With the increasing requirements of real-time traffic management in urban transportation,
vehicle destination prediction data, as an important part of smart city brain data, is becoming …

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 …

To plan travel routes reasonably and alleviate traffic congestion effectively, trajectory
prediction of vehicles plays an important and necessary role in intelligent transportation …

Predicting the future trajectory of vehicles is essential to the safety of autonomous driving.
However, due to the uncertainty of the future behavior of vehicles and the complexity of …

In order to make the navigation system of autonomous vehicle more robust and safe in
urban environment we propose in this paper a model for driver intention prediction and …

Predicting the driving behavior of surrounding vehicles is critical to perform motion planning
tasks for autonomous vehicles. In this paper, we propose a dual long short-term memory …

Vehicle trajectory prediction is essential in ensuring the safe and efficient operation of
advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), as it enables …

The expectations regarding autonomous vehicles are very high to transform the future
mobility and ensure more road safety. Autonomous driving system should be able in the …

To address the problem of the lack of interpretability of vehicle trajectory prediction models
based on deep learning, this paper proposes a Fusion Neural network with the Spatio …