Sidewalk Innovation

Yuhan Jiang, 2023-3-20 (2024-9-30 updated)

This page demonstrates the Sidewalk Innovation (U.S. provisional and utility patent applications No. 63/510,282/ No. 18/753,573, Systems and Methods for Automated Sidewalk Deficiency Detection) function of mapping concrete slab joints in ArcGIS Online with Vertical Displacement values and Annotated Images. Vertical Displacements are classified as Trip Hazard (>13 mm, 1/2 inch) and Normal according to 2010 ADA Standards for Accessible Design.

Scanning and Data Processing 101

Geo-visualization in ArcGIS Online (Public Reporting)

AI Annotated Sidewalk Segments

The demo sidewalk about 85 m long, on the University of Wisconsin, Milwaukee (UWM) campus at E Newport Ave and N Frederick Ave, Milwaukee, WI.

Three of the 54 joints are identified as Trip Hazards and marked with cyan wave lines.

Full image here

Comparison with Local Authority Works

Pointcloud2Orthoimage Tool

A tool for converting point cloud to orthoimage and elevation image

Current version support:

1. Load LAS file and export PCD file and CSV file (in case CentOS do not support Open3D).

2. Automatically align point cloud to a plane surface.

3. Use separate CPUs to process R, G, B, and elevation channels.

Code [Link] Point cloud [Link]

Reference

Yuhan Jiang, Sisi Han, Dapeng Li, Yong Bai, Mingzhu Wang, Automatic Concrete Sidewalk Deficiency Detection and Mapping with Deep Learning, Expert Systems with Applications, Volume 207, 2022, 117980, https://doi.org/10.1016/j.eswa.2022.117980