… In this paper, the DDPG algorithm with continuous action space is adopted as the RL policy
generator, ie, πrl, which controls both longitudinal and lateral motions of the AV directly. Note …

… Autonomous driving has had strong potential in the field of … highways proved that autonomous
cars can drive on a … in the path planning algorithms for off-road autonomous driving. The “…

… planning algorithms for highway driving with autonomous … and control constraints, and
driver/highway driving rules, to … in [97]: robustness of the algorithm to find a solution despite the …

… an appropriate algorithm to handle tactical decision-making in autonomous navigation. …
We also aim to measure the expense of our robust decision-making approach and compare that …

… framework for highway autonomous driving decisions that prioritizes both safety and robustness.
… In this study, to test the effectiveness, robustness, and safety of the proposed algorithm (…

… paper is proposing a new, more robust, and more realistic algorithm for Direct Perception …
focus on autonomous driving for highway road conditions. We divide the highway environment …

… Fully automated driving on highways is expected to enhance safety, fuel economy and
highway capacity. The advantages of automated driving such as enhanced transportation safety …

… In this section, the proposed CAAC algorithm is introduced to learn the robust optimal
highway on-ramp merging policies. CAAC seeks to solve the following constrained optimization …

… of scenarios F and choose highway merging and exiting ramp … navigation, we add a safety
prioritizer to the MARL algorithm, … The safety prioritizer consists of Algorithm 2 and Algorithm 3. …

… from the daily travel section, such as the highway sections from the school to the Garden Expo
… In this paper, a lane-mark extraction algorithm based on autonomous driving with onboard …