For safe navigation around pedestrians, automated vehicles (AVs) need to plan their motion
by accurately predicting pedestrians' trajectories over long time horizons. Current …

With the unprecedented shift towards automated urban environments in recent years, a new
paradigm is required to study pedestrian behaviour. Studying pedestrian behaviour in …

Developing autonomous vehicles capable of navigating safely and socially around
pedestrians is a major challenge in intelligent transportation. This challenge cannot be met …

For automated vehicles (AVs) to reliably navigate through crosswalks, they need to
understand pedestrians' crossing behaviors. Simple and reliable pedestrian behavior …

Planning an autonomous vehicle's (AV) path in a space shared with pedestrians requires
reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction …

One of the most crucial yet challenging tasks for autonomous vehicles in urban
environments is predicting the future behaviour of nearby pedestrians, especially at points of …

Pedestrian trajectory prediction plays an important role in both pedestrian collision
avoidance systems and autonomous driving. However, most of the previous works have …

Urban environments pose a significant challenge for autonomous vehicles (AVs) as they
must safely navigate while in close proximity to many pedestrians. It is crucial for the AV to …

Autonomous vehicles (AVs) must interact with other road users including pedestrians. Unlike
passive environments, pedestrians are active agents having their own utilities and …

As autonomous systems begin to operate amongst humans, methods for safe interaction
must be investigated. We consider an example of a small autonomous vehicle in a …