Webinar: Artificial Intelligence & Mobile Phone-Based Pavement Marking Condition Assessment & Litter Identification

Posted: May 20, 2026

Date: Wednesday, May 20
Time: 10-11 a.m. Central Time

In this webinar, youll learn research findings on:

• The limitations of inspection/maintenance efforts on pavement marking and litter when done manually and how advancements in AI -- particularly deep learning & computer vision -- provide new solutions.
• A lightweight, affordable and automated approach to inspect pavement markings and cleanliness to improve road safety.

Information

Presenter

Dr. Jianli Chen, Assistant Professor at University of Utah. Dr. Chen worked as a post-doc in the U.S. National Renewable Energy Lab doing research related to grid-interactive efficient building. He is an enthusiastic researcher focused on sustainability and efficiency. He holds a master's degree in computer science and engineering and a PhD in building construction.