Sidewalk Detection and Pavement Characterisation in Historic Urban Environments from Point Clouds: Preliminary Results

A novel method for detecting and characterizing sidewalks in historic urban environments, such as UNESCO World Heritage Sites, achieves high precision (80% for sidewalk detection and over 90% for paving characterization). Unlike existing approaches tailored to modern, standardized settings, this method accounts for irregularities like varying materials, absent curbs, and uncertain elevation differences between roads and sidewalks. Tested in Sabbioneta, Italy, it demonstrates promise despite challenges in corner areas, offering a robust tool for urban heritage analysis.

Treccani, D., Díaz-Vilariño, L., & Adami, A. (2021). SIDEWALK DETECTION AND PAVEMENT CHARACTERISATION IN HISTORIC URBAN ENVIRONMENTS FROM POINT CLOUDS: PRELIMINARY RESULTS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B4-2021, 243–249. https://doi.org/10.5194/isprs-archives-xliii-b4-2021-243-2021