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Proceedings Paper

Correction of shadow artifacts for vision-based vehicle guidance
Author(s): Surender K. Kenue
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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); doi: 10.1117/12.167495
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)

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