Graph-based SLAM: A Survey

Graph-based simultaneous localization and mapping(SLAM) is currently a hot research topic in the field of robotics.Frame-to-frame alignment,loop closure detection and graph optimization are three main aspects in graph-based SLAM.For each aspect,the key techniques and current progress are discussed,and the difficult problems and the possible solutions are also analyzed.Finally,the potential future issues and research trends are explored.