The ability to predict pedestrian behaviour is crucial for road safety, traffic management
systems, Advanced Driver Assistance Systems (ADAS), and more broadly autonomous …

Pedestrians are the most vulnerable road users and are at a high risk of fatal accidents.
Accurate pedestrian detection and effectively analyzing their intentions to cross the road are …

Pedestrian behavior anticipation is a key challenge in the design of assistive and
autonomous driving systems suitable for urban environments. An intelligent system should …

In order to be globally deployed, autonomous cars must guarantee the safety of pedestrians.
This is the reason why forecasting pedestrians' intentions sufficiently in advance is one of …

Reliable anticipation of pedestrian trajectory is imperative for the operation of autonomous
vehicles and can significantly enhance the functionality of advanced driver assistance …

Driving in urban traffic requires making quick and safe decisions while interacting with
multiple pedestrians and other road users. Early anticipation of others' intentions is …

The prediction of pedestrian behavior is essential for automated driving in urban traffic and
has attracted increasing attention in the vehicle industry. This task is challenging because …

For an autonomous car, the ability to foresee a humans action is very useful for mitigating
the risk of a possible collision. To humans this pedestrian intention foresight comes naturally …

Predicting vulnerableroad user behavior is an essential prerequisite for deploying
Automated Driving Systems (ADS) in the real-world. Pedestrian crossing intention should be …

As the development of autonomous driving technology continues, pedestrian safety is
becoming an increasingly important issue. The ability of an autonomous car to accurately …