… intersections or about driving strategies, but the two are not well … for training autonomous
vehicles to recognize traffic signs at … strategic interaction between autonomous driving vehicles …

… Unsignalized intersection is a difficult scenario for decision … In our work, an online solver is
chosen to adapt to the … to pass through the intersection than the one that does not use CTPs. …

… when the oncoming vehicles are not using turn signals is one of the … A regular unsignalized
intersection scenario has been … making for autonomous driving considering interaction and …

… to manage the intersection is traffic signals control. However, … in autonomous driving including
intersection scenarios. … for highly interactive intersection planning problems for self-driving …

… because, due to the lack of guidance from traffic signals, a driver/automation needs to …
11, we show two traffic scenarios at a T-shaped intersection extracted from the INTERACTION …

… trajectories of autonomous vehicles and lacks the ability of … trajectory planning problem
under the interaction between … location and status of lane lines, crosswalks and traffic lights. …

… the interaction between other road users and the ego vehicle … the drawback that the trajectory
planning might not be able to … scheme presented in this work generalizes to many situations…

… -ramp merging traffic scenario where the autonomous vehicle (… scenarios because they
do not account for the interaction … the vehicle behavior applied to intersection scenarios. In …

… world driving scenarios like city driving and busy intersections. … Traffic signals (ts): Encode
the traffic signal states with an LSTM … comparison between a base LSTM (without rg, ts, or hi) …

… on a real automated vehicle in dense city traffic without an HD-map … with particular scenarios,
such as merging or intersections, … at time t, including road structures, traffic signals, and the …