Title :
Design and Error Analysis of a Vehicular AR System with Auto-Harmonization
Author :
Foxlin, Eric ; Calloway, Thomas ; Hongsheng Zhang
Author_Institution :
Thales Visionix, Inc., IL, USA
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.
Keywords :
aircraft; augmented reality; automobiles; covariance analysis; error analysis; helmet mounted displays; image registration; optical tracking; traffic engineering computing; AR registration error; aerospace vehicles; aircraft; augmented reality; auto-harmonization; car; covariance analysis; error analysis; ground vehicles; optical see-through HMD; optical-inertial hybrid tracking system; through-the-eyepiece video; vehicular AR system; Adaptive optics; Aerospace electronics; Augmented reality; Calibration; Cameras; Optical sensors; Virtual reality; Augmented reality; Inertial, augmented reality, calibration, registration, hybrid tracking, see through HMD, image processing, sensor fusion; calibration; hybrid tracking; inertial; registration; see-through HMD;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2015.2481385