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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Detalles Bibliográficos
Autores principales: Zamiri-Jafarian, Yeganeh, Plataniotis, Konstantinos N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141882/
https://www.ncbi.nlm.nih.gov/pubmed/35626556
http://dx.doi.org/10.3390/e24050672

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