… for the purpose of safe behavioral planning in an automotive scenario in this paper. …
Dillmann, “Probabilistic MDPBehavior Planning for Cars,” in IEEE Conference on Intelligent …

… of the vehicle. We propose efficient decision-making and motion planning based on
probabilistic … To improve safety within the near future, probabilistic predictions are employed that …

… a probability pc2(s). Assuming that vehicles don’t intentionally collide with each other, we
treat these two probabilities as independent so the probability of collision is the following joint …

… between vehicles, which in turn decreased the probability of … in approaching vehicles’
speed, the probability of pedestrians … besides vehicle speed, pedestrian distance to the vehicle …

… We remain in the right lane behind vehicle 1 until vehicle 2 initiates a lane … We pass both
vehicles and return to the right lane, from [1] c … Probabilistic MDP-behavior planning for cars. In: …

… modeling of pedestrian and vehicle maneuvers in near misses … the probability of a transition
from state s to state s ′ taking actions ( a 1 , … , a N ). η is a subset of transition probabilities …

… Moreover, these methods suffer from a non-linearity issue of vehicle dynamics, that causes
… to explore an empty parking spot, plan then park a car in a random parking spot by avoiding …

… is a map from a given state to a probability distribution for each possible action. The agent
… One stopped vehicle is placed in front of the ego-vehicle’s initial position. The other vehicles …

… Domain experts may have mental models of MDP behavior … in Mountain Car store energy
by rocking the car back and … for Mountain Car with a parameter controlling the probability of …

… probabilistic assessment of road lanes and a deterministic assessment of the inter-vehicular
gaps. For the probabilistic … Probabilistic MDP-Behavior Planning for Cars. In 2011 IEEE 14th …