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This study introduces a novel approach combining simultaneous localization and mapping (SLAM) with global localization for real-time 6DoF tracking on mobile devices. This method enhances accuracy and overcomes limitations of narrow field-of-view cameras.

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Area of Science:

  • Computer Vision
  • Robotics
  • Mobile Computing

Background:

  • Simultaneous Localization and Mapping (SLAM) systems typically operate locally, leading to drift and limited global context.
  • Mobile devices face challenges in accurate 6DoF pose estimation due to computational constraints and narrow camera fields of view.
  • Existing global localization methods often require extensive pre-mapping or are computationally intensive for real-time mobile application.

Purpose of the Study:

  • To develop a robust 6DoF tracking and mapping system for mobile devices.
  • To integrate local SLAM with global localization for accurate, drift-free pose estimation.
  • To overcome the limitations of mobile camera FOV and enable tracking beyond pre-mapped areas.

Main Methods:

  • A keyframe-based monocular SLAM system runs on a mobile client for relative pose estimation and keyframe capture.
  • A server process performs global localization of keyframes using a pre-existing, globally-registered map.
  • Global registration corrections are sent to the client, and global anchor points refine client-side bundle adjustment, limiting drift.

Main Results:

  • Achieved real-time, globally registered 6DoF tracking and mapping on a mobile device.
  • Successfully addressed localization challenges posed by narrow field-of-view mobile phone cameras.
  • Enabled continuous tracking and mapping in areas not covered by the initial offline reconstruction.

Conclusions:

  • The proposed hybrid SLAM and global localization approach provides accurate and drift-free 6DoF tracking on mobile platforms.
  • This system enhances the usability of mobile devices for augmented reality, robotics, and navigation applications.
  • The method demonstrates a significant advancement in real-time mobile mapping and localization capabilities.