An evolving finite-state machine using online clustering and action-conditioned Markov chains recognizes a collision-prone Dead-End state and predicts subsequent states in a simulated car-following task.
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An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks
An evolving finite-state machine using online clustering and action-conditioned Markov chains recognizes a collision-prone Dead-End state and predicts subsequent states in a simulated car-following task.