Anxiety among pregnant women can significantly impact their overall well-being. However,
the development of data-driven HCI interventions for this demographic is often hindered by …

Cutting-edge connected vehicle (CV) technologies have drawn much attention in recent
years. The real-time traffic data captured by a CV can be shared with other CVs and data …

In the transition to fully automated driving, the interaction between drivers and vehicles is
crucial as drivers' emotions directly influence their behavior, thereby impacting traffic safety …

Self-supervised depth estimation, which solely requires monocular image sequence as
input, has become increasingly popular and promising in recent years. Current research …

Real-time estimation of vehicle locations and speeds is crucial for developing many
beneficial transportation applications in traffic management and control, eg, adaptive signal …

Road maintenance plays an important role in traffic infrastructure management. Current
pavement distress detection methods mostly rely on manually processing the data collected …

The advancements in automated driving hold the potential to improve our daily lives by
reducing traffic accidents, minimizing congestion, and allowing more time to spend on other …