… 密度的多模态预期轨迹预测(probabilistic multi-modal expected trajectory prediction,PMETP) …
Probabilistic multi-modal tra⁃ jectory prediction with lane attention for autonomous vehicles[…

… would it take to demonstrate autonomous vehicle reliability? Transportation Research Part
A… Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural …

… trajectory prediction method of Goal Supervised Attention (… of the lane segment through the
graph network,a lane goal … -aware predictive trajectory planning for autonomous vehicle in …

… is one of the key technologies for autonomous driving. In … Vehicle motion trajectory
prediction based on attention … BiGRU based multimodal maneuvers and trajectory prediction[J…

… proposes a trajectory prediction method based on vehicle multi-… to generate multi-modal
results of the trajectory endpoints. … Dynamic probabilistic drivability maps for lane change and …

… , multi- modal motion and vehicle-road interaction scenarios. Key words: Autonomous driving,
Vehicle trajectory prediction, … Multipath: Multiple probabilistic anchor trajectory hypotheses …

… , a trajectory prediction method combined with high definition map in graph attention mode
was … Probabilistic vehicle trajectory prediction over occupancy grid map via re⁃ current neural …

… ability of autonomous vehicles to accurately predict the driving … probability of the predicted
vehicles in lane keeping, left lane … Multi-Modal Trajectory Prediction of Surrounding Vehicles …

… The method of probabilistic multi-modal expected trajectory prediction based on LSTM. …
Early lane change prediction for automated driving systems using multi-task attention-based …

… of multimodal trajectory prediction for autonomous driving. Based on … Multi-modal trajectory
prediction of surrounding vehicles with … neural system for probabilistic trajectory prediction[C]//…