[1] GU S,ZHANG Y,TANG J,et al. Integrating dense lidar-camera road detection maps by a multi-modal crf model[J]. IEEE Transactions on Vehicular Technology,2019,68(12):11635-11645. [2] BASSO F,MENEGATTI E,PRETTO A. Robust intrinsic and extrinsic calibration of rgb-d cameras[J]. IEEE Transactions on Robotics,2018,34(5):1315-1332. [3] WALLACE A M,HALIMI A,BULLER G S. Full waveform lidar for adverse weather conditions[J]. IEEE Transactions on Vehicular Technology,2020,69(7):7064-7077. [4] CHEN X,MA H,WAN J,et al. Multi-view 3d object detection network for autonomous driving[C]//Institute of Electrical and Electronics Engineers. IEEE Conference on Computer Vision and Pattern Recognition,July 21-26,2017,Honolulu,Hawaii. New York:IEEE,2017:6526-6534 [5] RANGESH A,TRIVEDI M M. No blind spots:full-surround multi-object tracking for autonomous vehicles using cameras and lidars[J]. IEEE Transactions on Intelligent Vehicles,2019,4(4):588-599. [6] 孙殿柱,沈江华,李延瑞,等. 序列图像约束的点云初始配准方法[J]. 机械工程学报,2020,56(9):229-236. SUN Dianzhu,SHEN Jianghua,LI Yanrui,et al. Initial registration method of point cloud based on sequence images[J]. Journal of Mechanical Engineering,2020,56(9):229-236. [7] ZHEN W,HU Y,LIU J,et al. A joint optimization approach of lidar-camera fusion for accurate dense 3-d reconstructions[J]. IEEE Robotics and Automation Letters,2019,4(4):3585-3592. [8] 丁雅斌,梅江平,张文昌,等. 基于单目视觉的并联机器人末端位姿检测[J]. 机械工程学报,2014,50(21):174-179. DING Yabin,MEI Jiangping,ZHANG Wenchang,et al. Position and orientation measurement of parallel robot based on monocular vision[J]. Journal of Mechanicd Engineering,2014,50(21):174-179. [9] 乔贵方,孙大林,宋光明,等. 串联机器人标定系统的坐标系快速转换方法[J]. 机械工程学报,2020,56(14):1-8. QIAO Guifang,SUN Dalin,SONG Guangming,et al. A rapid coordinate transformation method for serial robot calibration system[J]. Journal of Mechanical Engineering,2020,56(14):1-8. [10] 张铁,叶景杨,刘晓刚. 面向机器人砂带打磨的加权手眼标定算法[J]. 机械工程学报,2018,54(17):142-148. ZHANG Tie,YE Jingyang,LIU Xiaogang. Weighted hand-eye calibration algorithm for robot grinding[J]. Journal of Mechanical Engineering,2018,54(17):142-148. [11] 李兵,傅卫平,王雯,等. 一种基于EIH的装配机器人标定方法[J]. 机械工程学报,2018,54(7):38-44. LI Bing,FU Weiping,WANG Wen,et al. Eih based calibration method for assembly robot[J]. Journal of Mechanical Engineering,2018,54(7):38-44. [12] 薛培林,吴愿,殷国栋,等. 基于信息融合的城市自主车辆实时目标识别[J]. 机械工程学报,2020,56(12):165-173. XUE Peilin,WU Yuan,YIN Guodong,et al. Real-time target recognition for urban autonomous vehicles based on information fusion[J]. Journal of Mechanical Engineering,2020,56(12):165-173. [13] WANG W,SAKURADA K,KAWAGUCHI N. Reflectance intensity assisted automatic and accurate extrinsic calibration of 3d lidar and panoramic camera using a printed chessboard[J]. Remote Sensing,2017,9(8):851. [14] AN Y,LI B,HU H,et al. Building an omnidirectional 3d color laser ranging system through a novel calibration method[J]. IEEE Transactions on Industrial Electronics,2019,66(11):8821-8831. [15] ITAMI F,YAMAZAKI T. An improved method for the calibration of a 2d lidar with respect to a camera by using a checkerboard target[J]. IEEE Sensors Journal,2020,20(14):7906-7917. [16] ZHANG Q,PLESS R. Extrinsic calibration of a camera and laser range finder (improves camera calibration)[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems,September 28-Octorber 2,2004,Sendai,Japan. New York:IEEE,2004:2301-2306. [17] 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,May 14-18,2012,Saint Paul,MN,USA. New York:IEEE,2012:3936-3943. [18] 康国华,张琪,张晗,等. 基于点云中心的激光雷达与相机联合标定方法研究[J]. 仪器仪表学报,2019,40(12):121-129. KANG Guohua,ZHANG Qi,ZHANG Han,et al. Joint calibration of camera and lidar based on point cloud center[J]. Chinese Journal of Scientific Instrument,2019,40(12):121-129. [19] CHAI Z,SUN Y,XIONG Z. A novel method for lidar camera calibration by plane fitting[C]//2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics,July 9-12,2018,Auckland,New Zealand. New York:ASME,2018:286-291. [20] KANG J,DOH N L. Full-dof calibration of a rotating 2-d lidar with a simple plane measurement[J]. IEEE Transactions on Robotics,2016,32(5):1245-1263. [21] PARK Y,Yun S,Won C,et al. Calibration between color camera and 3d lidar instruments with a polygonal planar board[J]. Sensors,2014,14(3):5333-53. [22] XIE S,YANG D,JIANG K,et al. Pixels and 3-d points alignment method for the fusion of camera and lidar data[J]. IEEE Transactions on Instrumentation and Measurement,2019,68(10):3661-3676. [23] CAI H,PANG W,CHEN X,et al. A novel calibration board and experiments for 3d lidar and camera calibration[J]. Sensors,2020,20(4):1130. [24] 许涵博. 面向自动驾驶系统的相机-激光雷达的自动标定[D]. 哈尔滨:哈尔滨工业大学,2019. XU Hanbo. Online intelligent calibration of cameras and lidars for autonomous driving systems[D]. Harbin:Harbin Institute of Technology,2019. [25] GONG X,LIN Y,LIU J. 3d lidar-camera extrinsic calibration using an arbitrary trihedron[J]. Sensors,2013,13(2):1902-1918. [26] CUI T,JI S,SHAN J,et al. Line-based registration of panoramic images and lidar point clouds for mobile mapping[J]. Sensors,2017,17(1):70. [27] BROWN M,WINDRIDGE D,GUILLEMAUT J Y. A family of globally optimal branch-and-bound algorithms for 2d-3d correspondence-free registration[J]. Pattern Recognition,2019,93:36-54. [28] PANDEY G,MCBRIGE 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. [29] HUANG X,ZHANG J,FAN L,et al. A systematic approach for cross-source point cloud registration by preserving macro and micro structures[J]. IEEE Transactions on Image Processing,2017,26(7):3261-3276. [30] YANG J,QUAN S,WANG P,et al. Evaluating local geometric feature representations for 3D rigid data matching[J]. IEEE Transactions on Image Processing,2019,29:2522-2535. [31] PENATE-SANCHEZ A,ANDRADE-CETTO J,MORENO-NOGUER F. Exhaustive linearization for robust camera pose and focal length estimation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(10):2387-2400. [32] HADFIELD S,LEBEDA K,BOWDEN R. Hard-pnp:pnp optimization using a hybrid approximate representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2018,41(3):768-774. |