A low-complexity yet accurate calibration method for automotive augmented reality head-up displays

Xiang Gao; Marc Necker; Wilhelm Stork

doi:10.1117/12.2586925

4 January 2021 A low-complexity yet accurate calibration method for automotive augmented reality head-up displays

Xiang Gao, Marc Necker, Wilhelm Stork

Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 116050B (2021) https://doi.org/10.1117/12.2586925
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy

Abstract

Automotive augmented reality head-up displays (AR-HUDs) superimpose driving related information with the real world in the direct sight of the driver. A key prerequisite for an immersive AR experience is a highly precise calibration. State-of-the-art methods require large targets and a lot of space in front of the vehicle, or special complex equipment, which is inconvenient in both factories and workshops. In this paper, we propose a low-complexity yet accurate calibration method using only a small sheet of patterned paper as the target, which is laid directly on the windscreen. The full field of view (FOV) can be calibrated, with the optical distortion corrected by extracted warping maps. The changing views of drivers are considered by interpolating both projection parameters and distortion models. The angular reprojection error falls within 0.04°, while the run-time is limited up to 1 minute per viewpoint. Our method shows high applicability in the automotive industry because of both reduced target complexity and competitive reprojection errors. Moreover, due to the reduced effort and simplified equipment, our method opens a way for customers to recalibrate their AR-HUDs themselves.

Citation Download Citation

Xiang Gao, Marc Necker, and Wilhelm Stork "A low-complexity yet accurate calibration method for automotive augmented reality head-up displays", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 116050B (4 January 2021); https://doi.org/10.1117/12.2586925

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available