Low-cost framework for 3D reconstruction and track detection of the railway network using video data

Acharya, 2005 Adham, 2020, Railway Tracks Detection of Railways Based on Computer Vision Technique and Gnss Data, 1 Alshawabkeh, 2020, Linear Feature Extraction from Point Cloud Using Color Information, Heritage Sci., 8, 28, 10.1186/s40494-020-00371-6 Bay, 2008, Speeded-up Robust Features (SURF), Comput. Vis. Image Underst., 110, 346, 10.1016/j.cviu.2007.09.014 Brown, Duane C., 1971. “Close-Range Camera Calibration,” no. January. Chumachenko, 2013, Image Processing in UAV, 75 Evagorou, 2021, Digital Camera Calibration for Cultural Heritage Documentation: The Case Study of a Mass Digitization Project of Religious Monuments in Cyprus, Eur. J. Remote Sens., 54, 6, 10.1080/22797254.2020.1810131 Gabara, 2018, A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds, Sensors (Switzerland), 18, 10.3390/s18030791 García-Luna, 2019, Structure from Motion Photogrammetry to Characterize Underground Rock Masses: Experiences from Two Real Tunnels, Tunnel. Underground Space Technol., 83, 262, 10.1016/j.tust.2018.09.026 Hough, Paul V C., 1962. “A Method and Means for Recognition Complex Patterns; US Patent: US3069654A.” US Patent, 6. Inc., GoPro. 2016. “GoPro Hero 5 Black User Manual.” https://gopro.com/content/dam/help/hero5-black/manuals/. Kaleli, 2009, Vision-Based Railroad Track Extraction Using Dynamic Programming, IEEE Conf. Intelligent Transp. Syst., Proc., ITSC, 42–47 Karakose, Mehmet, Orhan Yaman, Mehmet Baygin, Kagan Murat, and Erhan Akin. 2017. “A New Computer Vision Based Method for Rail Track Detection and Fault Diagnosis in Railways” 6 (1): 22–27. doi:10.18178/ijmerr.6.1.22-27. Katiyar, S. K., Arun, P. V., 2014. “Comparative Analysis of Common Edge Detection Techniques in Context of Object Extraction” 50 (11): 68–79. http://arxiv.org/abs/1405.6132. Kholil, 2021, 3D Reconstruction Using Structure From Motion (SFM) Algorithm and Multi View Stereo (MVS) Based on Computer Vision, IOP Conf. Ser.: Mater. Sci. Eng., 1073, 10.1088/1757-899X/1073/1/012066 Kurkela, 2020, Applying Photogrammetry to Reconstruct 3D Luminance Point Clouds of Indoor Environments, Architect. Eng. Des. Manage., 1 Leavers, 1992 Li, 2014, Rail Component Detection, Optimization, and Assessment for Automatic Rail Track Inspection, IEEE Trans. Intelligent Transp. Syst., 15, 760, 10.1109/TITS.2013.2287155 Liu, 2019, A Review of Applications of Visual Inspection Technology Based on Image Processing in the Railway Industry, Transp. Saf. Environ., 1, 185, 10.1093/tse/tdz007 Lou, 2018, A Fast Algorithm for Rail Extraction Using Mobile Laser Scanning Data, Remote Sens. (Basel), 10 Maire, 2010, Obstacle-Free Range Determination for Rail Track Maintenance Vehicles, 2172 Miao, 2014, A Method for Accurate Road Centerline Extraction from a Classified Image, IEEE J. Selected Top. Appl. Earth Observ. Remote Sens., 7, 4762, 10.1109/JSTARS.2014.2309613 Neubert, M., Hecht, R., Gedrange, C., Trommler, M., Herold, H., Krüger, T., Brimmer, F., 2008. “Extraction of Railroad Objects From Very High Resolution Helicopter-Borne Lidar and Ortho-Image Data.” Commission VI, WG VI/4, no. August 2008-Corpus ID: 8845018, Environmental Science. Oude Elberink, 2013, Rail Track Detection and Modelling in Mobile Laser Scanner Data, ISPRS Ann. Photogrammetry, Remote Sens. Spatial Inf. Sci., 2, 223, 10.5194/isprsannals-II-5-W2-223-2013 S Sai, Silvester, Martinus E Tjahjadi, and Catur A Rokhmana, 2019. “Geometric Accuracy Assessments of Orthophoto Production from UAV Aerial Images.” KnE Engineering, 2019:333–44. doi:10.18502/keg.v4i3.5876. Saini, 2021, DroneRTEF: Development of a Novel Adaptive Framework for Railroad Track Extraction in Drone Images, Pattern Anal. Appl., 24, 1549, 10.1007/s10044-021-00994-w Singh, 2019, Vision Based Rail Track Extraction and Monitoring through Drone Imagery, ICT Express, 5, 250, 10.1016/j.icte.2017.11.010 Westoby, 2012, ”Structure-from-Motion”- Photogrammetry: A Novel, Low-Cost Tool for Geomorphological Applications, Geomorphology, 179, 300, 10.1016/j.geomorph.2012.08.021 Wohlfeil, 2011, Vision Based Rail Track and Switch Recognition for Self-Localization of Trains in a Rail Network, IEEE Intelligent Vehicles Symposium, Proceedings, Iv, 1025 Zhang, Zhe, and Kin Hong Wong. 2014. “A NOVEL GEOMETRIC APPROACH FOR CAMERA CALIBRATION,” no. 2: 5806–10. Zhang, Yesheng, Xu Zhao, and Dahong Qian, 2022. “Learning-Based Framework for Camera Calibration with Distortion Correction and High Precision Feature Detection.” Zhang, Zhengyou. 1998. “A Flexible New Technique for Camera Calibration.” Technical Report MSR-TR-98-71. http://research.microsoft.com/̃zhang.