Improved Registration for Vehicular AR using Auto-Harmonization
SCHEDULE INFORMATION
Event Title
Session Title
Chair
Room
Start
End
Reconstruction and Fusion
Reconstruction and Fusion
Walterio Mayol-Cuevas, Bristol University
HS1
11 Sep, 2014 10:00 AM
11 Sep, 2014 12:45 PM
Authors:
Eric Foxlin
Authors:
Thomas Calloway
Authors:
Hongsheng Zhang
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.