Dropped curb detection for wheelchair accessibility: a demonstration notebook

This repository provides a fully reproducible Jupyter notebook demonstrating a rule-based method for dropped curb detection in the context of wheelchair accessibility. Using high-resolution point cloud data, the notebook illustrates how local height variation, spatial continuity, and geometric constraints can be combined to identify potential dropped curbs that enable street crossings. The notebook is intended as a transparent and extensible methodological demonstration, supporting reproducibility and reuse in urban accessibility and micro-scale mobility analysis.