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Project

#212 Visual Navigation with Android Tablets


Principal Investigator
Kostas Daniilidis
Status
Completed
Start Date
Jan. 1, 2012
End Date
June 30, 2015
Research Type
Advanced
Grant Type
Research
Grant Program
MAP-21 TSET National (2013 - 2018)
Grant Cycle
TSET - University of Pennsylvania
Visibility
Public

Abstract

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.    
Description
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Timeline
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Deployment Plan
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Expected Accomplishments and Metrics
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Individuals Involved

Email Name Affiliation Role Position
kostas@cis.upenn.edu Daniilidis, Kostas University of Pennsylvania PI Faculty - Tenured

Budget

Amount of UTC Funds Awarded
$109000.00
Total Project Budget (from all funding sources)
$

Documents

Type Name Uploaded
Final Report 212.pdf July 27, 2018, 11:06 a.m.

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