In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …

The past few years have been witness to an increase in autonomous vehicle (AV)
development and testing. However, even with a fully developed and comprehensively tested …

In recent years, the pervasive deployment and progression of autonomous driving
technology have engendered heightened demands, particularly within the intricate campus …

Trajectory prediction for heterogeneous traffic agents in autonomous driving is a challenging
and crucial task. A large amount of research has laid a solid foundation for this field …

Ensuring that intelligent vehicles do not cause fatal collisions remains a persistent challenge
due to pedestrians' unpredictable movements and behavior. The potential for risky situations …

Pedestrian behavior exhibits high levels of dynamism, and pedestrian trajectories are
influenced not only by the pedestrians themselves, but also by interactions with surrounding …

Ensuring that intelligent vehicles do not cause fatal collisions remains a persistent challenge
due to pedestrians' unpredictable movements and behavior. The potential for risky situations …

Abstract Machine learning-based techniques have shown great promises in perception,
prediction, planning, and general decision-making for improving task performance of …

The connected and automated vehicle (CAV) technology in recent years has demonstrated
its potential in improving efficiency in transportation systems. Prediction, as a key component …

This paper proposes an optimal data fusion approach for precise position estimation of
smartphone users in challenging environments, combining BLE-based indoor position …