This paper presents a comprehensive literature review of the current state of in-vehicle
human-computer interaction (HCI) in the context of self-driving vehicles, with a specific focus …

Autonomous spatial navigation (ASN) is a challenge for millions of disabled people globally,
especially persons with visual impairment (PwVI) who depend on either caregivers or …

The deployment of fully self-sufficient, self-driving vehicles (SDVs) to city roads in a diverse
range of benefit-driven concepts is on the horizon where the higher levels of automation with …

As self-driving technology advances, there is enormous potential to optimize fully
autonomous vehicles (FAVs) for use by people who are blind and visually impaired (BVI) …

Abstract The US Department of Transportation's Inclusive Design Challenge spurred
innovative research promoting accessible technology for people with disabilities in the future …

This work presents a novel ultrasonic haptic interface to improve nonvisual perception and
situational awareness in applications such as fully autonomous vehicles. User study results …

Should fully autonomous vehicles (FAVs) be designed inclusively and accessibly,
independence will be transformed for millions of people experiencing transportation-limiting …

Autonomous vehicles (AVs) could potentially provide independent mobility to people with
physical and sensory disabilities. It is critical to understand the needs of people with …

This research monetizes the access benefits of making shared autonomous vehicles (SAVs)
available to residents of Texas' Dallas-Fort Worth metroplex in the US Residents' willingness …

In this study, we proposed a region of interest (ROI) compression algorithm under the deep
learning self-encoder framework to improve the reconstruction performance of the image …