… time of the system, and drivers’ performance on a non-driving-related task. We conducted a
… SAE level 3 automated driving system, and analyzed the factors that impacted drivers’ trust in …

… technologies and artificial intelligence in autonomous vehicles is explored in this work. …
As with self-driving car technology, this work developed a taxonomy of autonomous driving …

… We show that a unit-capacity mobility-on-demand service with self-driving cars reduces both
… In one case, even a service with human driven vehicles would provide higher service levels …

… enable multiple autonomous driving services on affordable … System for real-time autonomous
robots and vehicles services. The … Layer to fully utilize vehicle’s heterogeneous computing …

… This paper presented a multi-objective search approach for test scenario selection and
prioritization for autonomous driving systems (ADSs) with the ultimate aim of decreasing the …

… an equilibrium state, where no vehicle can decrease its trip … autonomous vehicles in the
network will affect the equilibrium state of traffic networks compared to the case when all vehicles …

… for autonomous driving. Instead of employing future control outputs as auxiliary tasks as
shown by [12], in this work we employ action and visual abstractions to guide the driving …

… To understand how autonomous driving vehicles are being … important networks related to
autonomous driving. The analysis shows … At the same time, the societal benefits from the new …

… M5 Social welfare oriented … To show how MARL could be specifically relevant to autonomous
driving, we have in Table 1 mapped the double merge scenario to MARL approaches at …

… a behavior adaptation function we demonstrate the … work is structured as follows: In Section
II we give a brief overview of the research on behavior generation in the automated driving …