Optical measurement of vehicle body-shapes in the wind-tunnel

Hauke Bruhn

doi:10.1117/12.2294359

1 August 1990 Optical measurement of vehicle body-shapes in the wind-tunnel

Hauke Bruhn

Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 139538 (1990) https://doi.org/10.1117/12.2294359
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland

Abstract

During the development of vehicles body-shapes with the lowest possible air-resistance are the goal of wind-tunnel experimentation. Aerodynamic features are invetigated and body-shapes are geometrically measured in order on the one hand, to document current vehicle geometry, whilst on the other, providing data on body-shape to facilitate numerical streamlining and body-shape optimisation. Photogrammetry has opened up the possibility of rapide and extensive geometrical measurement of vehicles in the wind-tunnel. The basis for this measurement method is a new approach multiple-image-matching which enables analysis on a digital basis. Employing this algorithm a new measure- ment system with great industrial potential is being developed. For the first time in the course of this project high resolution CCD-sensors with up to 7 million pixels per image for photogrammetric on-line-imaging are being used.

Citation Download Citation

Hauke Bruhn "Optical measurement of vehicle body-shapes in the wind-tunnel", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139538 (1 August 1990); https://doi.org/10.1117/12.2294359

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