The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …

Autonomous vehicle (AV) industry has evolved rapidly during the past decade. Research
and development in each sub-module (perception, state estimation, motion planning etc.) of …

Scenario understanding and motion prediction are essential components for completely
replacing human drivers and for enabling highly and fully automated driving (SAE-Level …

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 …

Reliable prediction of surround vehicle motion is a critical requirement for path planning for
autonomous vehicles. In this paper, we propose a unified framework for surround vehicle …

Accurate knowledge about the motion state of preceding vehicles (PVs) contributes to the
optimization of planning and decision making of autonomous vehicles, which in turn further …

Following detection and tracking of traffic actors, prediction of their future motion is the next
critical component of a self-driving vehicle (SDV) technology, allowing the SDV to operate …

The significant contribution of human errors, accounting for approximately 94%(with a
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …

In recent years, research concerning autonomous driving has gained momentum to
enhance road safety and traffic efficiency. Relevant concepts are being applied to the fields …

Autonomous vehicles (AV) are rapidly becoming integrated into everyday life, with several
countries anticipating their inclusion in public transport networks in the coming years. Safety …