… Graph Attention Network (ED-DGAT) to predict future trajectories of highway vehicles. In this
… Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver Based LSTMs[C]// …

… , the future development of pedestrian trajectory prediction … : Learning multi-modal distributions
of pedestrian trajectories … Pedestrian trajectory prediction model based on self-attention …

… Multi-head attention for multi-modal joint vehicle motion … -based LSTMs and road geometry
linearization[J]. Sensors, … network for vehicle trajectory prediction in autonomous driving[J]. …

… based predictive collision risk assessment for autonomous driving in highway scenarios[J]. …
Probabilistic risk metric for highway driving leveraging multi-modal trajectory predictions[J]. …

… Abstract: To address the problems of inadequate extraction of risk elements and low
robustness of risk scenario assessment in autonomous vehicles, a risk assessment framework …

… Deep multi-modal fusion in object detection for autonomous … Vehicle trajectory prediction
in connected environments via … for smooth path tracking of autonomous vehicles with steering …

… 因此,概率映射引导的双向递归 UNet(probabilistic-map-guided bi-… TransBTS: multimodal
brain tumor segmentation using … lane detection and path prediction for real-time autonomous …

… the transportation entity, it can understand what those risks are and the probability of …
Although the express industry doesn’t regard multi-modal transportation as one of recovery …

… CROMMELINCK 等[123] 研究了计算机视觉领域中的全局 化边界概率(globalized probability
of … on geometrical model for automated vehicle and advanced driver assistance system …

… -changing behaviour integrating with merging effect before a city road bottleneck. Phys A:
Stat Mech Appl 392 (20): 5143–5153 484. Lü W, Song WG, Fang ZM (2011) Three-…