… Abstract—Autonomous driving requires decision making in … as a partially observable Markov
decision process (POMDP) … the surroundings allows the autonomous car to incorporate the …

… of ensuring accurate and efficient autonomous driving. The iden… part of ensuring safe
autonomous driving, since it can aid in … The scenes involved in autonomous driving scenarios …

… TACTICAL DECISION MAKING FRAMEWORK This paper introduces a framework that
combines planning and learning for tactical decision making in the autonomous driving domain. …

… -like decisionmaking algorithms for AVs, typical driving styles are defined at first to reflect
different driving characteristics during the modeling phase. Beyond this, the decision-making …

… In this paper a generic approach to tactical decisionmaking for self driving cars is presented.
We argue that uncertainties, which have their origin mainly in the stochastic behavior of …

… [2] difficult to scale up to full realworld driving. A major drawback of such techniques is that
… decisionmaking (MPDM), a high-level decision process that factors autonomous driving into …

… intention-aware decision-making algorithm for autonomous driving in an uncontrolled …
decision process (POMDP) framework is built to model the autonomous driving decision-making …

… a collision and incidences of driver error—specifically, traffic … is counterproductive in achieving
driving efficiency and can lead to … a decision-making framework for autonomous driving at …

… performance in real-life road conditions, where most vehicles are in the hands of human
drivers, we design an autonomous driving system in the paper to understand complicated road …

… the decision making part in the classically admitted hierarchical architecture of autonomous
… for decision making: the individual, the collective, and the driver cooperative decisions. …