Indoor Mapping & Wayfinding Automation

Engineering reference for indoor mapping: floor plan parsing, wayfinding graphs, beacon positioning, accessibility routing, and Python automation pipelines.

About this site

Indoor mapping is not a flavor of outdoor GIS. Sub-meter precision, vertical topology, semantic enrichment, and deterministic routing pipelines all change the engineering surface area. This site is a production-focused reference for the engineers building those systems day to day.

Inside you will find runbooks for parsing native CAD (DWG/DXF), BIM (IFC), and SVG floor plans into validated, routable GeoJSON; coordinate-system patterns for multi-building campuses; Z-axis handling for elevators, escalators, and mezzanines; POI taxonomy design that survives contact with facilities reality; the CI gating, schema validation, and rollback machinery that keeps deployed indoor maps trustworthy; and the beacon and Wi-Fi fingerprinting positioning pipelines that place a moving user on that routing graph.

Every guide ships with annotated Python pulled from real pipelines — geopandas, shapely, networkx, ezdxf, rtree, pyproj — plus the validation, async batching, and SDK integration patterns that turn a one-off script into a service. The material targets facilities tech teams, GIS developers, indoor navigation teams, and Python automation builders.

Use the four colourful entry points above to jump into a section, or browse the topic cards below. Every page is offline-cached as a PWA, so you can keep the references with you on a site walk.

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Async Batch Processing Pipelines for Floor Plans

Build async batch pipelines that ingest hundreds of floor plans, delegate CPU-bound vectorization to process pools, and emit deterministic GeoJSON without OOM kills.

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Attribute Mapping from Blueprints

Resolve blueprint text labels to room polygons and emit validated, schema-conformant indoor feature records using buffered spatial joins and confidence scoring in Python.

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PDF & Raster Floor Plan Extraction

Extract routable geometry from scanned PDF and raster floor plans: rasterization, deskew, denoise, scale calibration, and vector tracing into validated GeoJSON.

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SVG/DWG Parsing Workflows

Parse DWG and SVG floor plans into one unit-aligned GeoJSON schema: ezdxf entity extraction, SVG transform flattening, Y-axis inversion, and topology validation in Python.

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Wall & Door Detection Algorithms

Detect walls and doors in raster and vector floor plans with Python: adaptive thresholding, contour vectorization, gap-based opening classification, and routing-graph validation.

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Accessible & Multi-Profile Indoor Routing

Design accessible indoor routing: per-profile edge weights, step-free and assisted constraints, elevator preferences, and multi-profile graphs that share one topology.

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Fallback Routing Architectures for Indoor Navigation

Build deterministic degradation pathways for indoor routing graphs: topology reconciliation, vertical-transition fallback, and semantic POI routing in production Python.

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Indoor Coordinate Reference Systems

Define, transform, and validate a facility-local indoor CRS in Python: metric scaling, orthogonal axes, surveyed origins, Z-datum alignment, and routing-ready coordinate output.

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Level Mapping & Z-Axis Logic

Normalize noisy CAD, BIM, and LiDAR elevations into discrete, routable indoor floor levels: clustering, Z-index assignment, and multi-level routing graph construction in production Python.

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POI Taxonomy & Classification

Build a deterministic indoor POI classification pipeline in Python: a versioned taxonomy schema, pydantic validation, routing-weight assignment, spatial binding, and GeoJSON output ready for the routing graph.

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Cache Invalidation Strategies for Indoor Maps

Cache invalidation for indoor maps: propagate floor plan updates across CDN, edge nodes, and SDKs without routing anomalies or wayfinding fallback failures.

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CI Gating for Map Updates

Gate indoor map updates in CI: schema, routing-graph topology, and API-contract checks that block broken floor plans before they reach live wayfinding.

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JSON Schema Design for Indoor Maps

Design a Draft 2020-12 JSON Schema that validates indoor map GeoJSON: coordinate frames, routing-graph topology, and CI-gated structural contracts before deployment.

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Rollback Triggers & Versioning for Indoor Mapping Pipelines

Content-addressed versioning, telemetry-driven rollback triggers, and atomic reverts for indoor map artifacts — with Python for SHA-256 manifests, threshold evaluation, and zero-downtime CDN swaps.

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SDK Integration Patterns for Indoor Maps

Integrate indoor map SDKs in production: payload contracts, version-negotiated cache sync, native bridge hydration, and graceful routing fallback for live wayfinding.

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Vector Tile Serving for Indoor Maps

Serve indoor maps as vector tiles: per-floor layer separation, tiling validated GeoJSON, level filtering, tile caching keyed on topology hash, and client styling.

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BLE Beacon Positioning & Trilateration

Position indoors with BLE beacons: RSSI path-loss ranging, least-squares trilateration, geometry pitfalls, and fusing beacon fixes into a stable indoor position.

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Snapping Positioning Fixes onto the Routing Graph

Bind noisy indoor position fixes to the routing graph: nearest-edge snapping, map-matching, off-graph rejection, and feeding a clean location to the wayfinding engine.

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Sensor Fusion & Particle Filters for Indoor Positioning

Fuse WiFi, BLE, and IMU signals with a particle filter for smooth indoor positioning: motion models, measurement updates, resampling, and wall-constraint likelihoods.

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WiFi RSSI Fingerprinting & Radio Maps

Build and query WiFi RSSI fingerprint radio maps for indoor positioning in Python: survey grids, access-point feature vectors, kNN matching, and drift-resistant calibration.

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