文献类型：期刊文献

英文题名：Multi-Sensor Fusion for LiDAR SLAM: A Survey of Development

作者：Yang, Gaorunxi[1,2]; Liu, Yuansheng[1,2]; Xiao, Rongchun[1,2]

第一作者：Yang, Gaorunxi

机构：[1] Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, 100101, China; [2] College of Robotics, Beijing Union University, Beijing, 100101, China

第一机构：北京联合大学北京市信息服务工程重点实验室

年份：2026

卷号：2816 CCIS

起止页码：306-321

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20263421327596)

语种：英文

外文关键词：Computational efficiency - Computer vision - SLAM robotics

摘要：Simultaneous Localization and Mapping (SLAM) has become a cornerstone technology for Autonomous control of unmanned vehicles. However, single-sensor SLAM systems often struggle to meet the demands of high-precision and robust perception in complex environments. This survey provides a comprehensive review of recent developments in multi-sensor fusion SLAM. We analyze the core framework and key research directions such as Visual SLAM, Lidar SLAM and Multi-sensor fusion SLAM. In addition, we highlight major datasets and evaluation metrics that have driven benchmarking efforts in the community. Finally, we identify existing challenges in dynamic environments, computational efficiency, and large-scale deployment, and outline future trends for advancing SLAM towards greater autonomy, robustness, and intelligence. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.