• DocumentCode
    3586834
  • Title

    Lane-level orthophoto map generation using multiple onboard cameras

  • Author

    Hengrun Zhang ; Ming Yang ; Chunxiang Wang ; Xinhua Weng ; Lei Ye

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ. & Key Lab. of Syst. Control & Inf. Process., Shanghai, China
  • fYear
    2014
  • Firstpage
    855
  • Lastpage
    860
  • Abstract
    Map application has played a more and more important role in today´s autonomous drive and navigation techniques. However, most of the existing maps can only reach road-level (meter scale) accuracy, which cannot meet the needs of driving with no hands. Based on this situation, a method to generate lane-level (centimeter scale) orthophoto maps is proposed. This method utilizes a multiple onboard cameras capture scheme to capture images of the road surfaces that the vehicle have passed through. After that, camera calibration and joint calibration are done to integrate all these road surface images into orthophoto images. To get lane-level orthophoto maps, the orthophoto images need to be projected to the given positions. The Mercator projection is employed to project GPS coordinates to pixel coordinates. The whole lane-level orthophoto map is divided into several local segments. In each local segment, all the orthophoto images belonging to this local segment are projected according to their pixel coordinates. Finally, for the convenience of map management and release, all the map segments are put together and displayed in the layered map form. Experimental results show that the proposed method can generate a promising lane-level orthophoto map, which verifies the effectiveness of such an approach.
  • Keywords
    calibration; cameras; cartography; GPS coordinates; Mercator projection; autonomous drive; camera calibration; joint calibration; lane-level orthophoto map generation; map application; map management; map segments; multiple onboard cameras; navigation techniques; orthophoto images; pixel coordinates; road surface images; road-level accuracy; Calibration; Cameras; Global Positioning System; Image segmentation; Roads; Vehicles; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBIO.2014.7090439
  • Filename
    7090439