Autonomous navigation of a mobile platform in construction sites using a-priori map information to collect 3D point cloud data

In recent years, the construction industry has adopted a new management methodology called Building Information Modeling (BIM), which integrates a large amount of information from different steps in the construction process in order to guide planning and decision making. An essential part in this process is the acquisition of data directly from the construction sites and its integration into the BIM. Current methods, however, are still manual, which is time consuming, tedious and error-prone. In this context, the use of mobile robots in the construction site can automate the data collection, speeding it up and freeing human workforce to be focused on more critical tasks. This project aims at developing a navigation system that can drive a mobile robot in a construction site, creating a map of it and avoiding obstacles. This solution will help the partner organization by generating more data for the construction management, helping to reduce costs and increase productivity.

Faculty Supervisor:

David St-Onge

Student:

Partner:

Pomerleau

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

École de technologie supérieure

Program: