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动态环境下的移动机器人同时定位与地图构建的博士论文-Dynamic environment of mobile robot simultaneous localization and mapping of the doctoral thesis
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概率机器人基于卡尔曼滤波器实现实时定位和地图创建（SLAM）的算法，用matlab编写，涵盖了机器人二维场景。-The simultaneous localization and mapping algorithm based on the Kalman filter. Robot work enviroment is 2D.
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压缩扩展卡尔曼滤波的同时定位与构图算法，自行设定路径和路标，动画显示定位过程-Compression and expansion of Calman filter simultaneous localization and mapping algorithm, set the path and road signs, animation display positioning process
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基于随机有限集的SLAM算法源代码，对于研究同步定位与地图构建算法有一定的参考价值-Based on stochastic finite set of SLAM algorithm source code, for the study of simultaneous localization and mapping algorithm has a certain reference value
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cartographer是一个系统，提供实时同步定位和测绘(SLAM)在二维和三维跨多个平台和传感器配置。(Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.)
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