COPERNICUS: Context-preserving engine for route navigation with interactive user-modifiable scaling

摘要

In this paper we present an automated system for generating context-preserving route maps that depict navigation routes as a path between nodes and edges inside a topographic network. Our application identifies relevant context information to support navigation and orientation, and generates customizable route maps according to design principles that communicate all relevant context information clearly visible at? one single page. Interactive scaling allows seamless transition between the original undistorted map and our new map design, and supports user-specified scaling of regions of interest to create personalized driving directions according to the drivers needs.