Predicting the trajectories of surrounding vehicles plays an important role in the driving
safety of autonomous vehicles. It impacts the decision making, path planning, and vehicle …

The future motion prediction of vehicles in the front is widely valued for its great potential to
improve a vehicle's safety, fuel consumption, and efficiency. However, due to the uncertainty …

Predicting the trajectories of adjacent vehicles plays an important role in the driving safety of
adaptive cruise control system. It affects the safety and stability of the vehicle following the …

At present, accurately predicting the long-term trajectory of traffic vehicles for autonomous
vehicles remains a challenging task. Dynamic scenarios often necessitate frequent …

Predicting the trajectory of surrounding vehicles has an essential impact on the vehicle's
future decision-making and path planning and helps to improve the driving safety, fuel …

Predicting the trajectories of surrounding vehicles is important to avoid or mitigate collision
with traffic participants. However, due to limited past information and the uncertainty in future …

The trajectory prediction of the multi-object vehicle ahead plays a huge role in improving the
vehicle's driving safety and improving the planning and traffic efficiency of the vehicle …

At present, the differences between drivers are seldom considered in decision-making and
planning of autonomous vehicles. This paper proposes a method for extracting personalized …

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 …

The predictive motion prediction of surrounding vehicles is an essential precondition for
precise collision risk assessment and path planning. In this paper, we propose a motion …