DocumentCode
145421
Title
Improved registration for vehicular AR using auto-harmonization
Author
Foxlin, Eric ; Calloway, Thomas ; Hongsheng Zhang
fYear
2014
fDate
10-12 Sept. 2014
Firstpage
105
Lastpage
112
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. A system accuracy analysis is presented with simulation results to predict the registration accuracy. Finally, a car test is used to create a through-the-eyepiece video demonstrating well-registered augmentations of the road and nearby structures while driving.
Keywords
augmented reality; helmet mounted displays; image registration; object tracking; video signal processing; AR system design; AR system development; AR system testing; augmented reality; autoharmonization; car test; optical see-through HMD; optical see-through HMDsubsystems; optical-inertial hybrid tracking system; registration accuracy prediction; subsystem calibration; subsystem latency; subsystem precision alignment; subsystem tracking accuracy; through-the-eyepiece video; vehicular AR registration improvement; Accuracy; Aircraft; Calibration; Cameras; Optical imaging; Optical sensors; Vehicles; Augmented reality; calibration; hybrid tracking; inertial; registration; see-through HMD;
fLanguage
English
Publisher
ieee
Conference_Titel
Mixed and Augmented Reality (ISMAR), 2014 IEEE International Symposium on
Conference_Location
Munich
Type
conf
DOI
10.1109/ISMAR.2014.6948415
Filename
6948415
Link To Document