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Simultaneous Mapping and Localization With Sparse Extended Information Filters: Theory and Initial Results

机译：使用稀疏扩展信息过滤器同时映射和定位：理论和初步结果

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Sebastian Thrun;
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年度 2002
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1. Simultaneous Localization and Mapping With Sparse Extended Information Filters [J] . Sebastian Thrun, Yufeng Liu, Daphne Koller, The International journal of robotics research . 2004,第7a8期

机译：同时使用稀疏扩展信息过滤器进行本地化和映射
2. Simultaneous Localization and Mapping with Iterative Sparse Extended Information Filter for Autonomous Vehicles [J] . Bo He, Diya Dong, Rui Nian, Sensors . 2015,第8期

机译：自主车辆的迭代稀疏扩展信息滤波同时定位与制图
3. An extended Kalman filter-simultaneous localization and mapping method with Harris-scale-invariant feature transform feature recognition and laser mapping for humanoid robot navigation in unknown environment [J] . Wen Shuhuan, Zhang Zhishang, Ma Chunli, International Journal of Advanced Robotic Systems . 2017,第6期

机译：扩展卡尔曼滤波器 - 同时定位和映射方法，具有Harris-Scale-Invariant特征变换功能识别和激光映射，用于人类机器人导航在未知环境中
4. Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results [C] . Sebastian Thrun, Daphne Koller, Zoubin Ghahramani, International Workshop on Algorithmic Foundations of Robotics . 2004

机译：用稀疏扩展信息过滤器同时映射和本地化：理论和初始结果
5. Autonomous robot navigation based on Simultaneous Localization and Mapping (SLAM), and particle filtering. [D] . Monjazeb, Amirhossein. 2008

机译：基于同时定位和映射（SLAM）以及粒子过滤的自主机器人导航。
6. Simultaneous Localization and Mapping with Iterative Sparse Extended Information Filter for Autonomous Vehicles [O] . Bo He, Yang Liu, Diya Dong, 2015

机译：自主车辆的迭代稀疏扩展信息滤波同时定位与制图
7. Simultaneous Localization and Mapping with Iterative Sparse Extended Information Filter for Autonomous Vehicles [O] . Bo He, Yang Liu, Diya Dong, 2015

机译：用于自主车辆的迭代稀疏扩展信息滤波器的同时定位和映射
8. Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results (revised) [R] . Thrun, S. , Koller, D. , Ghahramani, Z. , 2002

机译：使用稀疏扩展信息过滤器同时映射和定位：理论和初始结果（修订版）

Simultaneous Mapping and Localization With Sparse Extended Information Filters: Theory and Initial Results

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