[1] 张艳辉, 徐坤, 郑春花, 等. 智能电动汽车信息感知技术研究进展[J]. 仪器仪表学报, 2017, 38(4): 794‐805 doi:  10.3969/j.issn.0254-3087.2017.04.002

Zhang Yanhui, Xu Kun, Zheng Chunhua, et al. Advanced Research on Information Perception Technologies of Intelligent Electric Vehicles[J]. Chinese Journal of Scientific Instrument, 2017, 38(4): 794‐805 doi:  10.3969/j.issn.0254-3087.2017.04.002
[2] 龚健雅, 季顺平. 从摄影测量到计算机视觉[J]. 武汉大学学报·信息科学版, 2017, 42 (11): 1 518‐1 522 doi:  10.13203/j.whugis20170283

Gong Jianya, Ji Shunping. From Photogrammetry to Computer Vision[J]. Geomatics and Information Science of Wuhan University, 2017, 42(11) : 1 518‐1 522 doi:  10.13203/j.whugis20170283
[3] Verma S, Berrio J S, Worrall S, et al. Automatic Extrinsic Calibration Between a Camera and a 3D LiDAR Using 3D Point and Plane Correspondences [C]//IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand, 2019
[4] 夏鹏飞, 尹慧琳, 何艳侠. 基于最大互信息的激光雷达与相机的配准[J]. 仪器仪表学报, 2018, 39(1): 34‐41

Xia Pengfei, Yin Huilin, He Yanxia. Calibration of LiDAR and Camera Based on Maximum Mutual Information[J]. Chinese Journal of Scientific Instrument, 2018, 39(1): 34‐41
[5] 肖军浩, 施成浩, 黄开宏, 等. 单目相机‐3维激光雷达的外参标定及融合里程计研究[J]. 机器人, 2021, 43(1): 17‐28

Xiao Junhao, Shi Chenghao, Huang Kaihong, et al. Extrinsic Calibration and Fused Odometry for Monocular Camera and 3D LiDAR[J]. Robot, 2021, 43(1): 17‐28
[6] Gomez‐Ojeda R, Briales J, Fernandez‐Moral E, et al. Extrinsic Calibration of a 2D Laser‐Rangefinder and a Camera Based on Scene Corners[C]//IEEE International Conference on Robotics and Automation, Seattle, USA, 2015
[7] Bai Z X, Jiang G, Xu A L. LiDAR‐Camera Calibration Using Line Correspondences[J]. Sensors, 2020, 20(21): 6 319‐6 336 doi:  10.3390/s20216319
[8] Napier A, Corke P, Newman P. Cross‐Calibration of Push‐Broom 2D LiDAR and Cameras in Natural Scenes[C]//IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, 2013
[9] Pandey G, McBride J R, Savarese S, et al. Automatic Extrinsic Calibration of Vision and LiDAR by Maximizing Mutual Information[J]. Journal of Field Robotics, 2015, 32(5): 696‐722 doi:  10.1002/rob.21542
[10] Strobl K H, Hirzinger G. Optimal Hand‐Eye Calibration[C]//IEEE International Conference on Intelligent Robots and Systems, Beijing, China, 2006
[11] Huang K H, Stachniss C. Extrinsic Multi‐sensor Calibration for Mobile Robots Using the Gauss‐Helmert Model[C]//IEEE International Conference on Intelligent Robots and Systems, Vancouver, Canada, 2017
[12] Xu D F, Anguelov D, Jain A. PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation [C]//IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, USA, 2018
[13] Shin K, Kwon Y P, Tomizuka M. RoarNet: A Robust 3D Object Detection Based on Region Approximation Refinement[C]//IEEE Intelligent Vehicles Symposium(IV), Paris, France, 2019
[14] Ku J, Mozifian M, Lee J, et al. Joint 3D Proposal Generation and Object Detection from View Aggregation[C]//IEEE International Conference on Intelligent Robots and Systems, Madrid, Spain, 2018
[15] Hazirbas C, Ma L N, Domokos C, et al. FuseNet: Incorporating Depth into Semantic Segmentation via Fusion‐Based CNN Architecture[C]//Asian Conference on Computer Vision, Taipei, China, 2016
[16] Schneider N, Piewak F, Stiller C, et al. RegNet: Multimodal Sensor Registration Using Deep Neural Networks[C]//IEEE Intelligent Vehicles Symposium(IV), Los Angeles, USA, 2017
[17] Iyer G, Ram R K, Murthy J K, et al. CalibNet: Geometrically Supervised Extrinsic Calibration Using 3D Spatial Transformer Networks[C]//IEEE International Conference on Intelligent Robots and Systems, Madrid, Spain, 2018
[18] Zhang Q L, Pless R. Extrinsic Calibration of a Camera and Laser Range Finder(Improves Camera Calibration)[C]//IEEE International Conference on Intelligent Robots and Systems, Sendai, Japan, 2004
[19] Pandey G, Mcbride J, Savarese S, et al. Extrinsic Calibration of a 3D Laser Scanner and an Omnidirectional Camera[J]. International Federation of Automatic Control, 2010, 43(16): 336‐341 http://pdfs.semanticscholar.org/684e/c0385d82e141837d481bc17c32c183bb64c5.pdf
[20] Geiger A, Moosmann F, Car Ö, et al. Automatic Camera and Range Sensor Calibration Using a Single Shot[C]// IEEE International Conference on Robotics and Automation, Saint Paul, USA, 2012
[21] Kim E S, Park S Y. Extrinsic Calibration Between Camera and LiDAR Sensors by Matching Multiple 3D Planes[J]. Sensors, 2019, 20(1): 52‐69 doi:  10.3390/s20010052
[22] Zhou L P, Li Z M, Kaess M. Automatic Extrinsic Calibration of a Camera and a 3D LiDAR Using Line and Plane Correspondences[C]// IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, Spain, 2018
[23] 祝飞, 范佳, 黄玉春, 等. 融合多种棋盘格约束的面阵相机和线激光外参标定[J]. 武汉大学学报·信息科学版, 2019, 44 (10): 1 524‐1 529 doi:  10.13203/j.whugis20180022

Zhu Fei, Fan Jia, Huang Yuchun, et al. Extrinsic Calibration of Camera and 2D Laser‐Rangefinder with Various Chessboard Constrains[J]. Geomatics and Information Science of Wuhan University, 2019, 44(10): 1 524‐1 529 doi:  10.13203/j.whugis20180022
[24] Park Y, Yun S, Won C S, et al. Calibration Between Color Camera and 3D LiDAR Instruments with a Polygonal Planar Board[J]. Sensors, 2014, 14(3): 5 333‐5 353 doi:  10.3390/s140305333
[25] Pusztai Z, Hajder L. Accurate Calibration of LiDARCamera Systems Using Ordinary Boxes[C]//IEEE International Conference on Computer Vision Workshops, Venice, Italy, 2017
[26] Lee G M, Lee J H, Park S Y. Calibration of VLP‐16 LiDAR and Multi‐View Cameras Using a Ball for 360 Degree 3D Color Map Acquisition[C]//IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Daegu, Korea, 2017
[27] Dhall A, Chelani K, Radhakrishnan V, et al. LiDAR‐Camera Calibration Using 3D‐3D Point Correspondences[EB/OL]. [2017‐05‐27]. https://arxiv. org/abs/1705. 09785
[28] Chai Z Q, Sun Y X, Xiong Z H. A Novel Method for LiDAR Camera Calibration by Plane Fitting [C]//IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Auckland, New Zealand, 2018
[29] Zhang Z. A Flexible New Technique for Camera Calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22 (11) : 1 330‐1 334 doi:  10.1109/34.888718
[30] Lepetit V, Moreno‐Noguer F, Fua P. EPnP: An Accurate O(n)Solution to the PnP Problem[J]. International Journal of Computer Vision, 2009, 81 (2): 155‐166 doi:  10.1007/s11263-008-0152-6
[31] Fischler M A, Bolles R C. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography[J]. Communications of the ACM, 1981, 24(6): 381‐395 doi:  10.1145/358669.358692
[32] Arun K S, Huang T S, Blostein S D. Least‐Squares Fitting of Two 3‐D Point Sets[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987, 9(5): 698‐700