Driving-Condition Dependent and Monte Carlo Simulation-Based Optimization Method for a Bayesian Localization Filter for Parking.
Alexander BrunkerMoritz K. PaulThomas WohlgemuthMichael FreyFrank GauterinPublished in: IEEE Trans. Intell. Veh. (2020)
Keyphrases
- monte carlo
- optimization method
- monte carlo methods
- optimization process
- optimization algorithm
- optimization methods
- genetic algorithm
- differential evolution
- markov chain
- monte carlo simulation
- simulated annealing
- markov chain monte carlo
- importance sampling
- evolutionary algorithm
- nonlinear optimization
- optimization procedure
- metaheuristic
- particle filter
- monte carlo tree search
- stochastic approximation
- particle swarm
- markovian decision
- optimal strategy
- bayesian inference
- adaptive sampling
- posterior distribution
- maximum likelihood
- bayesian networks
- temporal difference
- bayesian learning
- matrix inversion
- frequency domain