A sensor-based and spatial-enabled roadway asset management system using emerging 3D laser and imaging technologies.

Dr James Tsai, Georgia Institute of Technology

Oatley Meeting Room 1, Department of Engineering

With the advance of sensor and information technology, the emerging information and sensor technologies, including lasers, Light Detection and Ranging (LiDAR), GPS/GIS, image/signal processing technologies, and spatial optimization technologies are used to develop an information technology (IT) and sensor-based asset management system. Dr. Tsai will present a US DOT national demonstration project research project entitled 'Remote Sensing and GIS-enabled Asset Management System', sponsored by the US Department of Transportation. Dr. Tsai is in charge of this project to develop an intelligent roadway asset inventory system with a van equipped with lasers, LiDAR, GPS, Inertia Measurement Unit (IMU), Distance Measurement Unit (DMI), and cameras. This intelligent sensing van will automatically perform roadway asset data inventory and condition assessment with the innovative multi-sensor data fusion, and image/signal processing algorithms to be developed and validated in the real world roadway environment. The system will initially be tested using pavement and sign assets and then extended to other assets. It will be used to automatically detect pavement distresses, including rutting, cracks, etc.