Currently, research on automated vehicles is strongly related to technological advances to
achieve a safe, more comfortable driving process in different circumstances. The main …

This study proposes a novel mixed motion planning and tracking (MPT) control framework
for autonomous vehicles (AVs) based on model predictive control (MPC), which is made up …

In this article, we propose an optimization-based integrated behavior planning and motion
control scheme, which is an interpretable and adaptable urban autonomous driving solution …

In this paper, a hierarchical motion planning framework is proposed to solve complex
navigation problem in realistic dynamic traffic environments. Firstly, according to the …

Automated parking will probably be among the first tasks performed by fully autonomous
vehicles. To smoothly integrate into the existing infrastructure and traffic scenarios an …

This paper investigates an integrated traffic environment modeling and model predictive
control (MPC) system to realize interaction-aware dynamic motion planning of an …

Rapid growth of the number of vehicle in Europe in the last two decades requires efficient
transportation and mobility, especially in urban areas. Special focus is needed for the …

Parking road vehicles is one of the most tedious and challenging tasks a human driver
performs. Despite the low speeds involved, parking manoeuvres are among the main …

Motion planning plays a significant role in enabling advances of autonomous vehicles in
saving lives and improving traffic efficiency. In a predictive motionplanning strategy, the ego …

Automated Driving Systems (ADS) have received a considerable amount of attention in the
last few decades, as part of the Intelligent Transportation Systems (ITS) field. However, this …