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A Bayesian Surprise Approach in Designing Cognitive Radar for Autonomous Driving
This article proposes the Bayesian surprise as the main methodology that drives the cognitive radar to estimate a target’s future state (i.e., velocity, distance) from noisy measurements and execute a decision to minimize the estimation error over time. The research aims to demonstrate whether the c...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141882/ https://www.ncbi.nlm.nih.gov/pubmed/35626556 http://dx.doi.org/10.3390/e24050672 |