Risk-Aware Belief Control Barrier Functions over Random Finite Sets
This work addresses safe control under the induced multi-object state uncertainty with a risk-aware belief control barrier function (BCBF) framework and establishes forward invariance of the safe set under continuous prediction, and derives an explicit condition under which discrete updates preserve safety.