This paper presents the design and first test on a simulator of a vehicle trajectory-planning
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …

Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …

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 …

Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …

This paper outlines a predictive maneuver-planning method for autonomous vehicle
navigating public highway traffic. The method integrates discrete maneuvering decisions, ie …

We present AutonoVi, a novel algorithm for autonomous vehicle navigation that supports
dynamic maneuvers and integrates traffic constraints and norms. Our approach is based on …

This paper presents a novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …

Automatic lane-changing is a complex and critical task for autonomous vehicle control.
Existing researches on autonomous vehicle technology mainly focus on avoiding obstacles; …

A safe trajectory planning for on-road autonomous driving is a challenging problem owing to
the variety and complexity of driving environments. The problem should involve the …

Efficient trajectory planning of autonomous vehicles in complex traffic scenarios is of interest
both academically and in automotive industry. Time efficiency and safety are of key …