When will automated vehicles come onto the market? This question has puzzled the
automotive industry and society for years. The technology and its implementation have …

Market introduction of automated driving features several motivations including road safety,
driving comfort, energy efficiency and totally new transport systems. However, many …

In complex lane change (LC) scenarios, semantic interpretation and safety analysis of
dynamic interaction pattern are necessary for autonomous vehicles to make appropriate …

Recent innovation in highly automated driving in industrial and scientific domains has
created a growing demand for logical description of statistically meaningful real-world …

The number of research papers on decision-making systems in automated driving has
increased significantly over the last few years. Decision-making for automated driving can …

For a successful market launch of automated vehicles (AVs), proof of their safety is essential.
Due to the open parameter space, an infinite number of traffic situations can occur, which …

Increasing automation calls for evaluating the effectiveness and intelligence of automated
vehicles. This paper proposes a framework for quantitatively evaluating the intelligence of …

This paper proposes a measurement of risk (MOR) method to recognize risky driving
behavior based on the trajectory data extracted from surveillance videos. Three types of …

This review comprehensively investigates the current state and emerging trends of
autonomous vehicle terrain detection and segmentation. By systematically reviewing …

Balancing safety and efficiency when planning in dense traffic is challenging. Interactive
behavior planners incorporate prediction uncertainty and interactivity inherent to these traffic …