"双目视觉SLAM与IMU信息融合研究"

The research on binocular vision SLAM with IMU information fusion is a significant topic in the field of control science and engineering. This study aims to integrate inertial measurement unit (IMU) data with visual SLAM (simultaneous localization and mapping) technology to improve the accuracy and robustness of navigation and mapping for various applications such as robotics, autonomous vehicles, and augmented reality systems. Chapter 1 of the thesis provides an introduction to the background and significance of the research topic. It discusses the growing demand for precise and reliable navigation and mapping systems in the context of emerging technologies and applications. The integration of IMU data with visual SLAM is deemed crucial to meeting these requirements and improving the overall performance of navigation and mapping systems. Chapter 2 reviews the current state of research on visual SLAM and IMU information fusion, both domestically and internationally. This section provides an overview of the advancements and challenges in each field, highlighting the need for a comprehensive approach that leverages the strengths of both technologies. The thesis, authored by Xu Kuan and supervised by Professor Liu Zhiyuan from Harbin Institute of Technology, was completed in June 2018. It includes a detailed investigation into the fusion of IMU information with binocular visual SLAM, providing valuable insights and contributions to the research community. Overall, the study addresses an important and timely topic, offering valuable insights and potential solutions to the challenges associated with navigation and mapping in various technological applications. The integration of IMU data with visual SLAM has the potential to significantly improve the accuracy, robustness, and efficiency of navigation and mapping systems, contributing to the advancement of key industries and technologies.