  In recent decades, the field of robotic mapping has witnessed widespread
research and development in LiDAR (Light Detection And Ranging)-based
simultaneous localization and mapping (SLAM) techniques. In this paper, we
review the state-of-the-art in LiDAR-based SLAM and explore the remaining
challenges that still require attention to satisfy the needs of contemporary
applications. A distinctive aspect of this study lies in its literature survey,
which specifically investigates the application of various types and
configurations of LiDAR, setting it apart from prior reviews. Furthermore,
several representative comparisons of LiDAR-based SLAM algorithms are
presented, which can serve as a point of reference. Finally, the paper
concludes with an insightful discussion on the emergence of new frontiers in
the domain of LiDAR-based SLAM.
