… This paper focuses on the lane-changing trajectory planning (LTP) process in the
automatic driving technologies. Existing studies on the LTP algorithms are primarily the static …

… In contrast, in cooperative driving, feedback control is often used to achieve string-stable …
trajectory planning is bridged, by using a trajectory planner to generate cooperative trajectories, …

… trajectory planning and tracking algorithms of the autonomous vehicles conforming to various
driving styles, and the scenarios of autonomous driving … describes the interaction of the …

… Thus, advantages of long-term POMDP planning over reactive trajectory planning are not
very prominent. Liu et al. [30] on the other hand showed the advantages over a reactive …

… are typically rough, and the complicated interaction between tires and roads makes it difficult
… based model predictive trajectory planning controller for automated driving in unstructured, …

… learning an autonomous driving policy for the interactive lane change scenario. This paper’s
contributions towards making the HRL framework for trajectory planning more robust are: …

… trajectory planning method, adaptive to the uncertain interactions, called Value-Estimation-Guild
(VEG) trajectory … algorithm with the optimal trajectory planning algorithm based on …

… , a trajectory-planning algorithm for the two connected driver-… the vehicle model and the
driver model in which the driver’s … Each of the two DVSs plans its own trajectory by interacting …

… and efficient trajectory planning are closely related in autonomous driving technology,
especially in highway environment full of dynamic interactive traffic participants. This work …

… Tomizuka, ‘‘Probabilistic prediction of interactive driving behavior via hierarchical inverse
reinforcement learning,’’ 2018, arXiv:1809.02926. [Online]. Available: https://arxiv.org/abs/…