[1] Keyan REN, Meiying GU, Zhengqian YUAN et al. Research review on 3D object detection for automatic driving. Control and Decision, 38, 1-2(2023).

[2] Ruilong LI. Research on 3D object detection technology in automatic driving scenario(2022).

[3] Z LIU, Z WU. SMOKE: Single-stage monocular 3D object detection via keypoint estimation, 996-997(2020).

[4] Y ZHOU, O TUZEL. Voxelnet: End-to-end learning for point cloud based 3D object detection, 4490-4499(2018).

[5] Y YAN, Y MAO, B LI. Second: Sparsely embedded convolutional detection. Sensors, 18, 3337(2018).

[6] X CHEN, H MA, J WAN et al. Multi-view 3D object detection network for autonomous driving, 1907-1915(2017).

[7] J KU, M MOZIFIAN, J LEE et al. Joint 3D proposal generation and object detection from view aggregation(2018).

[8] C R QI, W LIU, C WU et al. Frustum pointnets for 3D object detection from rgb-d data, 918-927(2018).

[9] C R QI, H SU, K MO et al. Pointnet: Deep learning on point sets for 3D classification and segmentation, 652-660(2017).

[10] C R QI, L YI, H SU et al. PointNet++: deep hierarchical feature learning on point sets in a metric space, 30(2017).

[11] S VORA, A H LANG, B HELOU et al. Pointpainting: Sequential fusion for 3d object detection, 4604-4612(2020).

[12] J PHILION, S FIDLER. Lift, splat, shoot: encoding images from arbitrary camera rigs by implicitly unprojecting to 3D, 194-210(2020).

[13] C Y WANG, H Y M LIAO, Y H WU et al. CSPNet: a new backbone that can enhance learning capability of CNN, 390-391(2020).

[14] T Y LIN, P DOLLAR, R GIRSHICK et al. Feature pyramid networks for object detection, 2117-2125(2017).

[15] S LIU, L QI, H QIN et al. Path aggregation network for instance segmentation, 8759-8768(2018).

[16] K HE, X ZHANG, S REN et al. Spatial pyramid pooling in deep convolutional networks for visual recognition, 37, 1904-1916(2015).

[17] A H LANG, S VORA, H CAESAR et al. Pointpillars: fast encoders for object detection from point clouds, 12697-12705(2019).

[18] T YIN, X ZHOU, P KRAHENBUHL. Center-based 3D object detection and tracking, 11784-11793(2021).

[19] G SALTON, M J MCGILL. Introduction to modern information retrieval. McGraw-Hill(1986).

[20] M EVERINGHAM, L VAN GOOL, C K I WILLIAMS et al. The pascal Visual Object Classes(VOC) challenge. International Journal of Computer Vision(IJCV), 88, 303-338(2010).

[21] A GEIGER, P LENZ, R URTASUN. Are we ready for Autonomous Driving？, 3354-3361(2012).

[22] B ZHU, Z JIANG, X ZHOU et al. Class-balanced grouping and sampling for point cloud 3D object detection(2019).

[23] Y ZHOU, P SUN, Y ZHANG et al. End-to-end multi-view fusion for 3D object detection in LiDAR point clouds, 923-932(2020).

[24] V A SINDAGI, Y ZHOU, O TUZEL. Mvx-Net: multimodal voxelnet for 3d object detection, 7276-7282(2019).