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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| Huvudupphov: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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MDPI AG
2022-05-01
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| Serie: | Entropy |
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| Länkar: | https://www.mdpi.com/1099-4300/24/5/672 |
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