Human–machine interaction is an active area of research due to the rapid development of
autonomous systems and the need for communication. This review provides further insight …

The last few years have seen a wealth of research on external human–machine interfaces
(eHMIs). It has been argued that eHMIs are vital because they fill the social interaction void …

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 …

Anticipating future events is an essential feature for intelligent systems and embodied AI.
However, compared to the traditional recognition task, the uncertainty of future and …

Many fatal accidents that involve pedestrians occur at road crossings, and are attributed to a
breakdown of communication between pedestrians and drivers. Thus, it is important to …

Pedestrians are arguably one of the most safety-critical road users to consider for
autonomous vehicles in urban areas. In this paper, we address the problem of jointly …

Interacting with other roads users is a challenge for an autonomous vehicle, particularly in
urban areas. Existing vehicle systems behave in a reactive manner, warning the driver or …

This work presents a novel platform for autonomous vehicle technologies research for the
insurance sector. The platform has been collaboratively developed by the insurance …

Pedestrian crossing intention prediction is crucial to traffic safety, which is a challenging task
in real traffic scenarios. Traditional methods infer the intention of pedestrians to cross by …

Egocentric early action prediction, which aims to recognize the on-going action in the video
captured in the first-person view as early as possible before the action is fully executed, is a …