[1] Nikolov M. Trends in development of weld overlaying during the 21ST century[J]. Acta Technologica Agriculturae, 17, 35-38(2014).

[2] Xu Y L, Wang Z H. Visual sensing technologies in robotic welding: recent research developments and future interests[J]. Sensors and Actuators A: Physical, 320, 112551(2021).

[3] Li T Y, Liu C W, Duan F J et al. Analysis of factors influencing accuracy in line-structured light three-dimensional surface measurement systems[J]. Acta Optica Sinica, 44, 2112001(2024).

[4] Lai Y, Wang J D, Guo H R et al. Online detection method for metro pantograph wear based on line-laser measurement[J]. Chinese Journal of Lasers, 50, 2304001(2023).

[5] Li Y H, Zhao B C, Hu P et al. Universal calibration method for line structured light galvanometer scanning system[J]. Acta Optica Sinica, 42, 1015001(2022).

[6] Li X D, Li X H, Ge S S et al. Automatic welding seam tracking and identification[J]. IEEE Transactions on Industrial Electronics, 64, 7261-7271(2017).

[7] Gong Y F, Dai X Z, Li X D. Robust joint recognition with structured-light vision sensing[J]. Transactions of the China Welding Institution, 30, 85-88, 117(2009).

[8] Wang N F, Zhong K F, Shi X D et al. A robust weld seam recognition method under heavy noise based on structured-light vision[J]. Robotics and Computer-Integrated Manufacturing, 61, 101821(2020).

[9] Xie S, Wei X, Liang Z M. Fillet welds recognition based on inter-frame matching denoising[J]. Electric Welding Machine, 50, 48-53, 134(2020).

[10] Du R Q, Xu Y L, Hou Z et al. Strong noise image processing for vision-based seam tracking in robotic gas metal arc welding[J]. The International Journal of Advanced Manufacturing Technology, 101, 2135-2149(2019).

[11] Chen S F, Yang D Z, Liu J et al. Automatic weld type classification, tacked spot recognition and weld ROI determination for robotic welding based on modified YOLOv5[J]. Robotics and Computer-Integrated Manufacturing, 81, 102490(2023).

[12] Zou Y B, Li J C, Chen X Z et al. Learning Siamese networks for laser vision seam tracking[J]. Journal of the Optical Society of America A, 35, 1805-1813(2018).

[13] Xiao R Q, Xu Y L, Xu F J et al. LSFP-tracker: an autonomous laser stripe feature point extraction algorithm based on Siamese network for robotic welding seam tracking[J]. IEEE Transactions on Industrial Electronics, 71, 1037-1048(2024).

[14] Henriques J F, Caseiro R, Martins P et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 583-596(2015).

[15] Wang K Y, Chen Z G, Fu Y. Target anti-occlusion algorithm based on correlation filter[J]. Laser & Optoelectronics Progress, 56, 030401(2019).

[16] Gong S Q, Zhang G B, Zhu H W. Weld seam tracking method under strong noise based on kernel correlation filters[J]. Laser Technology, 49, 289-295(2025).

[17] Felzenszwalb P F, Girshick R B, McAllester D et al. Object detection with discriminatively trained part-based models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 1627-1645(2010).

[18] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C], 886-893(2005).

[19] Yu S F, Guan Y S, Yang Z et al. Multiseam tracking with a portable robotic welding system in unstructured environments[J]. The International Journal of Advanced Manufacturing Technology, 122, 2077-2094(2022).

[20] Wang M M, Liu Y, Huang Z Y. Large margin object tracking with circulant feature maps[C], 4800-4808(2017).

[21] Grabner H, Grabner M, Bischof H. Real-time tracking via on-line boosting[C], 6(2006).

[22] Lukežič A, Vojíř T, Čehovin Zajc L et al. Discriminative correlation filter tracker with channel and spatial reliability[J]. International Journal of Computer Vision, 126, 671-688(2018).

[23] Kalal Z, Mikolajczyk K, Matas J. Forward-backward error: automatic detection of tracking failures[C], 2756-2759(2010).

[24] Babenko B, Yang M H, Belongie S. Visual tracking with online multiple instance learning[C], 983-990(2009).

[25] Bolme D S, Beveridge J R, Draper B A et al. Visual object tracking using adaptive correlation filters[C], 2544-2550(2010).

[26] Kalal Z, Mikolajczyk K, Matas J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 1409-1422(2012).

[27] Held D, Thrun S, Savarese S. Learning to track at 100 FPS with deep regression networks[M]. Computer vision-ECCV 2016, 9905, 749-765(2016).

[28] Zhu Z, Wang Q, Li B et al. Distractor-aware Siamese networks for visual object tracking[M]. Computer vision-ECCV 2018, 11213, 103-119(2018).

[29] Zou Y B, Lan R, Wei X Z et al. Robust seam tracking via a deep learning framework combining tracking and detection[J]. Applied Optics, 59, 4321-4331(2020).

[30] Jocher G. Ultralytics/yolov5[EB/OL]. https://github.com/ultralytics/yolov5