Image & Data Processing

Our Work Helps Roads and Bridges

Reliable, cutting-edge image and data processing is a cornerstone of the Center for Geographic Information systems (CGIS). As researchers, we take fact and figures, and photographs and mash them up to solve problems. 

We are creating, implementing, and refining novel image and data processing techniques that are, or may, revolutionize standards in road and transit asset management, remote sensing, and GIS computing. Continued advances in supercomputing and laser technology have our scientists excited about the possibilities of new discoveries and research approaches and solutions in the future.

One place this information is valuable is in the management of the roads and bridges of cities and states, such as highway pavement maintenance.

The Georgia Department of Transportation uses this information to determine among other things, budgetary needs and best techniques for roadway maintenance, such as the frequently applied pavement preservation techniques, including crack seal, fog seal, and chip seal.

This information is also valuable in the management of roadway assets, which include road signs, guardrails, reflectors, etc.

Managing Pavement Assets

This project developed and successfully tested a Pavement Management System for Georgia’s local transportation agencies. Because of stringent highway budgets and decaying roadway networks, local transportation agencies in counties and cities need to better manage their pavement assets, or types of road pavements, by using a Pavement Management System (PMS).

However, there are still many county and city agencies that have not implemented a system because of a lack of resources and technical expertise. By carefully considering each local agencies’ limited resources in IT support and technical expertise, and how they deal with incompatible systems, a simple, self-contained, and easy-to-use system was developed. 

Automated Roadway Data Collection

This research was designed to validate a cost-effective means to conduct sign inventory and assess visual condition using video images. The Georgia Department of Transportation (GDOT) and other state DOTs adopted a method for conducting roadway asset inventory and pavement condition surveys using roadway video images and pavement surface imaging data to gather information on road characteristics, such as pavement rutting and cracking.