Title
Lane-level orthophoto map generation using multiple onboard cameras
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.
Year
DOI
Venue
2014
10.1109/ROBIO.2014.7090439
ROBIO
Keywords
Field
DocType
gps coordinates,calibration,cartography,pixel coordinates,mercator projection,autonomous drive,map application,lane-level orthophoto map generation,navigation techniques,orthophoto images,road surface images,map segments,cameras,map management,road-level accuracy,joint calibration,multiple onboard cameras,camera calibration,global positioning system,visualization,image segmentation
Computer vision,Computer graphics (images),Geographic coordinate system,Image segmentation,Camera resectioning,Pixel,Global Positioning System,Artificial intelligence,Mercator projection,Engineering,Digital orthophoto quadrangle,Orthophoto
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
5
Name
Order
Citations
PageRank
Hengrun Zhang100.34
Ming Yang29130.46
Chunxiang Wang3135.73
Xin-Hua Weng411.03
Lei Ye500.34