Vehicle Occupancy Detection using Thermal Camera and LIDAR

In this project, a vehicle occupancy detection system will be developed for automatic monitoring of HOV (High Occupancy Vehicle) and HOT (High Occupancy Toll) lanes. The system makes use of machine vision along with artificial intelligent algorithms, developed based on deep learning, to detect number of passengers in a vehicle in real-time. The developed technology will enable the industry partner to commercialize this solution in Canada and globally for efficient and enforceable monitoring of HOV and HOT lanes. The adopters of this technology will be able to manage their road infrastructures, in particular HOV and HOT lanes, more efficiency. This will result in reduced congestion and significant environmental and economic benefits.

Faculty Supervisor:

Robert Laganiere

Student:

Wassim El Ahmar

Partner:

Smats Traffic Solutions

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Program: