Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs.
Sebastian BrechtelTobias GindeleRüdiger DillmannPublished in: ITSC (2014)
Keyphrases
- decision making under uncertainty
- autonomous driving
- dec pomdps
- decision makers
- decision making
- grand challenge
- influence diagrams
- possibility theory
- stochastic programming
- decision theory
- probability theory
- probabilistic model
- reinforcement learning
- dynamic programming
- stereo vision
- decision theoretic
- partially observable markov decision processes
- belief state
- vision algorithms
- belief networks
- markov decision processes
- state space
- bayesian networks
- knowledge base