z-logo
open-access-imgOpen Access
Design and Error Analysis of a Vehicular AR System with Auto-Harmonization
Author(s) -
Eric Foxlin,
Thomas Calloway,
Hongsheng Zhang
Publication year - 2015
Publication title -
ieee transactions on visualization and computer graphics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 144
eISSN - 1941-0506
pISSN - 1077-2626
DOI - 10.1109/tvcg.2015.2481385
Subject(s) - computing and processing , bioengineering , signal processing and analysis
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom