Convex Safety Filtering via Spectral Selection for Nonconvex Safe Sets
The paper addresses nonconvex control barrier functions for safe sets that are unions of convex shapes. It proposes selecting eigenvectors of a matrix function at the current state to create a convex input constraint. This method ensures forward invariance while offering significant computational speed improvements over full-matrix semidefinite programming methods.