UF & University of Kansas Researchers Advance to Semifinals of USDOT Inclusive Design Challenge

University of Florida faculty Dr. Sanaz Motamedi, Dr. Eakta Jain, Dr. Xilei Zhao, Dr. Wayne Gian and Dr. Boyi Ju were selected as semifinalists as part of the Inclusive Design challenge team led by the University of Kansas.


The research team is focused on people with cognitive disabilities such as mild cognitive impairment (MCI) and mild to moderate dementia that affect their mobility and daily life. The goal of the project is to develop Automated Driving Systems (ADS) designs that operate at Levels 4 and 5 for people with MCI and mild to moderate dementia. The team proposes an integrated system solution comprised of a mobile secure app, a traveler monitoring system, an automated in-vehicle agent, and a cloud framework for real-time analytics.

PAVE Video interview of Team Kansas: Dr. Alexandra Kondyli – University of Kansas; Dr. Sanaz Motomedi – University of Florida; Dr. Abiodun Akinwutan University of Kansas Medical Center; and Tabitha Colter – PAVE

Their research is focused on people with cognitive disabilities such as mild cognitive impairment (MCI) and mild to moderate dementia because the decrements in their cognitive functions affect their mobility and daily life. The goal of their project is to develop ADS designs that operate at Levels 4 and 5 for people with MCI and mild to moderate dementia. The team proposes an integrated system solution comprised of a mobile secure app, a traveler monitoring system, an automated in-vehicle agent, and a cloud framework for real-time analytics. The solution is vehicle-agnostic and can be integrated as original equipment.

In Stage II, the team will develop a physical prototype consisting of a full-size vehicle equipped with the developed interfaces and sensors.

You can watch the Partners for Automated Vehicle Education (PAVE) video Interview of Motamedi and her team
here.