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Immediate Pose Recovery Method for Untracked Frames in Feature-Based SLAM.

Hexuan Dou1, Zhenhuan Wang1, Changhong Wang1

  • 1Space Control and Inertial Technology Research Center, School of Astronautics, Harbin Institute of Technology, Harbin 150001, China.

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|February 10, 2024
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Summary
This summary is machine-generated.

This study presents a real-time method to recover lost camera poses in visual SLAM (simultaneous localization and mapping) systems. It enhances tracking accuracy and robustness by reconstructing untracked frames and improving local maps.

Keywords:
computer visionfailure detection and recoverylocalizationunmanned vehiclesvisual SLAM

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Area of Science:

  • Robotics
  • Computer Vision
  • Artificial Intelligence

Background:

  • Feature-based visual SLAM (simultaneous localization and mapping) systems often fail in challenging environments, leading to lost camera poses.
  • Untracked poses disrupt robotic applications and trajectory reconstruction.

Purpose of the Study:

  • To develop an immediate and efficient approach for recovering untracked camera poses in visual SLAM.
  • To enhance the robustness and accuracy of SLAM systems by integrating recovered pose information.

Main Methods:

  • Retrieving key information from previously untracked frames to restore lost poses.
  • Constructing a denser local map around ambiguous frames using reconstructed poses and map points.
  • Implementing the method within a SLAM system and conducting monocular experiments.

Main Results:

  • The proposed method reconstructs untracked frames in near real-time, effectively filling trajectory gaps.
  • Integration of recovered poses and map points significantly improves subsequent tracking accuracy and robustness.
  • Experimental results validate the method's effectiveness on benchmark datasets.

Conclusions:

  • The developed approach offers a practical solution for handling camera pose failures in visual SLAM.
  • This method enhances the overall performance and reliability of robotic navigation systems in challenging conditions.