Machine learningMapping and Localization
同步定位与建图
同步定位与建图（SLAM）是指一个移动机器人利用带有噪声的传感器测量值，在构建环境地图的同时，确定自身在地图中位置的问题。SLAM由Durrant-Whyte和Bailey于2006年提出，是自主机器人学的基石，使机器人在没有先验地图或外部定位系统的情况下，能够导航和探索未知环境。
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来源
- Durrant-Whyte, H., & Bailey, T. (2006). Simultaneous localization and mapping (SLAM): Part I. IEEE Robotics & Automation Magazine, 13(2), 99-110. DOI: 10.1109/MRA.2006.1638022 ↗
- Thrun, S., Burgard, W., & Fox, D. (2005). Probabilistic Robotics. MIT Press. link ↗
- Dellaert, F., & Kaess, M. (2012). Square root SAM: Simultaneous localization and mapping via square root factor graphs. International Journal of Robotics Research, 25(12), 1181-1203. link ↗
如何引用本页
ScholarGate. (2026, June 3). Simultaneous Localization and Mapping. ScholarGate. https://scholargate.app/zh/control-theory/simultaneous-localization-and-mapping
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