Accurate prediction of whether pedestrians will cross the street is prevalently recognized as
an indispensable function of autonomous driving systems, especially in urban environments …

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 …

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

Predicting pedestrian crossing intention to ensure pedestrian safety has garnered significant
attention in autonomous driving. Balancing the accuracy and real-time performance of …

The capability to comprehend the intention of pedestrians on the road is one of the most
crucial skills that the current autonomous vehicles (AVs) are striving for, to become fully …

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

Predicting Vulnerable Road User (VRU) crossing intention is one of the major challenges in
automated driving. Crossing intention prediction systems trained only on pedestrian features …

Accurate pedestrian intention prediction (PIP) by Autonomous Vehicles (AVs) is one of the
current research challenges in this field. In this article, we introduce PIP-Net, a novel …

Forecasting the crossing intention of pedestrians is an essential task for the safe driving of
Autonomous Vehicles (AVs) in the real world. Pedestrians' behaviors are usually influenced …

Predicting pedestrian crossing intention is an indispensable aspect of deploying advanced
driving systems (ADS) or advanced driver-assistance systems (ADAS) to real life. State-of …