Vehicle and lane mark recognizes

Image analysis – Applications – Vehicle or traffic control

Reexamination Certificate

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Details

C382S105000, C382S106000, C382S119000, C340S435000, C348S113000, C700S023000

Reexamination Certificate

active

07933434

ABSTRACT:
A vehicle capable of preventing detection of stud-type lane marks from being impossible and a vehicle having a lane mark recognizer are provided. The vehicle includes installation interval recognizing means (21) which recognizes an interval (L) between Botts Dots, vehicle speed recognizing means (22) which recognizes a traveling speed (v) of the vehicle, image synthesizing means (13) which generates synthesized image data (M3) by combining image data (M1) stored in an image memory (11) through an image input circuit (10) and image data (M2) stored in an image memory (12) through the same, imaging timing determining means (20) which determines the timing of imaging by a camera (2) on the basis of the interval (L) and the traveling speed (v) when acquiring the image data (M1, M2) in such a way that the positions of the Botts Dots in the image data (M1, M2) are different therebetween, and Botts Dots detecting means (14) which detects the Botts Dots from the synthesized image data (M3).

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ThreeFeatures based automatic lane detection algorithm(TFALDA) for autonomous driving; Young et al Dec. 2003.
Toward Autonomous Driving:The CMU Navlab p. 31-42; Thorpe et al , Aug. 1991.

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