2019 Chinese Automation Congress (CAC) 2019
DOI: 10.1109/cac48633.2019.8997502
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Gradient-direction-based Rectangles and Triangles Traffic Signs Detection Algorithm in Natural Scenes

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Cited by 2 publications
(2 citation statements)
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“…Therefore, such new pseudo-hexagons can be iteratively broadcast through the network, either upon reaching an initial established tolerance value or during a certain period. The authors of [68] demonstrated that the mere substitution of the geometric figure for representing the sensor coverage area reduces the location error by approximately 12%, with respect to the use of rectangles.…”
Section: ) Hexagonal Intersectionmentioning
confidence: 99%
“…Therefore, such new pseudo-hexagons can be iteratively broadcast through the network, either upon reaching an initial established tolerance value or during a certain period. The authors of [68] demonstrated that the mere substitution of the geometric figure for representing the sensor coverage area reduces the location error by approximately 12%, with respect to the use of rectangles.…”
Section: ) Hexagonal Intersectionmentioning
confidence: 99%
“…Most methods detect rectangles based on line analysis. Research used the Hough transform [21] or edge detection with gradient [22] to extract straight lines, and then find out shapes which satisfy artificial geometric conditions, such as that two pairs of opposite sides are parallel, to recognize rectangles. But the contours of components are not always perfect due to smudges or fading on scanned papers, complicating detection on sides of a CC.…”
Section: B Desirable Region Detection On Exam Papersmentioning
confidence: 99%