… making is essential for driving safety and efficiency. This paper presents a situation-aware
decision making algorithm for autonomous driving on urban road. Specifically, an urban road …

… , autonomous driving (AD) crucially requires a human-level understanding of situation-aware
traffic … We propose a situation-aware traffic control hand-gesture recognition system, which …

… a strategy for situation awareness in autonomous driving based on the notion of road events,
and contributed a new ROad event Awareness Dataset for Autonomous Driving (ROAD) as …

… autonomous, safety, legal and ethical obligations require that drivers remain aware of the
driving situation. … to perform fully autonomous driving in all possible on-road situations [22]. It is …

… ] as an interaction-aware input module in reinforcement learning for autonomous driving. We
employ … between vehicles in DRL for autonomous driving and extending existing set input …

… Motion Autonomy and Safety issues in Autonomous Vehicles are strongly dependent
upon the capabilities and performances of both Embedded Perception and Decision-making …

Maintaining situation awareness (SA) is essential for drivers to deal with the situations that
Society of Automotive Engineers (SAE) Level 3 automated vehicle systems are not designed …

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

… this problem in lane driving situation including performing lane changing or lane keeping
maneuvers. A general POMDP model is formulated to represent autonomous driving decision-…

… forklifts and autonomous tugger trains, substantial challenges emerge to optimize … vehicles
and autonomous vehicles. In an analogous domain, in road autonomous driving, vehicles’ …