Paper
1 February 1994 Correction of shadow artifacts for vision-based vehicle guidance
Surender K. Kenue
Author Affiliations +
Proceedings Volume 2058, Mobile Robots VIII; (1994) https://doi.org/10.1117/12.167495
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Surender K. Kenue "Correction of shadow artifacts for vision-based vehicle guidance", Proc. SPIE 2058, Mobile Robots VIII, (1 February 1994); https://doi.org/10.1117/12.167495
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Cited by 6 scholarly publications.
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KEYWORDS
Roads

Detection and tracking algorithms

Mobile robots

Algorithm development

Image segmentation

Computing systems

Image processing

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