DOI: 10.1109/iccas.2015.7364974
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Abstract: As automated vehicles begin operating on complex urban roads, precise decision making for automated driving has been increasingly important for safe automated driving. In particular, decision making at unsignalized intersections is one of the most challenging problems of automated urban driving. This paper presents intention-aware automated driving at unsignalized intersections. The intention of the traffic participant is modeled as a Dynamic Bayesian Network (DBN). Given the inference result, an intention-aw…

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