JP2013122739A5 - - Google Patents

Download PDF

Info

Publication number
JP2013122739A5
JP2013122739A5 JP2011271761A JP2011271761A JP2013122739A5 JP 2013122739 A5 JP2013122739 A5 JP 2013122739A5 JP 2011271761 A JP2011271761 A JP 2011271761A JP 2011271761 A JP2011271761 A JP 2011271761A JP 2013122739 A5 JP2013122739 A5 JP 2013122739A5
Authority
JP
Japan
Prior art keywords
image
pedestrian crossing
unit
white line
line portion
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP2011271761A
Other languages
Japanese (ja)
Other versions
JP2013122739A (en
Filing date
Publication date
Application filed filed Critical
Priority to JP2011271761A priority Critical patent/JP2013122739A/en
Priority claimed from JP2011271761A external-priority patent/JP2013122739A/en
Publication of JP2013122739A publication Critical patent/JP2013122739A/en
Publication of JP2013122739A5 publication Critical patent/JP2013122739A5/ja
Pending legal-status Critical Current

Links

Claims (8)

解析対象の画像を取得する取得部と、
前記取得部により取得された画像に対して適用位置を変えつつ横断歩道の白線の劣化に応じた判定条件を定めた判定パターンを適用した際の合致割合を算出する算出部と、
前記算出部により算出された合致割合に基づき、横断歩道を検出する検出部と、
を有し、
前記算出部は、横断歩道に対応して白線部分および白線の間部分が複数画素ずつ交互に存在すると共に、少なくとも一部の白線部分の隣り合う複数の画素の何れかが所定輝度以上であることを判定条件とする判定パターンとの合致割合を算出する
ことを特徴とする解析装置。
An acquisition unit for acquiring an image to be analyzed;
A calculation unit that calculates a match ratio when applying a determination pattern that determines a determination condition according to deterioration of a white line of a pedestrian crossing while changing an application position with respect to the image acquired by the acquisition unit;
A detection unit for detecting a pedestrian crossing based on the match ratio calculated by the calculation unit;
I have a,
The calculating unit includes a white line portion and a portion between white lines alternately corresponding to the pedestrian crossing, and at least one of a plurality of adjacent pixels of the white line portion has a predetermined luminance or more. the you and calculates the matching ratio of the determined pattern to determine the condition analysis apparatus.
前記算出部は、横断歩道に対応して白線部分および白線の間部分が交互に存在すると共に、一部の白線部分の存在の判定が不要であることを判定条件とする判定パターンとの合致割合を算出する
ことを特徴とする請求項1に記載の解析装置。
The calculation unit is configured so that a white line portion and a portion between white lines exist alternately corresponding to a pedestrian crossing, and a matching ratio with a determination pattern having a determination condition that determination of the presence of some white line portions is unnecessary The analysis device according to claim 1, wherein:
前記取得部により取得された画像を縮小する縮小部をさらに有し、
前記算出部は、前記縮小部により縮小された画像に対して位置を変えつつ前記判定パターンとの合致割合を算出する
ことを特徴とする請求項1または2に記載の解析装置。
A reduction unit that reduces the image acquired by the acquisition unit;
The calculating unit, the analysis apparatus according to claim 1 or 2, characterized in that calculating a matching ratio between the determination patterns while changing the position on the reduced image by the reduction unit.
前記取得部は、車載カメラにより撮影された画像を取得し、
前記取得部により取得された画像を俯瞰画像に変換する変換部と、
前記変換部により変換された俯瞰画像において、前記車載カメラにより撮影された画像から像が投影されない領域、および前記俯瞰画像において、車内が写った領域の少なくとも一方を特定する特定部と、をさらに有し、
前記算出部は、前記俯瞰画像に対して前記特定部により特定された領域を除外して前記合致割合を算出する
ことを特徴とする請求項1〜の何れか1つに記載の解析装置。
The acquisition unit acquires an image taken by a vehicle-mounted camera,
A conversion unit that converts the image acquired by the acquisition unit into an overhead image;
The bird's-eye view image converted by the conversion unit further includes a region where an image is not projected from the image taken by the vehicle-mounted camera, and a specifying unit that identifies at least one of the region where the interior of the vehicle is seen in the bird's-eye view image. And
The calculating unit, the analysis apparatus according to any one of claims 1-3, characterized in that to calculate the matching rate by excluding the identified area by the specifying unit with respect to the overhead view image.
前記算出部により算出された合致割合に基づき、画像内での横断歩道の位置を推定する推定部をさらに有する
ことを特徴とする請求項1〜の何れか1つに記載の解析装置。
Based on the matching ratio calculated by the calculation unit, the analysis apparatus according to any one of claims 1-4, characterized in that it further comprises an estimator for estimating the position of the pedestrian crossing in the image.
前記取得部は、車載カメラにより連続的に撮影された画像および前記車載カメラが搭載された車両の速度データを取得し、
前記検出部は、横断歩道が検出された画像から横断歩道までの距離を検出し、
前記検出部により検出された横断歩道までの距離および前記取得部により取得された速度データに基づき、前記連続的に撮影された画像から、横断歩道との距離が所定範囲となる画像を判別する判別部をさらに有する
ことを特徴とする請求項1〜の何れか1つに記載の解析装置。
The acquisition unit acquires the images continuously captured by the in-vehicle camera and the speed data of the vehicle in which the in-vehicle camera is mounted,
The detection unit detects a distance from an image in which a pedestrian crossing is detected to a pedestrian crossing,
Discrimination for discriminating an image in which the distance from the pedestrian crossing is within a predetermined range from the continuously photographed images based on the distance to the pedestrian crossing detected by the detection unit and the speed data acquired by the acquisition unit The analyzer according to any one of claims 1 to 5 , further comprising a section.
コンピュータに、
横断歩道に対応して白線部分および白線の間部分が複数画素ずつ交互に存在すると共に、少なくとも一部の白線部分の隣り合う複数の画素の何れかが所定輝度以上であることを判定条件とする判定パターンを解析対象の画像に対して位置を変えつつ適用した際の合致割合を算出し、
算出された合致割合に基づき、横断歩道を検出する
処理を実行させることを特徴とする解析プログラム。
On the computer,
The determination condition is that a white line portion and a portion between white lines alternately exist corresponding to the pedestrian crossing, and that at least some of the adjacent pixels of the white line portion have a predetermined luminance or higher. Calculate the match ratio when applying the judgment pattern to the image to be analyzed while changing the position,
An analysis program characterized by executing a process for detecting a pedestrian crossing based on the calculated match rate.
コンピュータが、
横断歩道に対応して白線部分および白線の間部分が複数画素ずつ交互に存在すると共に、少なくとも一部の白線部分の隣り合う複数の画素の何れかが所定輝度以上であることを判定条件とする判定パターンを解析対象の画像に対して位置を変えつつ適用した際の合致割合を算出し、
算出された合致割合に基づき、横断歩道を検出する
処理を実行することを特徴とする解析方法。
Computer
The determination condition is that a white line portion and a portion between white lines alternately exist corresponding to the pedestrian crossing, and that at least some of the adjacent pixels of the white line portion have a predetermined luminance or higher. Calculate the match ratio when applying the judgment pattern to the image to be analyzed while changing the position,
An analysis method characterized by executing a process of detecting a pedestrian crossing based on the calculated match rate.
JP2011271761A 2011-12-12 2011-12-12 Analysis device, analysis program and analysis method Pending JP2013122739A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2011271761A JP2013122739A (en) 2011-12-12 2011-12-12 Analysis device, analysis program and analysis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2011271761A JP2013122739A (en) 2011-12-12 2011-12-12 Analysis device, analysis program and analysis method

Publications (2)

Publication Number Publication Date
JP2013122739A JP2013122739A (en) 2013-06-20
JP2013122739A5 true JP2013122739A5 (en) 2014-10-02

Family

ID=48774652

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2011271761A Pending JP2013122739A (en) 2011-12-12 2011-12-12 Analysis device, analysis program and analysis method

Country Status (1)

Country Link
JP (1) JP2013122739A (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6476945B2 (en) * 2015-02-09 2019-03-06 サクサ株式会社 Image processing device
JP6203208B2 (en) * 2015-02-18 2017-09-27 株式会社東芝 Road structure management system and road structure management method
JP6408434B2 (en) * 2015-07-14 2018-10-17 株式会社キクテック Road marking body deterioration detection method
JP6971177B2 (en) * 2018-03-09 2021-11-24 フォルシアクラリオン・エレクトロニクス株式会社 Compartment line recognition device
JP7169925B2 (en) * 2019-03-28 2022-11-11 日産自動車株式会社 Driving lane recommendation method, driving lane recommendation device, driving control method, and driving control device
WO2022118422A1 (en) * 2020-12-03 2022-06-09 日本電気株式会社 Line position estimation device, method, and program

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3088010B2 (en) * 1990-05-25 2000-09-18 株式会社リコー Line drawing separation method and apparatus
JP3146807B2 (en) * 1993-11-15 2001-03-19 トヨタ自動車株式会社 Road white line detector
JPH09128521A (en) * 1995-11-01 1997-05-16 Mitsubishi Heavy Ind Ltd Device for recognizing white line on road surface
JP4211681B2 (en) * 2004-05-20 2009-01-21 トヨタ自動車株式会社 Travel path recognition device
JP4568637B2 (en) * 2005-04-26 2010-10-27 富士重工業株式会社 Road recognition device
JP2009259215A (en) * 2008-03-18 2009-11-05 Zenrin Co Ltd Road surface marking map generation method
JP5004865B2 (en) * 2008-05-08 2012-08-22 日立オートモティブシステムズ株式会社 Obstacle detection device for automobile
JP5157692B2 (en) * 2008-07-08 2013-03-06 日産自動車株式会社 Moving body detection apparatus and moving body detection method
JP5067358B2 (en) * 2008-12-22 2012-11-07 株式会社デンソー Traveling lane detection device and traveling lane detection program
JP2010256995A (en) * 2009-04-21 2010-11-11 Daihatsu Motor Co Ltd Object recognition apparatus

Similar Documents

Publication Publication Date Title
JP4992990B2 (en) Lane marking detector
JP5966965B2 (en) Lane boundary departure control device and lane boundary departure suppression method
JP2013122739A5 (en)
JP2014106703A5 (en)
EP3306591A3 (en) Parking assistance apparatus, vehicle having the same, method of providing automatic parking function
JP2007213561A5 (en)
EP2958054A3 (en) Hazard detection in a scene with moving shadows
JP2014197378A5 (en)
JP2013196341A5 (en)
EP2570963A3 (en) Systems, devices, and methods for recognizing objects as perceived from a vehicle
JP2010056692A5 (en)
WO2014190050A3 (en) Method and system for obstacle detection for vehicles using planar sensor data
CN107451539B (en) Lane departure early warning method and system
MY179728A (en) Three-dimensional object detection device
WO2008084592A1 (en) Lane recognition device, vehicle, lane recognition method, and lane recognition program
JP2016166853A5 (en)
JP2013109455A5 (en)
JP2013241065A5 (en)
JP2015179482A5 (en)
JP2015133078A5 (en)
JP2017138660A5 (en)
JP2014238727A5 (en)
JP2013235436A5 (en)
JP2007264717A5 (en)
JP5215236B2 (en) Lane boundary line type estimation device and lane boundary line type estimation method