In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …

The integration of advanced image analysis using artificial intelligence (AI) is pivotal for the
evolution of autonomous vehicles (AVs). This article provides a thorough review of the most …

Predicting where a person is looking is a complex task, requiring to understand not only the
person's gaze and scene content, but also the 3D scene structure and the person's situation …

Safe interaction with pedestrians is important for autonomous vehicles in urban
environments. Comprehensive understanding of pedestrian behavior is a challenge for …

Eye contact is essential in transmitting information and intention in the wild environment (eg,
urban streets or parking lots) with mixed vehicles and pedestrians. Compared with the vision …

Eye contact is an important factor in determining whether a pedestrian is aware of a vehicle.
Most conventional eye contact detection methods rely on direct eye-gaze estimation based …

A trust-aware safe control system for autonomous navigation in the presence of humans,
specifically pedestrians, is presented. The system combines model predictive control (MPC) …

Pedestrian facial attention plays an essential role in autonomous driving scenarios where a
vehicle has to handle complex interactions with pedestrians. By inferring whether …

In this paper, we hypothesize that human relationships can be estimated from interactions
and the frequency and length of mutual gazes between an individual pair in videos …

In real-world driving scenarios, understanding the intentions of pedestrians in real-time is
critical for the built environment safety when operating intelligent vehicles on the roads …