An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios

Precisely modeling interactions and accurately predicting trajectories of surrounding vehicles are essential to the decision-making and path-planning of intelligent vehicles. This paper proposes a novel framework based on ensemble learning to improve the performance of trajectory predictions in interactive scenarios. The framework is termed...

Assimilating Aircraft-based measurements to improve the State of Distal Volcanic Ash Cloud

Estimation of volcanic ash emissions with satellite data: The inclusion of mass loading and plume height information in modified 4D-Var