RouteExtract: A Modular Pipeline for Extracting Routes from Paper Maps
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Abstract (arXiv)
Paper maps remain widely used for hiking and sightseeing because they contain curated trails and locally relevant annotations that are often missing from digital navigation applications such as Google Maps. We propose a pipeline to extract navigable trails from scanned maps, enabling their use in GPS-based navigation. Our method combines georeferencing, U-Net-based binary segmentation, graph construction, and an iterative refinement procedure using a routing engine. We evaluate the full end-to-end pipeline as well as individual components, showing that the approach can robustly recover trail networks from diverse map styles and generate GPS routes suitable for practical use.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 13 references that are in the map. First posted on arXiv 15 Sep 2025.
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References · 2
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
- 2018RoadTracer: Automatic Extraction of Road Networks from Aerial Imagescited by 102
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