An Automated Manhole Extraction Algorithm from 3D Point Cloud Utilizing a New LiDAR-based Mobile Mapping System

Traditional surveying procedures are labor and cost intensive. Mapping features like manholes require traffic disturbance, add risk to the field crew personal and the community members. The proposed project utilize a newly developed unique LiDAR-based mapping system. The developed 3D mapping system has a substantial cost reduction compared to the commercially available, which also tend to be bulky, expensive and out of the reach of many end-users. The newly developed system generate three-dimensional (3D) maps which are essential in traditional and new applications, such as smart cities, autonomous vehicles and augmented reality. This project proposes and validate an automated manhole extraction algorithm that allow mapping of manholes using the new LiDAR-system and quantify the advantages of this research compared to the traditional surveying procedures.

Faculty Supervisor:

Ahmed Shaker Abdelrahman

Student:

Partner:

IBW Surveyors Ltd.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program: