Artificial Intelligence based pavement distress detection and monitoring system

The Road Pavements are subjected to distress due to heavy traffic load and environmental factor and is a common cause of accidents resulting in loss of valuable life and economic losses. Regular monitoring and timely maintenance is the key to ensuring a healthy roadway infrastructure. Traditional methods of manual monitoring are time consuming, expensive and limited to human biases. The aim of my research is to provide an automated, cost effective and easy to install pavement health assessment system to detect potholes in pavements at an early stage by application of Artificial Intelligence. This will provide the authorities with an automated system to detect pavement distress effortlessly, preventing further deterioration of roads and take timely actions. Road infrastructure system is an area which demands huge investments,thus, a low-cost automated pavement health assessment system using commercially available off-the-shelf equipment will not only deliver a cost-effective solution but will also accelerate corrective measures to ensure timely maintenance

Faculty Supervisor:

Ayan Sadhu

Student:

Partner:

Indian Institute of Technology Roorkee

Discipline:

Engineering

Sector:

Artificial Intelligence; Transportation (excluding aerospace); Technology

University:

The University of Western Ontario

Program: