A reliable prediction of traffic participants' trajectories is challenging for automated driving.
We attempt to integrate human trajectory's temporal and spatial reciprocal consistency into …

The accurate and reliable prediction of pedestrian future trajectories is of crucial significance
for ensuring the safe navigation of autonomous driving systems. This paper introduces a …

A reliable driving trajectory prediction of surrounding vehicles is an essential reference for
decision-making and safe driving of an autonomous vehicle. Although predicting short-term …

Pedestrian trajectory prediction is a key technology in many real applications such as video
surveillance, social robot navigation, and autonomous driving, and significant progress has …

Pedestrian trajectory prediction, which aims at predicting the future positions of all
pedestrians in a crowd scene given their past trajectories, is the cornerstone of autonomous …

Abstract We propose a Deep RObust Goal-Oriented trajectory prediction Network
(DROGON) for accurate vehicle trajectory prediction by considering behavioral intentions of …

Trajectory prediction is critical for applications of planning safe future movements and
remains challenging even for the next few seconds in urban mixed traffic. How an agent …

Accurate prediction of the trajectory of surrounding vehicles is crucial to autonomous driving
for path planning and collision avoidance. In this paper, we propose a novel transformer …

Predicting and understanding pedestrian intentions is crucial for autonomous vehicles and
mobile robots to navigate in a crowd. However, the movement of pedestrian is random …

Pedestrian trajectory prediction is a key technology in many applications such as video
surveillance, social robot navigation, and autonomous driving, and significant progress has …