From Footprints to Beliefprints: Motion Planning under Uncertainty for Maneuvering Automated Vehicles in Dense Scenarios.
Holger BanzhafMaxim DolgovJan Erik StelletJ. Marius ZöllnerPublished in: ITSC (2018)
Keyphrases
- planning under uncertainty
- robotic tasks
- motion planning
- decision theoretic
- markov decision processes
- optical flow fields
- ai planning
- image sequences
- traffic scenes
- dynamical systems
- motion estimation
- multi agent
- optical flow
- humanoid robot
- motion model
- target tracking
- moving objects
- machine learning
- optimal policy
- path planning
- probability distribution
- degrees of freedom
- computational complexity
- search algorithm
- reinforcement learning
- learning algorithm