Left turning at unsignalized intersectionis one of the most challenging tasks for urban
automated driving, due to the various shapes of intersections and rapidly changing nature of …

Left-turn planning is one of the formidable challenges for autonomous vehicles, especially at
unsignalized intersections due to the unknown intentions of oncoming vehicles. This paper …

This paper proposes a two-stage trajectory planning method for self-driving vehicles (SDVs)
in intersection scenarios with uncertain social circumstances while considering other traffic …

The deployment of connected, automated vehicles (CAVs) provides the opportunity to
enhance the safety and efficiency of transportation systems. However, despite the rapid …

On-road trajectory planning is a direct reflection of an autonomous vehicle's intelligence
level when traveling on an urban road. The prevalent on-road trajectory planners include the …

This paper focuses on the real-time trajectory planning problem for autonomous vehicles
driving in realistic urban environments. To solve the complex navigation problem, we adopt …

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 …

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 …

Autonomous vehicle requires a general planner for all possible scenarios. Existing
researches design such a planner by a unified scenario description. However, it may …

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 …