In this paper, we present a hierarchical framework for decision-making and planning on
highway driving tasks. We utilized intelligent driving models (IDM and MOBIL) to generate …

Trajectory planning is one of the most important modules of the Autonomous Driving
Systems (ADSs), which aims to achieve a safe and comfortable interaction between the …

Tactical decision-making and strategic motion planning for autonomous highway driving are
challenging due to predicting other road users' behaviors, diversity of environments, and …

By knowing what the driver will do next, it is possible to assist drivers only as much as
necessary. Especially in level two safety relevant collision avoidance systems, it is beneficial …

Trajectory planning in the intersection is a challenging problem due to the strong uncertain
intentions of surrounding agents. Conventional methods may fail in some corner cases …

Intersection is one of the most complex and accident-prone urban traffic scenarios for
autonomous driving wherein making safe and computationally efficient decisions with high …

The operational space of an autonomous vehicle (AV) can be diverse and vary significantly.
Due to this, formulating a rule based decision maker for selecting driving maneuvers may …

Safe and efficient decision-making and path planning is a challenging problem for
autonomous driving in highway because of numerous dynamic vehicles around the ego …

Autonomous driving presents significant challenges due to the variability of behaviours
exhibited by surrounding vehicles and the diversity of scenarios encountered. To address …

Decision-making and motion planning are two core functionalities of intelligent vehicles. A
novel integrated decision-making and planning framework is presented for real-time and …