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CurbMap 360

CurbMap 360 was an AI-assisted accessibility-mapping prototype developed from Fall 2024 through Summer 2025. The project explored community sidewalk scanning, quality control, routing support, and anomaly/out-of-distribution screening for unreliable visual scans.

The technical work included autoencoder reconstruction-error screening, VAE latent/OOD analysis, and normalizing-flow density modeling as part of the scan-quality pipeline.

Recognition

  • 1st Place — 2025 Culver Business Model Competition
  • Presented in additional entrepreneurship/pitch settings during the project period

Materials

Code availability

The original prototype codebase is not included in this repository. The repository preserves the technical and presentation materials that remain available.

Research contact

Chaewon Yoon
chaewon.yoon.ds@gmail.com

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AI-assisted accessibility mapping prototype for sidewalk quality control, routing, and mobility-focused community data.

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