A POMDP Maneuver Planner For Occlusions in Urban Scenarios.
Constantin HubmannNils QuetschlichJens SchulzJulian BernhardDaniel AlthoffChristoph StillerPublished in: IV (2019)
Keyphrases
- computer vision
- reinforcement learning
- state space
- dynamical systems
- man made
- closed loop
- image sequences
- finite state
- heuristic search
- partially observable
- domain independent
- urban planning
- urban areas
- belief state
- partially observable markov decision process
- fuzzy control
- robust tracking
- real world
- multi agent
- control system
- partially observable markov decision processes
- belief space
- partial observability
- hidden state
- machine learning