Sensing, computing, and communication advancements allow vehicles to generate and
collect massive amounts of data on their state and surroundings. Such richness of …

The richness of information generated by today's vehicles fosters the development of data-
driven decision-making models, with the additional capability to account for the context in …

Adaptive cruise control (ACC) enables efficient, safe, and intelligent vehicle control by
autonomously adjusting speed and ensuring a safe following distance from the vehicle in …

We present a novel adaptive cruise control (ACC) system namely SAINT-ACC:{S} afety-{A}
ware {Int} elligent {ACC} system (SAINT-ACC) that is designed to achieve simultaneous …

Learning-based approaches, such as reinforcement learning (RL) and imitation learning
(IL), have indicated superiority over rule-based approaches in complex urban autonomous …

In this paper, we present an advanced adaptive cruise control (ACC) concept powered by
Deep Reinforcement Learning (DRL) that generates safe, human-like, and comfortable car …

The transportation system is moving towards higher levels of autonomy. Longitudinal speed
control, or adaptive cruise control (ACC), is intended to provide driver assistance by …

Autonomous driving (AD) provides a reliable solution for safe driving by replacing human
drivers responsible for the majority of accidents. The emergence of Machine Learning …

Adaptive cruise control (ACC) is one of the frontier functionality for highly automated
vehicles and has been widely studied by both academia and industry. However, previous …

Autonomous driving depends on perception systems to understand the environment and to
inform downstream decision-making. While advanced perception systems utilizing black-box …