Title :
Automatic conflation of digital maps
Author :
Deretsky, Zachary ; Rdony, Uri
Author_Institution :
Etak, Inc., Menlo Park, CA, USA
Abstract :
A consolidation method for combining geometrical and attribute data from two digital map sources, A and B, into one, ultimate map is described. This method is called "conflation" and its requires identification of the matching elements on both maps: vertices, arcs, and areas. Conflation generally consists of two parts (automatic and manual). The method is based on the usage of the chains of arcs in order to determine the matching intersections between them. The chains are formed a priori by using both attribute and geometric properties of the arcs. The intersections are treated as relations between chains and are stored in a simple external relational database.
Keywords :
cartography; attribute data; conflation; consolidation method; digital maps; external relational database; geometrical data; Engineering management; Filters; Information retrieval; Information systems; Navigation; Partitioning algorithms; Relational databases; Research and development; Research and development management; Vehicle driving;
Conference_Titel :
Vehicle Navigation and Information Systems Conference, 1993., Proceedings of the IEEE-IEE
Conference_Location :
Ottawa, Ontario, Canada
Print_ISBN :
0-7803-1235-X
DOI :
10.1109/VNIS.1993.585573