Adaptive Cruise Control (ACC) is one of Advanced Driver Assistance Systems (ADAS) which
takes over vehicle longitudinal control under necessary driving scenarios. Vehicle in ACC …

Reinforcement learning (RL) can be used to design smart driving policies in complex
situations where traditional methods cannot. However, they are frequently black-box in …

Exiting from highways in crowded dynamic traffic is an important path planning task for
autonomous vehicles (AVs). This task can be challenging because of the uncertain motion of …

To increase the efficiency of road transport and reduce exhaust emissions, research has
been intensified in assisted control systems, where adaptive cruise control (ACC) and …

Autonomous driving (AV) has been intensively researched over the last decade. In this
paper, we introduce an open autonomous driving software stack to enable faster design …

Assessing the relative position of surrounding vehicles is a core requirement of autonomous
vehicles to make decisions and plan driving trajectories. Many approaches based on …

Stopping control, which involves arriving and stopping smoothly and precisely at the
platform, is a crucial performance measure for autonomous buses. However, the …

The perception system is a key component of automated vehicles, as it relies on onboard
sensors to gather information. However, the system faces challenges due to occlusions that …

Анотація У цій роботі досліджено систему адаптивного круїз-контролю автомобіля.
Було запропоновано метод визначення основної цілі для системи адаптивного круїз …