As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …

Human action recognition and posture prediction aim to recognize and predict respectively
the action and postures of persons in videos. They are both active research topics in …

Pedestrian trajectory prediction is an essential task in robotic applications such as
autonomous driving and robot navigation. State-of-the-art trajectory predictors use a …

Pedestrian trajectory prediction in crowd scenes plays a significant role in intelligent
transportation systems. The main challenges are manifested in learning motion patterns and …

Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …

Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …

This paper provides an extensive and in-depth survey of behavior modeling for complex
intelligent systems, focusing specifically on the innovative applications of Generative …

Autonomous robots that can perform common tasks like driving, surveillance, and chores
have the biggest potential for impact due to frequency of usage, and the biggest potential for …

This paper systematically investigates pedestrian trajectory prediction through a data-driven
stacking fusion approach. Firstly, a novel Attention Mechanism-Long Short-Term Memory …

Predicting the future trajectories of pedestrians on the road is an important task for
autonomous driving. The pedestrian trajectory prediction is affected by scene paths …