Share Email Print

Proceedings Paper

Correction of shadow artifacts for vision-based vehicle guidance
Author(s): Surender K. Kenue
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

For vision-based detection of lane boundaries, current computer vision algorithms for lane detection do not work well in regions of deep shadow. A pre-processing algorithm for detection and correction of shadow and low-sun angle artifacts was developed and successfully used to estimate lane boundaries on more than 6000 real highway images.

Paper Details

Date Published: 1 February 1994
PDF: 15 pages
Proc. SPIE 2058, Mobile Robots VIII, (1 February 1994);
Show Author Affiliations
Surender K. Kenue, General Motors NAO Research and Development Ctr. (United States)

Published in SPIE Proceedings Vol. 2058:
Mobile Robots VIII
William J. Wolfe; Wendell H. Chun, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?