SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies.
Matt VitelliYan ChangYawei YeAna FerreiraMaciej WolczykBlazej OsinskiMoritz NiendorfHugo GrimmettQiangui HuangAshesh JainPeter OndruskaPublished in: ICRA (2022)
Keyphrases
- real world
- driving simulator
- real time
- wide range
- optimal policy
- macro actions
- data sets
- heuristic search
- dangerous situations
- markov decision problems
- moving vehicles
- driver assistance systems
- vehicle tracking
- blocks world
- traffic accidents
- stochastic domains
- driving behavior
- ai planning
- transport systems
- state space
- routing decisions
- intelligent transport systems
- car navigation
- fuel consumption
- traffic conditions
- planning process
- vehicle detection
- partially observable markov decision processes
- partially observable
- travel time
- traffic flow
- planning problems
- mobile robot