Visual Navigation with Android Tablets

The goal of this project is to develop a visual navigation system for use in vehicles using Android tablets. Current vehicle navigation techniques rely solely on static road maps and noisy global positioning system (GPS) data. This approach is prone to errors where GPS information is not available, such as urban canyons. The project proposes to use a windshield mounted, Android tablet as a sensor platform for augmenting in-vehicle navigation. The project begins by detecting and tracking salient features over time from the color camera images. Combined with the accelerometer and gyroscope data, we can distinguish between static (background) and dynamic (foreground) features in the images. The static features are then used to compute the visual odometry (motion of the vehicle) and produce a 3D model of the environment. This information can then be used to augment the navigation system with local, real-time information and overlays.


    • English


    • Status: Active
    • Sponsor Organizations:

      Research and Innovative Technology Administration

      University Transportation Centers Program
      1200 New Jersey Avenue
      Washington, DC  United States  20590
    • Project Managers:

      Ehrlichman, Courtney

    • Performing Organizations:

      Technologies for Safe and Efficient Transportation University Transportation Center

      Carnegie Mellon University
      Pittsburgh, PA  United States  15213
    • Principal Investigators:

      Daniilidis, Kostas

    • Start Date: 20120100
    • Expected Completion Date: 0
    • Actual Completion Date: 0
    • Source Data: RiP Project 34169

    Subject/Index Terms

    Filing Info

    • Accession Number: 01481197
    • Record Type: Research project
    • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
    • Files: UTC, RiP
    • Created Date: May 11 2013 12:53AM