Autonomous vehicles (AV) s have become a trending topic nowadays since they have the
potential to solve traffic problems, such as accidents and congestion. Although AV systems …

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 …

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

Pedestrian action prediction has been a topic of active research in recent years resulting in
many new algorithmic solutions. However, measuring the overall progress towards solving …

For autonomous driving, one of the major challenges is to predict pedestrian crossing
intention in ego-view. Pedestrian intention depends not only on their intrinsic goals but also …

The prediction of road user behaviors in the context of autonomous driving has attracted
considerable attention from the scientific community in recent years. Most works focus on …

Estimating when pedestrians cross the street is essential for intelligent transportation
systems. Accurate, real-time prediction is critical to ensure the safety of the most vulnerable …

With rapid development in hardware (sensors and processors) and AI algorithms, automated
driving techniques have entered the public's daily life and achieved great success in …

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 …

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