Method and apparatus for identifying road signs

US9697430B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9697430-B2
Application numberUS-201414902246-A
CountryUS
Kind codeB2
Filing dateSep 4, 2014
Priority dateOct 1, 2013
Publication dateJul 4, 2017
Grant dateJul 4, 2017

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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The invention relates to a method and a device for recognizing a road sign (Hz, Zz) by means of a camera from a traveling vehicle. The method has the following steps: acquiring at least one image of the surroundings of a vehicle by means of the camera, determining the presence of at least one road sign (Hz, Zz) in the at least one acquired image of the surroundings of the vehicle, determining (also estimating) motion blur in that image segment in which the present road sign (Hz, Zz) is situated, subtracting out motion blur in this image segment, which results in a sharpened image segment, and recognizing the road sign (Hz, Zz) while taking account of the sharpened image segment.

First claim

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The invention claimed is: 1. A method of recognizing a road sign (Hz, Zz) by a camera from a traveling vehicle, comprising steps: acquiring at least one image of surroundings of the vehicle by the camera, determining that at least one road sign (Hz, Zz) is present in the at least one image of the surroundings of the vehicle, determining a motion blur in the at least one image in an image segment thereof in which the road sign (Hz, Zz) is situated, subtracting out at least some of the motion blur in the image segment, which results in a sharpened image segment, and recognizing the road sign (Hz, Zz) while taking account of the sharpened image segment. 2. The method according to claim 1 , wherein the recognizing of the road sign (Hz, Zz) while taking account of the sharpened image segment comprises performing text recognition in the sharpened image segment. 3. The method according to claim 1 , wherein the determining of the motion blur comprises analyzing data characterizing a motion of the vehicle. 4. The method according to claim 1 , wherein the determining of the motion blur comprises determining and analyzing edges in the image segment in which the road sign (Hz, Zz) is situated. 5. The method according to claim 1 , further comprising recognizing a static content (S) of the road sign (Hz, Zz) and partially recognizing the road sign from the acquired image in consideration of the static content, and wherein the determining of the motion blur in the image segment comprises taking into consideration a predetermined road sign template corresponding to the partially recognized road sign, and further comprising recognizing a variable content (V) of the road sign (Hz, Zz) while taking account of the sharpened image segment. 6. The method according to claim 5 , wherein the static content (S) comprises a shape and an edge of the road sign which is a main road sign (Hz). 7. The method according to claim 5 , wherein the image segment is formed such that the at least one road sign situated in the image segment includes at least one main road sign (Hz) and all of one or more additional signs (Zz) that are associated with the at least one main road sign, wherein an entirety of at least one sign among the at least one main road sign (Hz) is recognized as the static content and a content of the one or more additional signs (Zz) is recognized as the variable content. 8. The method according to claim 1 , wherein the at least one road sign includes plural road signs, further comprising forming a separate said image segment respectively for each individual road sign (Hz or Zz) among the plural road signs included in the image, subsequently performing a check as to whether at least two road signs (Hz, Zz) among the plural road signs are assigned to or associated with each other, and, when the check is affirmative, then the motion blur is determined only for a first said image segment and is then adopted for at least a further one of said image segments assigned thereto. 9. The method according to claim 1 , wherein, if the recognition of the road sign (Hz, Zz) while taking account of the sharpened image segment is not successful or not reliable, then further comprising creating a synthetic highly sharp image segment is created from a plurality of sharpened image segments extracted from successive images acquired by the camera, each of said sharpened image segments including the road sign (Hz, Zz), wherein the road sign (Hz, Zz) is recognized while taking account of the synthetic highly sharp image segment. 10. A device for road sign recognition comprising: a camera configured and arranged on a traveling vehicle to acquire image data including at least one image of surroundings of the traveling vehicle, and an image analysis unit configured and arranged to detect a presence of a road sign (Hz, Zz) from the image data, to determine a motion blur in an image segment in which the road sign (Hz, Zz) is situated, to subtract at least some of the motion blur out of the image segment, which results in a sharpened image segment, to recognize the road sign (Hz, Zz) while taking account of the sharpened image segment, and to generate a corresponding output signal.

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What does patent US9697430B2 cover?
The invention relates to a method and a device for recognizing a road sign (Hz, Zz) by means of a camera from a traveling vehicle. The method has the following steps: acquiring at least one image of the surroundings of a vehicle by means of the camera, determining the presence of at least one road sign (Hz, Zz) in the at least one acquired image of the surroundings of the vehicle, …
Who is the assignee on this patent?
Conti Temic Microelectric Gmbh, Conti Temic Microelectronic Gmbh
What technology area does this patent fall under?
Primary CPC classification G06K9/00818. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 04 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).