Material handling devices operation enyironment 3D-type presentation based on laser scanning systems

• Autorzy: Szpytko J. , Hyla P.
• Języki publikacji: PL

Abstrakty

EN

The paper is focusing on the material handling devices operation environment 3D-type presentation based on laser scanning systems and point of cloud data approach. Main attention was fixed at overhead travelling cranes and their operation space zone with determined and random character factor influences the workspace spatial volume. Supervising the transport means workspace get possibility mark out the optimum grade-separated trajectory for transferring cargo in automatic mode. On the base 3D type seans was generated digital model of the plant/laboratory hall, where crane has been installed. In the next step the same laboratory hall and their characteristic points was measure with the help geodetic device and compare with laser scanning data. Other part of the paper is presenting a methodology for 3D type object scanning with use surface segmentation for reduce the number of points given by the industrial scan objects like a hall where an overhead travelling crane is operating. This procedure replace traditional 3D type scanner rotation mode with the planar mode of scanning. In this case the laser beam examines the object only in one direction, it is ideal for scan the workspacefor the transport means with Cartesian operation environment and opens kinematics chain.

Słowa kluczowe

EN

point of cloud; laser scanning system; and material handling devices

• Wydawca: Łukasiewicz Research Network - Institute of Aviation ; European Science Society of Powertrain and Transport KONES Poland ; Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONES
• Rocznik: 2010
• Tom: Vol. 17, No. 2
• Strony: 451--458
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Szpytko J.

autor

Hyla P.

• AGH University of Science and Technology Faculty of Mechanical Engineering Mickiewicza Av., 30-059 Kraków, Poland tel: + 48 12 6173103, fax: + 48 12 6173531,

Bibliografia

• [1] Bahadir, E., A novel 3D geometric object filtering function for application in indoor area with terrestrial laser scanning data, Optics & Laser Technology, Vol. 42, pp. 799-804, 2010.
• [2] Buck, U., Naether, S., Braun, M., Bolliger, S., Friederich, H., Jackowski, Ch., Aghayev, E., Christe, A., Vock, P., Dirnhofer, R,. Thali, M., Application of 3D documentation and geometric reconstruction methods in traffic accident analysis: With high resolution surface scanning, radiological MSCT/MRI scanning and real data based animation, Forensic Science International, Vol. 170, pp. 20-28, 2007.
• [3] Cici, A., Smith-Voysey, S., Jarvis, C., Tansey, K., Integrating building footprints and LiDAR elevation data to classify roof structures and visualize buildings, Computers, Environment and Urban Systems, Vol. 33, pp. 285-292, 2009.
• [4] Fontana, R., Gambino, M. C., Gianfrate, G., Greco, M., Marras, L., Materazzi, M., Time of flight laser scanner for architectural and archaeological applications. Proceedings of the International Society for Optical Engineering, Vol. 5146, pp. 185-93, 2003.
• [5] Gruen, A., Akca, D., Least squares 3D surface and curve matching, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 59, pp. 74-151, 2005.
• [6] Leica Geosystems AG, Leica TPS Series, Product brochure, Heerbrugg, Switzerland 2004.
• [7] Lemmens, M., 3D laser mapping. GIM International, Vol. 18, pp. 7-44, 2004.
• [8] Lichti, D., Gordon, S. J., Stewart, M. P., Ground-based laser scanners: Operation, systems and applications. Geomatica, Vol. 56, pp. 21-33, 2002.
• [9] Remondino, F., From point Cloud to surface: The modelling and visualization problem, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXIV-5/W10, pp. 11, International Workshop on Visualization and Animation of Reality-based 3D Models, Tarasp-Vulpera 2003.
• [10] Roca-Pardiñas, J., Lorenzo, H., Arias, P., Armesto, J., From laser point clouds to surfaces: Statistical nonparametric methods for three-dimensional reconstruction, Computer-Aided Design, Vol. 40, pp. 646-652, 2008.
• [11] Rusu, B., Marton, Z., Blodow, N., Dolha, M., Beetz, M., Towards 3D Point cloud based object maps for household environments, Robotics and Autonomous Systems, Vol. 56, pp. 927-941, 2008.
• [12] Schueremans, L., Van Genechten, B., The use of 3D-laser Canning In assessing the safety of masonry vaults - A case study on the church of Saint-Jacobs, Optics and Lasers in Engineering, Vol. 47, pp. 329-335, 2009.
• [13] Seokbae, S., Hyunpung, P., Kwan, H.L., Automated laser scanning system for reverse engineering and inspection, International Journal of Machine Tools & Manufacture, Vol. 42, pp. 889-897, 2002.
• [14] Smoczek, J., Szpytko, J., Zastosowanie algorytmów heurystycznych w systemach sterowania ruchem suwnic, Materiały XXII Konferencji Naukowej Problemy Rozwoju Maszyn Roboczych, Dokument elektroniczny, 12 stron, Zakopane 2009.
• [15] Szpytko, J., Hyla, P., Reverse engineering vision technique applying in transport systems, Journal of KONES Powertrain and Transport, Vol. 16, No. 3, pp. 395-400, Warsaw 2009.
• [16] Szpytko, J., Hyla, P., Work space supervising for material handling devices with machine vision assistance, Journal of KONBiN, Warszawa 2009.
• [17] Yamauchi, R., Ikeda, M., Shinoda, H., Walls surrounding a space work more efficiently construct a recognized visual space of illumination than do scattered objects. Optical Review, Vol. 10, No. 3, pp. 166-173, 2003.
• [18] Zoller+Fröhlich GmbH, The new way of scanning – highly accurate, fast, reliable and flexible, Advantages of the product: Imager 5006, 12 pages, Germany 2006.