For Gauss-Markov processes the asymptotic behaviors of the first passage
time probability density functions through certain time-varying boundaries are
determined. Computational results for Wiener, Ornstein-Uhlenbeck and Brownian
bridge processes show that for certain large boundaries and for large times excellent
asymptotic approximations hold for such densities.