To say that significant developments in pavement data collection technologies and artificial intelligence- (AI) based processing methods have taken place over the past three years is an understatement. Industry standards have not kept pace with technological advancements, and agencies attempting to procure these services have been left in a bind. While these technologies may provide better data than previous technologies, it is critical that agencies understand the benefits and limitations of these technologies—especially those implementing AI—and how best to procure the technologies. AI is a tool, not a panacea. This presentation will describe the benefits and limitations of 3D pavement imaging, AI-based data processing, and mobile light detection and ranging (LiDAR) technologies. The attendees will learn how to best integrate data collected with these technologies into their pavement and asset management systems. Attendees will also learn how to best procure and quality control/quality assurance (QC/QA) test the data from these technologies.
Contributor/Source
Kurt Keifer, PhD, PE
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