Before revision:  The popular method, Monte Carlo Localization (MCL) addresses the problem by sampling uniformly ] over the state space , which is unfortunately inefficient when the environment is large .
After revision:  The popular method, Monte Carlo Localization (MCL) addresses the problem by sampling uniformly ] over the state space . Although variants of MCL propose different sampling models, they fail to provide an accurate distribution or generalize across scenes .