• DocumentCode
    3325567
  • Title

    Mosaic research with 3D lidar point cloud of civil aircraft

  • Author

    Huabo Sun ; Boren Luo ; Liling Yu ; Xiaoming Ma ; Lei Yan

  • Author_Institution
    Inst. of Aviation Safety, Beijing, China
  • fYear
    2013
  • fDate
    23-24 Dec. 2013
  • Firstpage
    683
  • Lastpage
    686
  • Abstract
    Following aircraft accident, reconstruction and splice of wreckage is an important aspect for the survey work. By splicing the wreckage, we can find the most serious damage position and determine the attitude, speed of the aircraft, and so on. It provides effective technical support to accident investigation. However, wreckage splice is very difficult and needs large of time and funds. With development of computer and measurement technology, 3D wreckage splice has become been achieved by using computer. By using 3D point cloud data of segmentation aircraft, we propose a mosaic method and achieve wreckage splice with improved iterative closest point algorithm in this paper. It will be helpful to investigate the cause of aircraft accident.
  • Keywords
    aircraft; image reconstruction; image segmentation; iterative methods; optical radar; 3D lidar point cloud; 3D wreckage splice; aircraft accident; aircraft segmentation; civil aircraft; improved iterative closest point algorithm; mosaic research; Accidents; Aircraft; Computers; Iterative closest point algorithm; Splicing; Three-dimensional displays; Vectors; 3d reconstruction; accident aircraft; iterative closest point; point cloud registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/IMSNA.2013.6743368
  • Filename
    6743368