AIoT-based Continuous, Contextualized, and Explainable Driving Assessment for Older Adults
The world is undergoing a major demographic shift as older adults become a rapidly growing share of the population, creating new challenges for driving safety. In car-dependent regions such as the United States, driving remains essential for independence, access to services, and social participation. At the same time, aging can introduce gradual changes in vision, attention, reaction time, and driving control that quietly reduce safety. Today's assessment methods rely largely on infrequent clinic visits or simple screening tools, offering only a brief snapshot and failing to reflect how an older adult actually drives on the road. Our work starts from the observation that everyday driving ...
| Authors | Yimeng Liu, Fangwei Zhang, Maolin Gan et al. |
|---|---|
| Primary category | cs.AI |
| Published | 28 February 2026 |
| Last updated at source | 28 February 2026 |
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