Evidential Combination Operators for Entrapment Prediction in Advanced Driver Assistance Systems
We propose the use of evidential combination operators for advanced driver assistance systems (ADAS) for vehicles. More specifically, we elaborate on how three different operators, one precise and two imprecise, can be used for the purpose of entrapment prediction, i.e., to estimate when the relative positions and speeds of the surrounding vehicles can potentially become dangerous. We motivate the use of the imprecise operators by their ability to model uncertainty in the underlying sensor information and we provide an example that demonstrates the differences between the operators.
KeywordsEvidential combination operators advanced driver assistance systems Bayesian theory credal sets Dempster-Shafer theory
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