… under uncertainty for autonomous … the uncertainty of traffic participants and the autonomous
vehicle, respectively. The planning algorithm for both traffic participants and autonomous …

… and uncertain knowledge about how the world evolves over time. The domain of autonomous
driving is a very good example: On the one hand, the intentions of other traffic participants …

… to predict future motion of traffic actors. Comprehensive overview of the topic can be found
in [30, 47]. Here, we review literature from the perspective of autonomous driving domain. We …

… POMDP framework for autonomous driving under various … prediction uncertainty in terms
of maneuver uncertainty and … sent observation uncertainty and to include traffic participants …

… autonomous driving in city traffic must cope with dynamic environments including other agents
with uncertain … maneuver or how to safely merge into traffic. Previous work in the literature …

… It is mainly generated by traffic events such as surrounding vehicles, traffic lights and … which
means that the future states of the traffic (eg, positions of other vehicles, traffic light time...) are …

… driving is to build up an agent that can drive safely and efficiently in uncertain traffic
environment,where the uncertainty is … of other traffic participants. Early approaches addressing the …

… the ego vehicle, the motion of its surrounding traffic participants need to be predicted. The …
framework for autonomous driving in varying situations. We define four key uncertainties which …

… An example of incident detection is traffic accident detection. Recurrent … of uncertainties
that the future autonomous driving will need to address going forward. These are uncertainties …

… overlooks the potential effects of certain uncertainties. In autonomous driving, there are
considerable uncertainties in both the environment (eg traffic situations) and the vehicle itself (eg …