This paper addresses modeling and simulating pedestrian trajectories when interacting with
an autonomous vehicle in a shared space. Most pedestrian–vehicle interaction models are …

One of the major challenges that autonomous cars are facing today is driving in urban
environments. To make it a reality, autonomous vehicles require the ability to communicate …

Pedestrian motion modeling in mixed traffic scenarios is crucial to the development of
autonomous systems in transportation related applications. This work investigated how …

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

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

Predicting object motion behaviour is a challenging but crucial task for safe decision making
and path planning for autonomous vehicles. It is challenging in large part due to the …

Predicting trajectories of pedestrians based on goal information in highly interactive scenes
is a crucial step toward Intelligent Transportation Systems and Autonomous Driving. The …

Automated vehicles require a comprehensive understanding of traffic situations to ensure
safe and anticipatory driving. In this context, the prediction of pedestrians is particularly …

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

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …