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    Integration of dynamic LiDAR and image sensor data for route corridor mapping


    McCarthy, Tim and Zheng, Jianghua and Fotheringham, Stewart (2007) Integration of dynamic LiDAR and image sensor data for route corridor mapping. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI (5/C55). pp. 203-209. ISSN 2194-9034

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    Abstract

    Building and maintaining modern transportation infrastructure demands considerable expenditure for any nation. These terrestrial route corridor zones include road, rail and to a lesser extent waterways. Road networks range from the large highways and motorways covering hundreds of kilometres down to smaller street networks that may only be few hundred meters in length. These route networks attract their own unique set of spatial information requirements in terms of overall management. These include transportation planning, engineering and operation. High quality, timely spatial information is required of the entire route corridor which now extends past the narrow confines of the road surface and includes the area adjacent to the road edge as well as areas above and below the road surface. Comprehensive 3D spatial information is required, not only, of the network itself but also objects occurring along these route corridors. This information can be used to address the day to day engineering problems as well as more strategic issues such as road safety, congestions management and noise modelling. LiDAR systems are widely available and now used to record data from both aerial and terrestrial survey platforms. LiDAR outputs X,Y,Z points enabling reliable 3-D measurements as well as 2.5-D geometric surface to be produced. High quality imagery is also collected from similar airborne and terrestrial mobile mapping platforms. This paper examines the integration of road survey imagery and airborne LiDAR data-streams within a GIS in order to satisfy these spatial information requirements.

    Item Type: Article
    Keywords: Dynamic; Mapping; Mobile; LiDAR; Imagery; GIS; Fusion;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 12366
    Depositing User: Tim McCarthy
    Date Deposited: 04 Feb 2020 17:10
    Journal or Publication Title: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    Publisher: International Society for Photogrammetry and Remote Sensing
    Refereed: Yes
    URI:

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