… go through the trajectory prediction problem, which is responsible for forecasting the trajectories
and … of the key challenges to unleash autonomous vehicles at the large scale. Accurate …

… Autonomous vehicles are expected to drive in complex scenarios with several independent
non cooperating agents. Path planning for safely navigating in such environments can not …

… This study focuses on the trajectory prediction of surrounding vehicles and longitudinal …
with surrounding vehicles. The main objective of this work is to improve the trajectory prediction …

… that utilizes the mathematical model of vehicles to predict the future situation of the vehicle
within a limited range of horizons called the prediction horizon. The basic principle of the MPC …

… autonomous vehicle must have the ability to predict future trajectories of its surrounding
vehicles … This prediction is expected to be more precise than human drivers’ estimation with rich …

… important role for autonomous vehicle, which aims to guarantee the driving safety under cut-…
a hybrid prediction model for computing the future trajectory of the surrounding vehicles and …

… However, most of these approaches are used in navigation and motion planning and none
have been designed specifically for object trajectory prediction for autonomous vehicles [28…

… In our trajectory prediction process, we treat the output trajectory as a bivariate Gaussian …
Wang, “Trajectory prediction network of autonomous vehicles with fusion of historical …

… protocol for trajectory prediction is crucial to capture its effectiveness for autonomous driving.
… The dynamics gap arises from the fact that the behavior of the autonomous vehicle, also …

… driving intention make trajectory prediction a challenging task… ) model for the task of trajectory
prediction to account for both … Trajectory prediction is a crucial part of autonomous vehicles…