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- W588556903 abstract "This paper describes hardware and software infrastructure developed for quantitatively characterizing the visual properties of painted white stripes as part of a larger agenda of creating methodologies for characterizing the performance limitations of vision-based lane detection and tracking algorithms. An enclosure mounted on a trailer blocks changes in ambient light and shadow, allowing the painted stripe and surrounding pavement to be uniformly illuminated by lighting inside the enclosure. Images taken by a camera mounted inside the enclosure are segmented to locate the edges of the painted stripe using an intensity histogram based threshold selection algorithm. Visual characteristics of the stripe such as width, average brightness, contrast with the adjacent lane and shoulder, etc. can then be calculated. Scatter plots of data points collected from a 600+ mile sample of Michigan highways are included to illustrate some of the measurements generated, along with a description of how the collected data could be applied to tune thresholds in an image segmentation technique used in the YARF (Yet Another Road Follower) system." @default.
- W588556903 created "2016-06-24" @default.
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- W588556903 date "1996-01-01" @default.
- W588556903 modified "2023-09-23" @default.
- W588556903 title "CHARACTERIZATION OF PAINTED LANE MARKINGS PROPERTIES FOR LANE DETECTION PERFORMANCE EVALUATION" @default.
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