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 :
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