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 …

Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …

A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …

This paper presents a novel motion planning and tracking framework for automated vehicles
based on artificial potential field (APF) elaborated resistance approach. Motion planning is …

Curvy roads are a particular type of urban road scenario, wherein the curvature of the road
centerline changes drastically. This paper is focused on the trajectory planning task for …

In this paper, we study how to test the intelligence of an autonomous vehicle.
Comprehensive testing is crucial to both vehicle manufactories and customers. Existing …

Trajectory planning is essential for self-driving vehicles and has stringent requirements for
accuracy and efficiency. The existing trajectory planning methods have limitations in the …

Advanced driver assistance systems or highly automated driving systems for lane change
maneuvers are expected to enhance highway traffic safety, transport efficiency, and driver …

Intelligent unmanned autonomous systems are some of the most important applications of
artificial intelligence (AI). The development of such systems can significantly promote …

Traditional planning and control methods could fail to find a feasible trajectory for an
autonomous vehicle to execute amongst dense traffic on roads. This is because the obstacle …