［C］//IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2017:5750-5757.

[11] QI CLIU WWU Cet al.Frustum PointNets for 3D object detection from RGB-D data［C］//IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)2018:918-927.

[13] LIN T YGOYAL PGIRSHICK Ret al.Focal loss for dense object detection［C］//Proceedings of the IEEE International Conference on Computer VisionVenice 2017:2999-3007.

[14] LI MHU YZHAO Net al.One-stage multi-sensor data fusion convolutional neural network for 3D object detection［J］.Sensors201919(6).doi:10.3390/s19061434.

[15] GEIGER ALENZ PURTASUN R.Are we ready for autonomous driving? The KITTI vision benchmark suite［C］//IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2012:3354-3361.

[17] LIN TDOLLAR PGIRSHICK Ret al.Feature pyramid networks for object detection［C］//IEEE Conference on Computer Vision and Pattern Recognition(CVPR)2017:936-944.