Path prediction is an essential task for many real-world Cyber-Physical Systems (CPS)
applications, from autonomous driving and traffic monitoring/management to …

Pedestrian path prediction is an essential topic in computer vision and video understanding.
Having insight into the movement of pedestrians is crucial for ensuring safe operation in a …

Path prediction is a fundamental task for estimating how pedestrians or vehicles are going to
move in a scene. Because path prediction as a task of computer vision uses video as input …

Path forecasting is a pivotal step toward understanding dynamic scenes and an emerging
topic in the computer vi-sion field. This task is challenging due to the multimodal nature of …

Pedestrian trajectory prediction is an essential and challenging task for a variety of real-life
applications such as autonomous driving and robotic motion planning. Besides generating a …

Trajectory prediction in traffic scenes involves accurately forecasting the behaviour of
surrounding vehicles. To achieve this objective it is crucial to consider contextual …

Predicting pedestrian motion trajectories is crucial for path planning and motion control of
autonomous vehicles. Accurately forecasting crowd trajectories is challenging due to the …

Pedestrian trajectory prediction in dynamic and strongly interactive scenes has become one
of the most challenging problems in fields such as automated driving. In this paper, we …

Reasoning over visual data is a desirable capability for robotics and vision-based
applications. Such reasoning enables forecasting the next events or actions in videos. In …

Behavior prediction of traffic actors is an essential component of any real-world self-driving
system. Actors' long-term behaviors tend to be governed by their interactions with other …