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Smart Sensors and Infrastructures for Transportation
(July 29, 2021)

Artificial Intelligence (AI) and Machine Learning (ML)
Presenter: Xianfeng (Terry) Yang
Presenter’s Org: The University of Utah, Department of Civil & Environmental Engineering

T3 webinars are brought to you by the Intelligent Transportation Systems (ITS) Professional Capacity Building (PCB) Program of the U.S. Department of Transportation (USDOT)’s ITS Joint Program Office (JPO). References in this webinar to any specific commercial products, processes, or services, or the use of any trade, firm, or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the USDOT.

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[The slides in this presentation contains the logo of the University of Utah, the logo of University of Utah Department of Civil & Environmental Engineering, and the logo of Utah Transportation & Artificial Intelligence Lab.]

Slide 1: Artificial Intelligence (AI) and Machine Learning (ML)

AI is a collection of hard problems which can be solved by humans and other living things, but for which we don’t have good algorithms for solving.

PI: Xianfeng (Terry) Yang
x.yang@utah.edu

https://sites.google.com/view/utrail-uofu/home (404 error. 9/9/22)

[This slide contains four images: (1) a photo showing pavement condition assessment, (2) a photo showing pedestrian and bike detection, (3) a grid image of slippery road condition assessment, and (4) a collection of logos for all agencies involved in this project.]

Slide 2: Connected Autonomous Vehicles

1Tenth CAV in our U-TRAIL Lab

[This slide contains five images: (1) an illustrated image of connected autonomous vehicles. (2) an illustrated graphic of the interior of a connected vehicle. (3) a photograph of the partially assembled 1Tenth CAV in University of Utah’s U-Trail Lab. (4) a photo of the completed 1Tenth CAV. (5) a photo of 3D environment construction using sensors on the car.]

Slide 3: Automated infrastructure condition assessment

[This slide contains eleven images: (1) a diagram of automated infrastructure condition assessment with images depicting winter roadway safety. (2) a diagram of automated infrastructure condition assessment with images depicting rail safety powered by AI. (3) a diagram of automated infrastructure condition assessment with images depicting transit safety with advanced sensing. (4) a grouping of five photographs labeled “Infrastructure Sensing & Experimental Mechanics (iSEM) Lab: Effective infrastructure condition assessment and management” depicting highway, bridge, railroad, airplane, and energy. (5) a diagram of novel sensing technologies modeling and developing wave propagation modeling. (6) a diagram of a novel sensing technologies modeling and developing wave-based power and data communication. (7) a diagram of novel sensing technologies modeling and developing stretchable sensor for 3D imaging.]

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