基于随机有限集的slam。 The main purpose of this library is promote research in random finite set (RFS) estimation methods for the problem of simultaneous localization and mapping (SLAM). The intention of the authors is to keep the library general in the sense that users can define system models that are relevant to their specific problem, while not having to program and test their own implementation of RFS filters. This library is an on-going project, and we intend to update it when any related work is published. Any feedback will be app reciated.