Spinning Multi-Beam LiDAR (VLP-16) new mapping scheme and the effect on the generated 3D point cloud : Point density and Thin features extraction in a Mobile mode of operation

Maps are vital in our life. Three-dimensional (3D) maps are essential in traditional and new applications, such as smart cities, autonomous vehicles and augmented reality. The number of end-users who require 3D maps has expanded exponentially in recent years and is anticipated to expand even more in the future. LiDAR scanners are the main sensors in 3D mapping systems. The commercially available 3D LiDAR-based mapping systems tend to be bulky, expensive and thus out of the reach of many end-users. Recently a relatively low-cost LiDAR scanner has been introduced for autonomous vehicles. This LiDAR scanner has been integrated to develop a unique LiDAR-based 3D mapping system. The developed 3D mapping system has a substantial cost reduction compared to the commercially available. This project proposes and validate a novel setup for the system in the data collection process maximising the benefits of its usage despite using relatively low-cost sensors.

Faculty Supervisor:

Ahmed Shaker Abdelrahman

Student:

Ashraf Elshorbagy

Partner:

I-INC Foundation for Business Development

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

Ryerson University