… company monitoring hundreds of thousands of vehicles. … approach, in which the probability
of data retention decays over … scale-out, we examined MDP behavior under a naive, shared-…

… Autonomous driving vehicle is defined by the Nevada State law as "a motor vehicle …
problem is commonly modeled using probabilistic planning formalisms, such as Markov …

… general ground navigation early on in the field of autonomous vehicles [20]. They later fell out
of favor … Dillmann, “Probabilistic mdpbehavior planning for cars,” in 14th International IEEE …

… e = 0.1 means there is 10% probability to take a random initialization for the literal, and so
on… Probabilistic MDP-behavior planning for cars. In: 2011 14th International IEEE Conference …

… Incorporating probabilistic statistics from multiple trajectories offers a promising solution
for sub-optimal data, which guides policy behaviors with learned estimated returns from the …

This technical report presents an environment representation for use in vision-based navigation.
The representation has two useful properties: 1) it has constant size, which can enable …

… Throughout this work, we specify the machine degradation transition probabilities, though
several methods exist for estimating a Markov degradation transition matrix from observed data…

… 概率表(conditional probability tableꎬ CPT)组成ꎮ 节 点代表随机变量ꎬ节点的有向弧代表了…
Situation assessment in tactical lane change behavior planning for automated vehicles[C]. …

… on intelligent and automated vehicle in control-domain. First, a brief history of vehicle
automation is … Modelling of traffic situations at urban intersections with probabilistic non-parametric …

… -vehicle driving to multi-vehicle driving in hybrid traffic scenarios. The main forthcoming
challenge is to generate high-quality trajectories that conform to vehicle … Multi-vehicle driving can …