Updating Road Network Databases: Road Segment Grouping Using Snap-Drift Neural Network.

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Ekpenyong, Frank, Brimicombe, A. and Palmer-Brown, Dominic 2007. Updating Road Network Databases: Road Segment Grouping Using Snap-Drift Neural Network.

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Authors	Ekpenyong, Frank, Brimicombe, A. and Palmer-Brown, Dominic
Type	Conference paper
Abstract	At present a number of methods are being used to update road network databases including ground survey, driving along roads with GPS and analysing satellite images to register changes. Previous research has aimed at addressing three update functions: road extraction, change detection and change representation (Zhang, 2004). Different types of image processing algorithms have been developed for each purpose. While image-based road updating approaches have had success, their accuracy is directly tied to the quality of the data (Klang, 1998) and object model used for road extractions (Gerke et al., 2004). An alternative approach being investigated here is where service users of in-vehicle navigation systems might passively collect characteristics of any “unknown road” (roads not in the database) on behalf of the data provider.
Keywords	GPS; in-vehicle navigation systems
Year	2007
File	Ekpenyong, F (2007) GISRUK.pdf License CC BY-ND
Print	2007
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Deposited	27 Apr 2010
Web address (URL)	http://ncg.nuim.ie/gisruk/materials/proceedings/PDF/P6.pdf
	http://hdl.handle.net/10552/754
Additional information	Citation: Ekpenyong, F. Brimicombe, A., and Palmer-Brown, D. (2007) ‘Updating Road Network Databases: Road Segment Grouping Using Snap-Drift Neural Network.’ Geograpical Information Science Research Conference (GISRUK07)..

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