Through successful research, development, and demonstrations during Phase 1 of this project, the Michigan Tech team was able to test multiple sensors on a Michigan-made multirotor UAV platform, along with other UAVs, enabling the collection of data types such as optical, light detection and ranging (LiDAR), and thermal to achieve a detailed view of various MDOT infrastructure.
Further development of UAV technology for the use of transportation infrastructure assessment is required in order to fully implement these technologies into MDOT day-to-day operations. By successfully continuing UAV research and development for MDOT, the Michigan Tech team produced practical applications of large datasets that supports MDOT’s business models and decision making processes as part of this Phase II analysis.
The objectives of the Phase II research project were to develop, deploy, and implement:
UAV technology for the use of transportation infrastructure assessment was further developed to implement into MDOT day-to-day operations. Through this project, the team has successfully completed the following:
Colin Brooks: Principal Investigator – Transportation infrastructure condition assessment
Thomas Oommen, PhD: Co-Investigator – Thermal imaging and analysis
Tim Havens, PhD: Co-Investigator – Light Detection and Ranging Analysis (LiDAR)
Tess Ahlborn, PhD: Co-Investigator – Civil engineering expertise for condition assessment
Kuilin Zhang, PhD: Co-Investigator – Traffic flow and monitoring analysis
Amlan Mukerjee, PhD: Co-Investigator – Civil engineering expertise in life cycle assessment
Rick Dobson: Co-Investigator – Collection and analysis of high resolution remote sensing data
David Banach: Geospatial data integration and analysis support
Jeffrey Barlett, P.S.: Management of large datasets
Brian Dollman-Jersey, P.S.: Lead QA/QC analysis
Andrew Semenshuck, P.S.: Technical Lead
Senior Research Scientist
Steve Cook, P.E.
Michigan Department of Transportation
DJI Mavic Pro Collision Avoidance Small Imaging Quadcopter
FLIR Thermal Cameras
Velodyne LiDAR Puck