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Integration of dynamic LiDAR and image sensor data for route corridor mapping
McCarthy, Tim; Zheng, Jianghua; Fotheringham, Stewart
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.
Keyword(s): Dynamic; Mapping; Mobile; LiDAR; Imagery; GIS; Fusion
Publication Date:
2008
Type: Book chapter
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): McCarthy, Tim and Zheng, Jianghua and Fotheringham, Stewart (2008) Integration of dynamic LiDAR and image sensor data for route corridor mapping. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. International Society of Photogrammetry and Remote Sensing (ISPRS), pp. 1125-1130.
Publisher(s): International Society of Photogrammetry and Remote Sensing (ISPRS)
File Format(s): other
Related Link(s): http://eprints.maynoothuniversity.ie/9261/1/TM-Integration-2008.pdf
First Indexed: 2018-02-20 06:00:05 Last Updated: 2018-02-20 06:00:05