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Bayesian Geometric-based Interactions Learning Model for Self-aware Autonomous Agents
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DOI：10.1016/j.sigpro.2025.110237.png)
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Abstract
En 中文
• Geometric reasoning-based unsupervised data-driven method to infer interactions between AV states. • Geometric-based approach to estimate active/passive Interactive Transition Matrix for AVs. • Validation of method with complex real-world AV overtaking experiments. • Estimation of abstraction-level anomalies to identify novel interactions. • Self-aware interaction model with evolving memory for continual knowledge integration.
Keywords:
Interactive Hierarchical Generalized Dynamic Bayesian Network
Autobiographical Memory
Interactive Geometrical Markov Jump Particle Filter
Incremental learning
Active/passive interactions
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