Intent prediction of vulnerable road users (VRUs) has got some attention recently from the
research community, due to its critical role in the advancement of both advanced driving …

The problem of intent understanding between highly and fully automated vehicles and
vulnerable road users (VRUs) such as pedestrians in urban traffic environment has got …

Recently, the problem of intent and trajectory prediction of vulnerable road users (VRUs) in
urban traffic environments has got some attention from the intelligent transportation research …

Recently, the problem of intent and trajectory prediction of pedestrians in urban traffic
environments has got some attention from the intelligent transportation research community …

Predicting the trajectories of pedestrians is critical for developing safe advanced driver
assistance systems and autonomous driving systems. Most existing models for pedestrian …

As autonomous vehicles (AVs) need to interact with other road users, it is of importance to
comprehensively understand the dynamic traffic environment, especially the future possible …

Advanced perception and path planning are at the core for any self-driving vehicle.
Autonomous vehicles need to understand the scene and intentions of other road users for …

In this paper we are presenting a novel approach for the problem of vulnerable road users
(VRUs) attribute prediction which play such critical role for the intent prediction models of …

Pedestrian trajectory prediction using video is essential for many practical traffic
applications. Most existing pedestrian trajectory prediction methods are based on fully …

In urban road scenarios with coexistence of vehicles and pedestrians, the ability of
predicting pedestrians' future position is essential for the intelligent vehicle to avoid potential …