Mirror world navigation for mobile users based on augmented reality

ABSTRACT

Finding a destination in unfamiliar environments of complex office building or shopping mall has been always bothering us in daily life. Fine-scale directional guidance, a combination of location based service and context aware service, is emerging along with the technology developments of mobile computing, wireless communication, and augmented reality. This paper addresses the core problem of how to align what we see with where we are. In order to achieve robust and accurate navigation by 2D/3D alignment, we developed a hybrid solution by fusing GPS, inertial measurement units and computer vision methods together. We have implemented a prototype of Mobile Augmented Reality and 3D navigation on the manually created virtual environment of Intel China Research Center office and surroundings.

REFERENCES

• 1: ARToolKit "http://www.hitl.washington.edu/artoolkit/
• 2: V. Lepetit. Monocular model-based 3d tracking of rigid objects: A survey. Foundations and Trends in Computer Graphics and Vision, 1(1):1--89, 2005.
• 3: MotionNode. http://www.motionnode.com/.
• 4: A. Zakhor. Automatic 3d modeling of cities with multimodal air and ground sensors. Multimodal Surveillance, Sensors, Algorithms and Systems, 15:339--362, 2007.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.9 Applications

Additional Classification:
  H. Information Systems
  H.4 INFORMATION SYSTEMS APPLICATIONS
      H.4.m Miscellaneous

General Terms:
Algorithms, Design, Human Factors, Performance

Keywords:
GPS, INS, camera pose estimation, mirror world navigation, mobile augmented reality, parallel tracking and mapping