To reduce the number of accidents, this thesis proposes a vehicle path prediction system to
predict the future direction when a vehicle is about to cross an intersection. The GPS sensor …

This paper presents a vehicle path predication and clustering using vehicle trajectory-based
data. Vehicles provided by the GPS navigator, contributes in-vehicle driving path for drivers …

Vehicle route prediction is one of the significant tasks in vehicles mobility. It is one of the
means to reduce the accidents and increase comfort in human life. The task of route …

For autonomous vehicles to drive safely, it is crucial to predict motion of other vehicles as
well as to detect. The motion of the vehicle is affected by the location of other vehicles, road …

Predicting the trajectories of neighboring vehicles is essential to evade or mitigate collision
with traffic participants. However, due to inadequate previous information and the …

Road safety is a significant issue in any intelligent transportation system (ITS). Intersections
are the most complex part of the road network, as they involve various participants, such as …

With the rapid development of autonomous driving, how to understand the behavior of
targets around autonomous driving has become an important part of the autonomous driving …

In this paper, we design an ambient vehicle path prediction model based on deep learning.
The most important goal of the autonomous driving system is to ensure the safety of …

Vehicle driving path planning is an important information service in intelligent transportation
systems. As an important basis for path planning optimization, the travel time prediction …

For driving safely and comfortably, the long-term trajectory prediction of surrounding
vehicles is essential for autonomous vehicles. For handling the uncertain nature of trajectory …