A multiple hypothesis localization (MHL) algorithm considers a number of hypotheses but converges slowly when there are non-unique features in the environment.

• 为了克服多假设定位算法在特征非唯一环境中假设数量大、收敛速度慢的问题,提出了利用负信息的改进算法。