基于LiDAR的机器人建图SLAM：最新进展与新前沿
LiDAR-based SLAM for robotic mapping: state of the art and new frontiers
AI总结：
本文系统综述了基于LiDAR的SLAM技术最新进展，重点梳理不同LiDAR类型与配置的应用，并提供代表性算法比较，进而展望该领域的新前沿与待解挑战。
摘要：
近几十年来，机器人建图领域在基于LiDAR（光探测与测距）的同步定位与建图（SLAM）技术方面取得了广泛的研究与发展。本文回顾了基于LiDAR的SLAM的最新进展，并探讨了为满足当代应用需求仍需关注的剩余挑战。本研究的一个独特之处在于其文献调研专门考察了不同类型和配置的LiDAR的应用，这使其区别于以往的综述。此外，本文还给出了若干具有代表性的基于LiDAR的SLAM算法比较，可作为参考依据。最后，文章以对基于LiDAR的SLAM领域中新前沿出现的深入讨论作结。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
