On-ramp merging is one of the important V2X (Vehicle-to-Everything) applications and is
critical for both driving safety and traffic efficiency. The ramp vehicle needs to get information …

Lane change is a common-yet-challenging driving behavior for automated vehicles. To
improve the safety and efficiency of automated vehicles, researchers have proposed various …

Autonomous driving (AD) holds the potential to revolutionize transportation efficiency, but its
success hinges on robust behavior planning (BP) mechanisms. Reinforcement learning (RL) …

The intricate interactions with other road users and the diversity of traffic environments
create a challenging decision-making task for autonomous driving systems. While offline …

In this work, we use the communication of intent as a means to facilitate cooperation
between autonomous vehicle agents. Generally speaking, intents can be any reliable …

Although technology advances these years, the optimization problem of coordinating
autonomous merging high-ways is challenging. This paper aims to achieve a smooth and …

Developing and testing automated driving models in the real world might be challenging
and even dangerous, while simulation can help with this, especially for challenging …

Autonomous parallel-style on-ramp merging in human controlled traffic continues to be an
existing issue for autonomous vehicle control. Existing non-learning based solutions for …

On-ramp merging is a complex and high-accidents scenario. The complexity of on-ramp
merging scenario is mainly reflected in the aspects of varied merging environment and …

Highway is one of the important scenarios faced by autonomous driving. However, in this
scenario, smart cars need to meet the requirements of high efficiency (ie high speed) and …