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Design and Error Analysis of a Vehicular AR System with Auto-Harmonization.

Authors :
Foxlin, Eric
Calloway, Thomas
Zhang, Hongsheng
Source :
IEEE Transactions on Visualization & Computer Graphics; Dec2015, Vol. 21 Issue 12, p1323-1335, 13p
Publication Year :
2015

Abstract

This paper describes the design, development and testing of an AR system that was developed for aerospace and ground vehicles to meet stringent accuracy and robustness requirements. The system uses an optical see-through HMD, and thus requires extremely low latency, high tracking accuracy and precision alignment and calibration of all subsystems in order to avoid mis-registration and “swim”. The paper focuses on the optical/inertial hybrid tracking system and describes novel solutions to the challenges with the optics, algorithms, synchronization, and alignment with the vehicle and HMD systems. Tracker accuracy is presented with simulation results to predict the registration accuracy. A car test is used to create a through-the-eyepiece video demonstrating well-registered augmentations of the road and nearby structures while driving. Finally, a detailed covariance analysis of AR registration error is derived. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10772626
Volume :
21
Issue :
12
Database :
Complementary Index
Journal :
IEEE Transactions on Visualization & Computer Graphics
Publication Type :
Academic Journal
Accession number :
110690004
Full Text :
https://doi.org/10.1109/TVCG.2015.2481385