Accessible_ADS - Project Description

This project combines computer vision, augmented reality, traveler monitoring, edge-based processing systems, and disability community-based participatory research to deliver a novel and socially acceptable pre-trip planning and en-route system designed to service people with cognitive disabilities (mild to moderate dementia and MCI).

The proposed system connects the traveler with the ADS through innovative systems that can be used with either fleet or privately-owned ADS to accommodate pre-trip planning, identification of ADS, and interaction during normal and emergency situations.

System Components

Traveler mobile secure app

Wellbeing features, planning features, fleet vehicle enhancement, and en-route features
HIPAA compiance
Personalization based on users needs

Traveler monitoring system

Eyelid and pupil size tracking to predict level or alertness in real time
Connection with automated in-vehicle agent to offer feedback

Automated in-vehicle agent

Customizable playbook of interventions during emergency situations
Contextual awareness during normal operations
Control of convenience and safety features

IoT cloud framework

Perception layer with various sensors (cameras, traveler mobile app)
Network layer for secured data transmission
Application layer to fulfill the operation of the CANBUS

Prototype Development

We will develop a full-size physical prototype to demonstrate the system integration, engineering feasibility, and usability of our solutions. The physical prototype consists of a full-size vehicle equipped with the developed interfaces and devices (sensors, webcam, processor, traveler mobile secure app, etc.).

The prototype development will take place at the Hill Engineering Research and Development Center at KU.

This project brings together a multi-disciplinary, interprofessional team from the University of Kansas (KU), the University of Florida (UF), and the University of Kansas Medical Center (KUMC). Our team of engineers (KU, UF), human factors experts (KU, UF), computer and data scientists (KU, UF), health professionals (KUMC), and disability experts (KU), aim to develop innovative vehicle design solutions for people with cognitive disabilities.

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