An autonomous vehicle would benefit from being able to predict trajectories of other vehicles
in its vicinity for improved safety. In order for the self-driving car to plan safe trajectories …

Vehicle trajectory prediction helps automated vehicles and advanced driver-assistance
systems have a better understanding of traffic environment and perform tasks such as …

Tracking and behavior reasoning of surrounding vehicles on a roadway are keys for the
development of automated vehicles and an advanced driver assistance system (ADAS) …

Predicting future trajectories of surrounding vehicles accurately benefits the decision-making
and motion-planning of autonomous vehicles (AVs). Physical-model-based prediction …

This paper presents a motion-planning framework for urban autonomous driving at
uncontrolled intersections. The intention and future state of the target vehicles are predicted …

Safety is the cornerstone for Advanced Driver Assistance Systems (ADAS) and Autonomous
Driving Systems (ADS). To assess the safety of a traffic situation, it is essential to predict …

Trajectory prediction for traffic participants is a critical task for autonomous vehicles. The
long-term trajectory prediction is challenging due to limited data and the dynamic …

Short-term traffic volume forecasting is widely recognized as an important element of
intelligent transportation systems, because the accuracy of predictive methods determines …

This article presents an interacting multiple model (IMM) for short-term prediction and long-
term trajectory prediction of an intelligent vehicle. This model is based on vehicle's physics …

Lane change trajectory prediction is crucial for autonomous vehicles (AVs) to assess their
own driving safety in advance. However, there are significant uncertainties in the …