JP2018178549A - Method for diagnosing road compartment line - Google Patents
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- 238000000034 method Methods 0.000 title claims description 24
- 230000006870 function Effects 0.000 claims abstract description 11
- 238000003745 diagnosis Methods 0.000 claims abstract description 7
- 238000000605 extraction Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 12
- 238000004040 coloring Methods 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 4
- 239000003086 colorant Substances 0.000 claims description 2
- 238000002405 diagnostic procedure Methods 0.000 claims 4
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- 238000010586 diagram Methods 0.000 description 3
- 238000011835 investigation Methods 0.000 description 3
- 239000003973 paint Substances 0.000 description 3
- 230000006866 deterioration Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
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Abstract
Description
本発明は、道路に施工された区画線の摩耗状態を診断する道路区画線診断方法に関するものである。 The present invention relates to a road division line diagnosis method for diagnosing the wear state of a division line constructed on a road.
道路上には、横断歩道を示す白線や、各種の文字記号などの道路標示体及び走行車線などを示す区画線が溶融型塗料やペンキなどの塗膜で描かれている。
この中、路面に施工された横断歩道などの道路標示体については、道路標示体を撮影し、座標情報と道路標示体の画像から、コンピュータソフトを用いて道路標示体の劣化を判別する方法が従来知られている（例えば特許文献１参照）。
一方、道路の車線に沿ってペイント等で施工された区画線の劣化の調査は、図５に示す手順で行っている。
まず、車両に運転手と撮影者２名が乗車する（ステップ１）。次に、調査路線を走行し、薄くなった区画線を目視で見つけ、地図に位置を記入する（ステップ２）。次に、車両を一時停止し、区画線の近くから写真や動画を撮影する（区画線の薄い部分を延長部分とし、この延長部分を実測することもある）（ステップ３）。次に、社内で写真と地図を見ながら平面図に区画線の薄い部分を着色して延長部分とし、着色した延長部分の長さを測る（ステップ４）。次に、写真を平面図に貼り付け、わかりやすい資料を作成し、道路管理者に報告する（ステップ５）。作業日数は、延長５０ｋｍの道路で、２人で５日程度をかけているのが現状である。
On the road, white lines indicating pedestrian crossings, road markings such as various character symbols, and division lines indicating traveling lanes, etc. are drawn with a coating such as melt paint or paint.
Among them, for road marking objects such as pedestrian crossings constructed on the road surface, there is a method of photographing a road marking object and judging deterioration of the road marking object using computer software from the coordinate information and the image of the road marking object. Conventionally known (see, for example, Patent Document 1).
On the other hand, the investigation of the deterioration of the demarcation line constructed by paint etc. along the lane of the road is carried out by the procedure shown in FIG.
First, a driver and two photographers get on the vehicle (step 1). Next, travel along the survey route, visually detect the thinned dividing line, and enter the position on the map (step 2). Next, the vehicle is paused, and a picture or a moving image is taken from near the dividing line (a thin portion of the dividing line may be an extension, and this extension may be measured) (step 3). Next, while looking at the photograph and map in the office, the thin part of the dividing line is colored in the plan view to make it an extension part, and the length of the colored extension part is measured (step 4). Next, a photograph is pasted on a plan view, an easy-to-understand material is created, and it reports to a road manager (step 5). The working days are currently 50km long and two people spend five days.
道路の区画線は、車線の全長に施工されるため、全長がきわめて長く、薄くなった区画線を目視で見つけ、地図にその位置を記入し、車両を一時停止させて、写真を撮る作業が容易でなく、人手と時間と手間がかかるという問題点があった。
本発明は、ＡＩ（人工知能）を用いた区画線診断用のアプリケーションをインストールしたスマートフォンとパソコンを使用して上記問題点を解決することを目的とする。
Since the road lane lines are constructed along the entire length of the lane, visually check the thinned lane lines that are extremely long in length, mark the position on the map, pause the vehicle, and take a picture. There is a problem that it is not easy and takes time, labor and time.
An object of the present invention is to solve the above problems using a smartphone and a personal computer installed with an application for dividing line diagnosis using AI (artificial intelligence).
上記目的を達成するため、本発明は、カメラとＧＰＳを備えたスマートフォンのコンピュータを、
一定間隔自動撮影手段、
カメラからの撮影データを受信する撮影データ受信手段、
ＧＰＳからの位置データを受信する位置データ受信手段、
画像データに位置データを付加する緯度経度データ付加手段、
画像データをメモリに記録するメモリ手段
として機能させ、スマートフォンを車両に装着して道路上を走行し、スマートフォンにより区画線を一定間隔で撮影し、区画線の画像データを作成する画像データ作成プロセスと、
コンピュータを、
画像データ受信手段、
画像データの中から調査の対象とする区画線を判別し抽出するための区画線判別抽出手段、
画像データから抽出した区画線の摩耗度を測定する区画線摩耗度測定手段、
摩耗度測定結果に応じて区画線の摩耗の状態を複数の段階に分けて評価する区画線摩耗度評価手段、
地図上の車線部分に区画線の摩耗の情況別に着色し表示する摩耗度地図着色表示手段
として機能させ、前記画像データ作成プロセスで作成した画像データをコンピュータに取り込み、該画像データから区画線の摩耗度を測定し、該測定データに基づいて区画線の摩耗度の状況を色で示した地図データを作成するようにした画像データ処理プロセスとから成ることを特徴とする。
また本発明は、前記画像データ処理プロセスは、前記コンピュータを摩耗度データ表形式作成表示手段として機能させ、前記区画線の摩耗状況を示す表を作成し表示する摩耗度データ表形式作成表示プロセスを含むことを特徴とする。
また本発明は、前記画像データ作成プロセスは、スマートフォンのコンピュータを、無線シャッター信号受信手段として機能させ、重要地点の画像データにタグを付加する処理を含むことを特徴とする。
また本発明は、前記画像データ処理プロセスは、コンピュータを、画像データ中の区画線を抽出する処理を支援する区画線抽出支援データを受信するための区画線抽出支援データ受信手段として機能させ、前記画像データごとに、区画線抽出処理を支援する区画線抽出支援データを付加する処理を含むとことを特徴とする。
また本発明は、前記区画線抽出支援データは、車線数、走行車線の有無、区画線の有無を示すデータであることを特徴とするものである。
In order to achieve the above object, the present invention provides a smartphone computer equipped with a camera and GPS,
Fixed interval automatic shooting means,
Shooting data receiving means for receiving shooting data from a camera,
Position data receiving means for receiving position data from GPS,
Latitude and longitude data addition means for adding position data to image data,
An image data creation process of functioning as a memory means for recording image data in a memory, mounting a smartphone on a vehicle and traveling on a road, photographing the division lines at predetermined intervals by the smartphone, and generating image data of the division lines ,
Computer,
Image data receiving means,
Parcel line discrimination and extraction means for discriminating and extracting a parcel line to be investigated from among image data;
Section line wear degree measuring means for measuring the degree of wear of section lines extracted from image data,
Means for evaluating the degree of wear of dividing line according to the result of measurement of degree of wear, by evaluating the state of wear of dividing line in a plurality of stages,
It functions as a wear degree map coloring display means that colors and displays the lane lines on the map according to the wear condition of the division lines, and the image data created in the image data creation process is taken into a computer and the division lines wear out from the image data. The image data processing process is characterized in that the degree is measured, and map data in which the situation of the degree of wear of the dividing line is indicated by color is created based on the measured data.
Further, according to the present invention, the image data processing process causes the computer to function as wear level data table format creation display means, and creates a wear level data table format creation display process that creates and displays a table indicating the wear status of the division lines. It is characterized by including.
Further, the present invention is characterized in that the image data creating process includes a process of causing a computer of a smartphone to function as a wireless shutter signal receiving means and adding a tag to image data of an important point.
Further, according to the present invention, the image data processing process causes the computer to function as division line extraction support data receiving means for receiving division line extraction support data for supporting processing of extracting the division lines in the image data. The image processing apparatus is characterized in that processing for adding division line extraction support data for supporting the division line extraction processing is included for each image data.
Further, the present invention is characterized in that the lane line extraction support data is data indicating the number of lanes, the presence or absence of a traveling lane, and the presence or absence of a lane line.
本発明は、長距離にわたって描かれた区画線の画像データの作成作業を迅速且つ容易に行うことができる。また、区画線の摩耗の状態を色で示した地図データを作成するようにしたので、区画線の摩耗度の状態をわかりやすく表現するきわめて有益なデータを提供できる。 The present invention can quickly and easily create image data of demarcated lines drawn over a long distance. In addition, since map data in which the state of wear of the dividing lines is indicated by color is created, it is possible to provide extremely useful data that expresses the state of wear of the dividing lines in an easy-to-understand manner.
以下に本発明の構成を添付した図面を参照して詳細に説明する。
図１は、道路区画線診断作業のフローチャートと説明図を示している。図１の図は、カメラとＧＰＳ（全地球測位システム）を内蔵したスマートフォン２を車両４に装着した状態を示している。スマートフォン２は、吸盤を備えたホルダーに保持され、車両４の前面窓ガラスに対向して、車両４の台に取り付けられる。スマートフォン２には、道路の区画線を撮影するためのアプリケーションソフトが内蔵されている。
Hereinafter, the configuration of the present invention will be described in detail with reference to the attached drawings.
FIG. 1 shows a flowchart and an explanatory view of a road division line diagnosis operation. The diagram of FIG. 1 shows a state in which a smartphone 2 incorporating a camera and a GPS (Global Positioning System) is mounted on a vehicle 4. The smartphone 2 is held by a holder provided with a suction cup and attached to a stand of the vehicle 4 so as to face the front window glass of the vehicle 4. The smartphone 2 has built-in application software for photographing road lanes.
図４において、アプリケーションソフトは、スマートフォン２のコンピュータを、スマートフォンからの操作信号を受信するための操作信号受信手段６、カメラからの撮影データを受信する撮影データ受信手段８、ＧＰＳからの位置データを受信する位置データ受信手段１０、無線シャッター（図示省略）からの信号を受信する無線シャッター信号受信手段１２、一定間隔（本実施形態では２０ｍ）で写真を自動撮影するための一定間隔自動撮影手段１４、撮影データに位置情報を付加するための緯度経度データ付加手段１６、無線シャッターからの信号に基づいて撮影データにフラグを付与するフラグ付与手段１８、データをＳＤメモリに記録するメモリ手段２０、上記各手段を制御するための制御手段２２として機能させるように構成されている。 In FIG. 4, the application software includes the computer of the smartphone 2, the operation signal receiving means 6 for receiving the operation signal from the smartphone, the imaging data receiving means 8 for receiving the imaging data from the camera, and the position data from the GPS. Position data receiving means 10 for receiving, wireless shutter signal receiving means 12 for receiving a signal from a wireless shutter (not shown), and fixed interval automatic capturing means 14 for automatically capturing a picture at a fixed interval (20 m in this embodiment) Latitude / longitude data adding means 16 for adding positional information to shooting data, flag assigning means 18 for giving a flag to shooting data based on a signal from a wireless shutter, Memory means 20 for recording data in an SD memory, Configured to function as control means 22 for controlling each means To have.
図５において、区画線診断システムに使用されるパソコン用区画線診断ソフトは、コンピュータ２４を、スマートフォンの撮影データをＳＤカード２６などを介して取り込む画像データ受信手段２８、パソコン操作者のキーボード操作によって入力される区画線抽出支援データを受信し、該データを、取り込んだ各画像データごとに付加する区画線抽出支援データ受信手段３０、画像データとこれに付加された区画線抽出支援データに基づいて、ＡＩ（人工知能）を用い、区画線の部分を自動判別し抽出する区画線判別抽出手段３２、ＡＩ（人工知能）を用い、抽出した区画線の摩耗度を自動測定する区画線摩耗度測定手段３４、区画線の摩耗度に応じて、不良、警告、良好の３段階で評価し、パソコンの画面に表示する区画線の摩耗度評価表示手段３６、地図上に摩耗の情況別に赤（不良）、黄（警告）、緑（良好）で着色し、パソコンの画面に表示する摩耗度地図着色表示手段３８、区画線の摩耗度の調査結果を表の形式で作成して表示する摩耗度データ表形式表示手段４０、上記各手段を制御する制御手段４２として機能させるように構成されている。 In FIG. 5, PC division line diagnostic software used in the division line diagnosis system includes an image data receiving unit 28 for capturing image data of a smartphone via the SD card 26 or the like by the computer 24 and a PC operator's keyboard operation Based on the division line extraction support data receiving means 30 for receiving the input division line extraction support data and adding the data to each of the captured image data, based on the image data and the division line extraction support data added thereto , AI (artificial intelligence), lane marking discrimination extraction means 32 for automatically discriminating and extracting the part of the lane marking, AI (artificial intelligence), lane marking wear measurement for automatically measuring the degree of wear of the extracted lane markings Measure 34 according to the degree of wear of the division line, and evaluate the degree of wear of the division line displayed on the screen of the personal computer by evaluating in three stages of failure, warning and good Display means 36, wear degree map coloring display means 38 colored in red (bad), yellow (warning) and green (good) according to the wear situation on the map and displayed on the screen of the personal computer, investigation of wear degree of division lines It is configured to function as a wear degree data tabular display means 40 for creating and displaying the result in the form of a table, and a control means 42 for controlling the above respective means.
次に、図１に示すフローチャートを参照して本発明にかかる区画線診断システムの診断処理手順について説明する。
予め走行するルートの計画を立て、区画線撮影用のアプリケーションを内蔵したスマートフォン２を車両４に装着する。車両４に運転手１名が乗車し、区画線診断作業がスタートする（ステップ１）。運転手は、法定速度で調査路線を走行し、スマートフォン２を作動させ、一定間隔（２０ｍ）で写真を自動撮影し、ＳＤカード２６に記録する。緯度経度のデータも同時に取得する。重要地点は、運転者が無線シャッター（図示省略）を操作し、撮影地点にフラグを立てる（ステップ２）。
Next, with reference to the flowchart shown in FIG. 1, the diagnostic processing procedure of the marking line diagnostic system according to the present invention will be described.
A route for traveling in advance is planned, and the smartphone 2 incorporating an application for section line imaging is attached to the vehicle 4. One driver gets on the vehicle 4, and the lane marking diagnosis starts (step 1). The driver travels the survey route at a legal speed, operates the smartphone 2, automatically takes a picture at a constant interval (20 m), and records it on the SD card 26. Data of latitude and longitude are also acquired at the same time. The driver operates the wireless shutter (not shown) to flag the shooting point (step 2).
次に、スマートフォン２６のＳＤカード２６を用いて、区画線の写真データをパソコン２４に取り込む（ステップ３）。写真データを取り込む際に、パソコン２４の画面の写真画像の下に図３に示す、複数の用意した選択画像の中の１つの選択画像４４が表示される。操作者がこの画像を選択することで、車線数、走行車線の有無、区画線の有無を選択する。パソコン操作者は、選択画像４４を選択することにより、例えば、片側３車線の道路で第何走行車線を走行しているか、左側は外側線、右側は破線など、何の区画線が描かれているかを設定する。この情報は区画線の画像データに区画線抽出支援データとして付加される。 Next, using the SD card 26 of the smartphone 26, the photograph data of the dividing line is taken into the personal computer 24 (step 3). When taking picture data, one selection image 44 among a plurality of prepared selection images shown in FIG. 3 is displayed below the picture image on the screen of the personal computer 24. The operator selects this image to select the number of lanes, the presence or absence of a travel lane, and the presence or absence of a lane line. By selecting the selection image 44, the PC operator draws what division line, such as the number of traveling lanes on a road with three lanes on one side, an outer side line on the left side, and a broken line on the right side. Set the This information is added to the image data of the dividing line as dividing line extraction support data.
次に、パソコンにインストールされた区画線診断アプリケーションソフトの区画線判別抽出手段３２は、区画線の画像データと、それに付加された位置情報及び区画線抽出支援データとから、画像中の区画線の部分を自動判別し抽出する（ステップ４）。図１の説明図は、区画線画像中の区画線４６の部分４６ａを抽出し、四角いマークを付けた状態を示している。図２は、四角いマークを付けた画像の拡大図である。 Next, the parting line discriminating / extracting means 32 of the parting line diagnostic application software installed in the personal computer is the parting line in the image from the image data of the parting line and the position information and the parting line extraction support data added thereto. The part is automatically discriminated and extracted (step 4). The explanatory view of FIG. 1 shows a state in which a portion 46 a of the dividing line 46 in the dividing line image is extracted and marked with a square. FIG. 2 is an enlarged view of a square-marked image.
次に、アプリケーションソフトの区画線摩耗度測定手段３４は、抽出した区画線の摩耗度を自動測定する。更に、区画線摩耗度評価手段３６は、区画線の摩耗度に応じて、不良、警告、良好の３段階で評価する（ステップ５）。
摩耗度の計算は、所定のエリア内での区画線の白線が塗布された白色面積と黒色の部分の面積との利率を求める。摩耗度の計算は、種々の計算式を用いることが可能であり、本発明の実施に際しては特定の計算式に限定されるものではない。
Next, the division line wear measurement unit 34 of the application software automatically measures the wear degree of the extracted division line. Furthermore, according to the degree of wear of the parting line, the parting wire abrasion degree evaluation means 36 evaluates in three levels of failure, warning and good (step 5).
In the calculation of the degree of wear, the interest rate of the white area coated with the white line of the dividing line within the predetermined area and the area of the black portion is determined. The calculation of the degree of wear can use various calculation formulas, and is not limited to a specific calculation formula in the practice of the present invention.
次に、アプリケーションソフトの摩耗度地図着色表示手段３８は、パソコンの画面に図１に示すように地図４８を表示し、地図上の車線に摩耗の状態別に赤（不良）、黄（警告）、緑（良好）で着色する（ステップ６）。地図の広域表示の時は、道路の区画線を１本の線で表示し、詳細地図の時は、区画線の本数を全て表示する（ステップ６）。アプリケーションソフトの摩耗度表形式作成手段４０は、商標名『エクセル』の表作成ソフトを利用して摩耗度の調査結果を示す表５０を作成し、各区画線のおおよその摩耗している数量を出力する（ステップ７）。
本実施形態では、作業日数は延長５０ｋｍの道路で、作業員１人で１日かけている。
Next, the wear degree map coloring display means 38 of the application software displays the map 48 on the screen of the personal computer as shown in FIG. 1, and the lane on the map shows red (bad), yellow (warning) Color in green (good) (step 6). At the time of wide area display of the map, the division lines of the road are displayed by one line, and at the time of the detailed map, all the numbers of division lines are displayed (step 6). The application software wear degree table format creation means 40 creates a table 50 showing investigation results of the wear degree using table name creation software under the trade name "Excel", and calculates the approximate worn quantity of each division line Output (step 7).
In the present embodiment, one working person spends one day working on a road with an extension of 50 km.
２ スマートフォン
４ 車両
６ 操作信号受信手段
８ 撮影データ受信手段
１０ 位置データ受信手段
１２ 無線シャッター信号受信手段
１４ 一定間隔自動撮影手段
１６ 緯度経度データ付加手段
１８ フラグ付与手段
２０ メモリ手段
２２ 制御手段
２４ コンピュータ
２６ ＳＤカード
２８ 画像データ受信手段
３０ 区画線抽出支援データ受信手段
３２ 区画線判別抽出手段
３４ 区画線摩耗度測定手段
３６ 区画線摩耗度評価手段
３８ 摩耗度地図着色表示手段
４０ 摩耗度データ表形式作成表示手段
４２ 制御手段
４４ 選択画像
４６ 区画線
４８ 地図
５０ 表
Reference Signs List 2 smartphone 4 vehicle 6 operation signal receiving means 8 imaging data receiving means 10 position data receiving means 12 wireless shutter signal receiving means 14 fixed interval automatic imaging means 16 latitude and longitude data adding means 18 flag adding means 20 memory means 22 control means 24 computer 26 SD card 28 image data receiving means 30 parting line extraction support data receiving means 32 parting line discrimination extracting means 34 parting line wear degree measuring means 36 parting line wear degree evaluation means 38 wear degree map coloring and displaying means 40 wear degree data tabular form display Means 42 Control means 44 Selected image 46 Section line 48 Map 50 Table
Claims (5)
一定間隔自動撮影手段、
カメラからの撮影データを受信する撮影データ受信手段、
ＧＰＳからの位置データを受信する位置データ受信手段、
画像データに位置データを付加する緯度経度データ付加手段、
画像データをメモリに記録するメモリ手段
として機能させ、スマートフォンを車両に装着して道路上を走行し、スマートフォンにより区画線を一定間隔で撮影し、区画線の画像データを作成する画像データ作成プロセスと、
コンピュータを、
画像データ受信手段、
画像データの中から調査の対象とする区画線を判別し抽出するための区画線判別抽出手段、
画像データから抽出した区画線の摩耗度を測定する区画線摩耗度測定手段、
摩耗度測定結果に応じて区画線の摩耗の状態を複数の段階に分けて評価する区画線摩耗度評価手段、
地図上の車線部分に区画線の摩耗の情況別に着色し表示する摩耗度地図着色表示手段
として機能させ、前記画像データ作成プロセスで作成した画像データをコンピュータに取り込み、該画像データから区画線の摩耗度を測定し、該測定データに基づいて区画線の摩耗度の状況を色で示した地図データを作成するようにした画像データ処理プロセスとから成ることを特徴とする道路区画線診断方法。 Smartphone computer with camera and GPS,
Fixed interval automatic shooting means,
Shooting data receiving means for receiving shooting data from a camera,
Position data receiving means for receiving position data from GPS,
Latitude and longitude data addition means for adding position data to image data,
An image data creation process of functioning as a memory means for recording image data in a memory, mounting a smartphone on a vehicle and traveling on a road, photographing the division lines at predetermined intervals by the smartphone, and generating image data of the division lines ,
Computer,
Image data receiving means,
Parcel line discrimination and extraction means for discriminating and extracting a parcel line to be investigated from among image data;
Section line wear degree measuring means for measuring the degree of wear of section lines extracted from image data,
Means for evaluating the degree of wear of dividing line according to the result of measurement of degree of wear, by evaluating the state of wear of dividing line in a plurality of stages,
It functions as a wear degree map coloring display means that colors and displays the lane lines on the map according to the wear condition of the division lines, and the image data created in the image data creation process is taken into a computer and the division lines wear out from the image data. A road section line diagnostic method comprising: an image data processing process of measuring the degree and creating map data indicating the status of the degree of wear of the section line by color based on the measured data.
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