VISUAL-INERTIAL SENSOR FUSION FOR NAVIGATION, LOCALIZATION, MAPPING, AND 3D RECONSTRUCTION

• 1. 基于可穿戴单目视觉和惯性传感器融合的行人导航方法及系统 [P] . 中国专利： CN110793526A . 2020-02-14
• 2. 二维码以及用于机器人的视觉-惯性组合导航系统及方法 [P] . 中国专利： CN108489486B . 2021.07.02
• 3. VISUAL-INERTIAL SENSOR FUSION FOR NAVIGATION, LOCALIZATION, MAPPING, AND 3D RECONSTRUCTION [P] . 世界知识产权组织专利： WO2016073642A1 . 2016-05-12

  机译： 用于导航，本地化，映射和3D重构的视觉-惯性传感器融合

• 4. VISUAL-INERTIAL SENSOR FUSION FOR NAVIGATION, LOCALIZATION, MAPPING, AND 3D RECONSTRUCTION [P] . 美国专利： US2016140729A1 . 2016-05-19

  机译： 用于导航，本地化，映射和3D重构的视觉-惯性传感器融合

• 5. Robust sensor fusion for mapping and localization in a simultaneous localization and mapping (SLAM) system [P] . 美国专利： US7689321B2 . 2010-03-30

  机译： 用于同时定位和映射（SLAM）系统中的映射和定位的强大传感器融合

• 1. Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors [J] . Ningbo Yu, Shirong Wang 工程（英文） . 2019,第001期
• 2. Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors [J] . Ningbo Yu, Shirong Wang 工程（英文） . 2019,第001期
• 3. Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration [J] . Jonathan Kelly, Gaurav S Sukhatme The International journal of robotics research . 2011,第1期
• 4. Visual-inertial navigation, mapping and localization: A scalable real-time causal approach [J] . Eagle S. Jones, Stefano Soatto The International journal of robotics research . 2011,第4期
• 5. Multi-Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments [J] . Li Qingqing, Jorge Pena Queralta, Tuan Nguyen Gia, Unmanned Systems . 2020,第3期
• 6. Visual-inertial simultaneous localization, mapping and sensor-to-sensor self-calibration [C] . Kelly J., Sukhatme G.S. Computational Intelligence in Robotics and Automation (CIRA), 2009 . 2009
• 7. Visual-Inertial Sensor Fusion Models and Algorithms for Context-Aware Indoor Navigation [D] . Gharani, Pedram. 2019
• 8. 3D Reconstruction of Non-Rigid Plants and Sensor Data Fusion for Agriculture Phenotyping [O] . Gustavo Scalabrini Sampaio, Leandro A. Silva, Maurício Marengoni 2021
• 9. Visual-inertial sensor fusion: Localization, mapping and sensor-to-sensor self-calibration [O] . Jonathan Kelly, Gaurav S. Sukhatme 2011

• 1. An Indoor Pedestrian Localization Algorithm Based on Multi-Sensor Information Fusion [J] . Xiangyu Xu ,Mei Wang ,Liyan Luo . 电脑和通信（英文） . 2017,第3期
• 2. Multi-Sensor Data Fusion Technologies for Blanket Jamming Localization [J] . 王菊 ,吴嗣亮 ,曾涛 . 北京理工大学学报：英文版 . 2005,第1期
• 3. Simultaneous Localization and Mapping Solutions Using Monocular and Stereo Visual Sensors with Baseline Scaling System [J] . Akram Afifi ,Brendan Woo . 导航（英文） . 2019,第4期
• 4. 压缩映射原理在惯性导航系统中的应用 [C] . 王黎斌 ,刘峰 ,尚克军 . 全国第十三届空间及运动体控制技术学术会议 . 2008
• 5. 基于多传感器融合的视觉惯性状态估计器设计 [A] . 刘奕杉 . 2021