… analysis on trajectory prediction for AVs … prediction models and trajectory datasets. • We
explore mitigation methods against adversarial examples via data augmentation and trajectory …

… , autonomous vehicles should be able to predict the future states of traffic participants nearby,
especially surrounding vehicles, … to the field of trajectory prediction and propose different …

… Abstract— To safely and efficiently navigate through complex traffic scenarios,
autonomous vehicles need to have the ability to predict the future motion of surrounding …

… decisions and planning, autonomous vehicles are required to predict the future trajectories
of the surrounding vehicles. In this paper, a novel trajectory prediction network with the fusion …

… vehicle trajectory prediction as estimating future trajectory distributions given past trajectories…
Thus, better motion planning algorithms for autonomous vehicles based on the predictions …

… in relation to surrounding traffic-agents (vehicles, bicycles, pedestrians, etc.). A challenging
… -agents and predict their future trajectories accurately to help the autonomous vehicle make …

… —Trajectory prediction is crucial for autonomous vehicles. The … As for vehicles, their trajectories
are significantly influenced … By integrating the lane features and trajectory features, a goal…

… To narrow the autonomous vehicle's cues to a region of … encoding of scenes and agent
trajectories and uses their various … HT is a novel network that outputs trajectory predictions and …

… To ensure safe and efficient operations, an autonomous vehicle is required to account for …
We address this critical problem and present a method to predict multiple possible trajectories …

… of autonomous vehicle system, which directly influences the automated traffic safety. In this
paper, the motion prediction of … Nashashibi, “Real time trajectory prediction for collision risk …