DocumentCode
1987168
Title
Roads Digital Map Generation with Multi-track GPS Data
Author
Chen, Chen ; Cheng, Yinhang
Author_Institution
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing
Volume
1
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
508
Lastpage
511
Abstract
In order to generate roads digital map of unknown area when the raster map is absent, we proposed a way which employs multi-track GPS (Global Position System) data. Despite inaccuracy of GPS system itself, multi-track data can reduce errors when we assume a symmetric distribution of the error values. Morphological operations to binary image are employed to process the GPS data. Dilation, closing operations are used to merge discrete data points and fill in gaps among GPS tracks, while thinning algorithm and pruning are used to extract skeleton to gets the roadspsila position. We also exploit direction rule and distance rule to delete redundant nodes when constructing roads graph so that the data storage of digital map will be reduced. By overlaying our own digital map on the Google Earth map of the same roads, this way of generating digital map with multi-track GPS data is proved to be effective.
Keywords
Global Positioning System; automated highways; cartography; graph theory; image thinning; mathematical morphology; road traffic; Global Position System; Google Earth map; binary image morphological operation; image thinning algorithm; intelligent transportation system; multitrack GPS data; road digital map generation; road graph; road traffic condition; Biomedical imaging; Data mining; Fusion power generation; Global Positioning System; Image edge detection; Intelligent transportation systems; Morphological operations; Remote sensing; Roads; Vehicles; morphological operations; multi-track GPS data; roads digital map; roads graph; thinning algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3563-0
Type
conf
DOI
10.1109/ETTandGRS.2008.70
Filename
5070207
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