[1] Wan G Y, Wang Y, Wang T, et al. Automatic registration for panoramic images and mobile lidar data based on phase hybrid geometry index features [J]. Remote Sensing, 2022, 14(19): 4783. doi:  10.3390/rs14194783
[2] Wang M Y, Liu R F, Yang J B, et al. Traffic sign three-dimensional reconstruction based on point clouds and panoramic images [J]. The Photogrammetric Record, 2022, 37(177): 87-110. doi:  10.1111/phor.12398
[3] Berganski C, Hoffmann A, Möller R. Tilt correction of panoramic images for a holistic visual homing method with planar-motion assumption [J]. Robotics, 2023, 12(1): 00020. doi:  10.3390/robotics12010020
[4] 蒋荣飞. 车载高性能全景影像拼接算法研究[D]. 成都: 电子科技大学, 2022.

Jiang R F. Research on high performance panoramic video stitching algorithm in vehicle[D]. Chengdu: School of Electronic Science and Engineering, 2022. (in Chinese)
[5] Karam S, Nex F, Chidura B T, et al. Microdrone-based indoor mapping with graph SLAM [J]. Drones, 2022, 6(11): 352. doi:  10.3390/drones6110352
[6] 张恒, 侯家豪, 刘艳丽. 基于动态区域剔除的RGB-D视觉SLAM算法[J]. 计算机应用研究, 2022, 39(03): 675-680.

Zhang H, Hou J H, Liu Y L. RGB-D visual SLAM algorithm based on dynamic region elimination [J]. Application Research of Computers, 2022, 39(3): 675-680. (in Chinese)
[7] Hütten N, Meyes R, Meisen T. Vision transformer in industrial visual inspection [J]. Applied Sciences, 2022, 12(23): 11981. doi:  10.3390/app122311981
[8] Shi H, Lei X K, Wan F. Spatial calibration method for master-slave camera based on panoramic image mosaic [J]. Optical Engineering, 2019, 58(4): 043105.
[9] 魏泊岩, 田庆国, 葛宝臻. 基于彩色编码相移条纹的相机标定[J]. 光电工程, 2021, 48(01): 200118.

Wei B Y, Tian G Q, Ge B Z. Camera calibration based on color-coded phase-shifted fringe [J]. Opto-Electronic Engineering, 2021, 48(1): 200118. (in Chinese)
[10] 胡志新, 王涛. 改进遗传算法优化BP神经网络的双目相机标定[J]. 电光与控制, 2022, 29(01): 75-79.

Hu Z X, Wang T. Binocular camera calibration based on BP neural network optimized by improved genetic algorithm [J]. Electronics Optics & Control, 2022, 29(1): 75-79. (in Chinese)
[11] 陈文艺, 许洁, 杨辉. 利用双神经网络的相机标定方法[J]. 红外与激光工程, 2021, 50(11): 20210071. doi:  10.3788/IRLA20210071

Chen W Y, Xu J, Yang H. Camera calibration method based on double neural network [J]. Infrared and Laser Engineering, 2021, 50(11): 20210071. (in Chinese) doi:  10.3788/IRLA20210071
[12] 侯艳丽, 苏显渝, 陈文静. 旋转视觉测量系统相机光心与转轴距离的标定方法[J]. 光学学报, 2022, 42(21): 2112001. doi:  10.3788/AOS202242.2112001

Hou Y L, Su X Y, Chen W J. Calibration method of distance between optical center of camera and rotation axis in rotating vision measurement system [J]. Acta Optica Sinica, 2022, 42(21): 2112001. (in Chinese) doi:  10.3788/AOS202242.2112001
[13] Cai X Q, Zhong K J, Fu Y J, et al. Calibration method for the rotating axis in panoramic 3D shape measurement based on a turntable [J]. Measurement Science and Technology, 2021, 32(3): 035004. doi:  10.1088/1361-6501/abcb7e
[14] Livio B, Ramtin M, Matteo P, et al. Automatic calibration of a two-axis rotary table for 3D scanning purposes [J]. Sensors, 2020, 20(24): 7107. doi:  10.3390/s20247107
[15] 吴军, 张美妙, 刘少禹, 等. 基于旋转标定板的多相机系统标定方法[J]. 激光与光电子学进展, 2022, 59(17): 1712002.

Wu J, Zhang M M, Liu S Y, et al. Calibration method for multicamera system based on rotating calibration plate [J]. Laser & Optoelectronics Progress, 2022, 59(17): 1712002. (in Chinese)
[16] Chai B H, Wei Z Z, Gao Y. Calibration method of spatial transformations between the non-orthogonal two-axis turntable and its mounted camera [J]. Optics Express, 2023, 31(10): 486816.
[17] Ye J, Xia G S, Liu F, et al. 3D reconstruction of line-structured light based on binocular vision calibration rotary axis [J]. Applied Optics, 2020, 59(27): 8272-8278. doi:  10.1364/AO.403356
[18] Xiao Y L, Li S K, Zhang Q C, et al. Optical fringe-reflection deflectometry with bundle adjustment [J]. Optics and Lasers in Engineering, 2018, 105: 132-140. doi:  10.1016/j.optlaseng.2018.01.013
[19] Christopher M, Patrick R. Single view point omnidirectional camera calibration from planar grids[C]// Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007, FrC2.3: 3945-3950.
[20] Wang P, Xu G L, Cheng Y H, et al. A simple, robust and fast method for the Perspective-n-Point problem [J]. Pattern Recognition Letters, 2018, 108: 31-37. doi:  10.1016/j.patrec.2018.02.028
[21] 黄健超. Levenberg-Marquardt方法的推广及其在大规模问题上的应用[D]. 上海: 上海交通大学, 2017.

Huang J C. The extensions of Levenberg-Marquardt method with applications to large-scale[D]. Shanghai: Shanghai Jiao Tong University, 2017. (in Chinese)
[22] Dario F, Antonio F. A Gauss-Newton iteration for total least squares problems [J]. BIT Numerical Mathematics, 2018, 58(2): 281-299. doi:  10.1007/s10543-017-0678-5
[23] 宗文鹏, 李广云, 李明磊, 等. 激光扫描匹配方法研究综述[J]. 中国光学, 2018, 11(06): 914-930. doi:  10.3788/co.20181106.0914

Zong W P, Li G Y, Li M L, et al. A survey of laser scan matching methods [J]. Chinese Optics, 2018, 11(6): 914-930. (in Chinese) doi:  10.3788/co.20181106.0914