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...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2022-05-01
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| Col·lecció: | Entropy |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1099-4300/24/5/672 |
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