498
Views
4
CrossRef citations to date
0
Altmetric
Articles

A new data preprocessing method for 3D reconstruction of pavement

, , , &
Pages 675-689 | Received 12 Jan 2019, Accepted 14 Jun 2019, Published online: 26 Jun 2019

References

  • Bernardini, F., et al., 1999. The ball-pivoting algorithm for surface reconstruction. IEEE Transactions on Visualization and Computer Graphics, 5 (4), 349–359. doi: 10.1109/2945.817351
  • Dai, J. L., 2006. A research on pre processing algorithms of mass point cloud. Zhejiang University (in Chinese).
  • Edelsbrunner, H, 1998. Shape reconstruction with Delaunay complex. Paper presented at the Latin American Symposium on Theoretical Informatics.
  • Ekhtari, N., Glennie, C., and Fernandez-Diaz, J. C, 2018. Classification of airborne multispectral Lidar point clouds for land cover mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (6), 2068–2078. doi:10.1109/JSTARS.2018.2835483.
  • Francois, Blais, 2003. Review of 20 years of range sensor development. Videometrics VII. Proceedings of SPIE-IS&T Electronic Imaging, 5013 (1), 228–240.
  • Friedman, J. H., Bentley, J. L., and Finkel, R. A, 1976. An algorithm for finding best matches in logarithmic time. ACM Transactions on Mathematical Software, 3 (2), 209–226. SLAC-PUB-1549-REV.
  • Furukawa, Y., et al., 2010. Towards Internet-scale multi-view stereo. Paper presented at the Computer Vision and Pattern Recognition.
  • Fwa, T., Pasindu, H., and Ong, G, 2012. Critical rut depth for pavement maintenance based on vehicle skidding and hydroplaning consideration. Journal of Transportation Engineering, 138 (4), 423–429. doi: 10.1061/(ASCE)TE.1943-5436.0000336
  • Guan, H., et al., 2015. Iterative tensor voting for pavement crack extraction using mobile laser scanning data. IEEE Transactions on Geoscience and Remote Sensing, 53 (3), 1527–1537. doi: 10.1109/TGRS.2014.2344714
  • Harltey, A. and Zisserman, A, 2003. Multiple view geometry in computer vision. 2nd ed England: Cambridge University Press.
  • Hoppe, H., et al., 1992. Surface reconstruction from unorganized points. ACM SIGGRAPH Computer Graphics, 26 (2), 71–78. doi: 10.1145/142920.134011
  • Hu, X. and Yuan, Y, 2016. Deep-learning-based classification for DTM extraction from ALS point cloud. Remote Sensing, 8 (9), 730–745. doi: 10.3390/rs8090730
  • Huang, H., et al., 2009. Consolidation of unorganized point clouds for surface reconstruction. ACM Transactions on Graphics, 28 (5), 1–7. doi: 10.1145/1618452.1618522
  • Jiang, C. and Tsai, Y.J., 2016. Enhanced crack segmentation algorithm using 3D pavement data. Journal of Computing in Civil Engineering, 30 (3), 04015050. doi: 10.1061/(ASCE)CP.1943-5487.0000526
  • Kim, K.H. and Shan, J., 2011. Building roof modeling from airborne laser scanning data based on level set approach. ISPRS Journal of Photogrammetry and Remote Sensing, 66 (4), 484–497. doi: 10.1016/j.isprsjprs.2011.02.007
  • Koch, C., and Brilakis, I., 2011. Pothole detection in asphalt pavement images. Advanced Engineering Informatics, 25 (3), 507–515. doi: 10.1016/j.aei.2011.01.002
  • Lettsome, C.A., 2012. Enhanced adaptive filter-bank-based automated pavement crack detection and segmentation system. Journal of Electronic Imaging, 21 (4), 3008. doi: 10.1117/1.JEI.21.4.043008
  • Li, Bao, Schnabel, Ruwen, Klein, Reinhard, et al., 2010. Robust normal estimation for point clouds with sharp features. Computers & Graphics, 34 (2), 94–106. doi:10.1016/j.cag.2010.01.004.
  • Lin, X., and Zhang, J., 2014. Segmentation-based filtering of airborne LiDAR point clouds by progressive densification of terrain segments. Remote Sensing, 6 (2), 1294–1326. doi: 10.3390/rs6021294
  • Lipman, Y., et al., 2007. Parameterization-free projection for geometry reconstruction. Paper presented at the ACM SIGGRAPH.
  • Liu, R. F., 2015. Expressway road surface point filtering for mobile laser scanning data. Journal of Wuhan University Information Science Edition, 40 (6), 751–755. (in Chinese).
  • Ma, L., et al., 2018. Mobile laser scanned point-clouds for road object detection and extraction: a review. Remote Sensing, 10 (10), 1531. doi: 10.3390/rs10101531
  • Mattei, E., and Castrodad, A., 2017. Point cloud denoising via moving RPCA. Paper presented at the Computer Graphics Forum.
  • Rakotosaona, M. J., et al., 2019. POINTCLEANNET: Learning to denoise and remove outliers from dense point clouds.
  • Rusu, R. B., et al., 2008. Towards 3D point cloud based object maps for household environments. Robotics and Autonomous Systems, 56 (11), 927–941. doi: 10.1016/j.robot.2008.08.005
  • Schall, O., Belyaev, A., and Seidel, H. P., 2005. Robust filtering of noisy scattered point data. Paper presented at the Eurographics/IEEE Vgtc Conference on Point-Based Graphics.
  • Sun, Y., Schaefer, S., and Wang, W., 2015. Denoising point sets via L 0 minimization.
  • Tola, E., Strecha, C., and Fua, P, 2012. Efficient large-scale multi-view stereo for ultra high-resolution image sets. Machine Vision and Applications, 23 (5), 903–920. doi: 10.1007/s00138-011-0346-8
  • Tsai, Y.-C., and Chatterjee, A, 2018. Pothole detection and classification using 3D technology and watershed method. Journal of Computing in Civil Engineering, 32 (2), 04017078. doi: 10.1061/(ASCE)CP.1943-5487.0000726
  • Tsai, J. Y.-C., Li, F., and Wu, Y.-C, 2013. A new rutting measurement method using emerging 3D line-laser-imaging system. International Journal of Pavement Research and Technology, 6 (5), 667–672.
  • Venkateswarlu, R, 1999. Max-mean and max-median filters for detection of small targets. Proceedings of SPIE - The International Society for Optical Engineering, 3809, 74–83.
  • Walker, R.S. and Harris, R.L., 1991. Noncontact pavement crack detection system. Transportation Research Record, 21 (1311), 149–157.
  • Wang, Y., et al., 2013. An adaptive normal estimation method for scanned point clouds with sharp features. Computer-Aided Design, 45 (11), 1333–1348. doi: 10.1016/j.cad.2013.06.003
  • Wolff, K., Kim, C., Zimmer, H., et al., 2016. Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction. 2016 Fourth International Conference on 3D Vision (3DV), 118–127. doi:10.1109/3DV.2016.20.
  • Wu, Q. F., 2015. Research on pavement modeling technologies based on point cloud. Harbin Institute of Technology (in Chinese).
  • Zhang, S. W., Min, L. I., and Fang, X. F, 2010. Research on the curve-fitting technique based on improved MLS algorithm. Machinery & Electronics, 3 (11), 25–33.
  • Zhang, K., and Whitman, D, 2005. Comparison of three algorithms for filtering airborne lidar data. Photogrammetric Engineering & Remote Sensing, 71 (3), 313–324. doi: 10.14358/PERS.71.3.313
  • Zheng, Y., et al., 2017. Guided point cloud denoising via sharp feature skeletons. Visual Computer, 33 (1), 1–11. doi: 10.1007/s00371-016-1340-y

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.