Automated Rock Drawing in the AV Style

 

Suggested by: Johannes Scholz in cooperation with the Österreichischer Alpenverein

Source: Österreichischer Alpenverein

Keywords: Cartography, Artificial Intelligence, Terrain Representation

Objective: Develop a workflow using AI-supported methods to transfer the traditional rock depiction style to current data foundations, enhancing topographic maps for mountain sports with historical cartographic aesthetics.

Short Description: 

The Austrian Alpine Club (Österreichischer Alpenverein) boasts over 150 years of cartographic tradition. Since Franz Keil's first map in 1856, the Alpine Club's cartography has been rich in history. Figures like Rohn, Finsterwalder, Ebster, and Brandstätter have influenced generations of cartographers in terrain representation and plasticity. This project aims to bring these achievements of cartographic history into the present.

Source: Österreichischer Alpenverein

Using AI-supported methods, a workflow will be developed to transfer the traditional rock depiction style to current data foundations. Topographic maps, whether in print or digital applications, would greatly benefit, offering an optimal planning basis for mountain sports. Historical maps, separated print files, and various base data will serve as training data. By analyzing terrain features (land cover and terrain form), a representation for new rock areas will be generated that includes mountaineering-relevant terrain details and ensures geometric accuracy. Achieving a close approximation to the historical cartographic aesthetic is highly desirable.

Source: Österreichischer Alpenverein

Start: Anytime