JP3651337B2 - Road surface monitoring device - Google Patents
Road surface monitoring device Download PDFInfo
- Publication number
- JP3651337B2 JP3651337B2 JP33465199A JP33465199A JP3651337B2 JP 3651337 B2 JP3651337 B2 JP 3651337B2 JP 33465199 A JP33465199 A JP 33465199A JP 33465199 A JP33465199 A JP 33465199A JP 3651337 B2 JP3651337 B2 JP 3651337B2
- Authority
- JP
- Japan
- Prior art keywords
- road surface
- monitoring
- reflection
- monitoring camera
- image
- 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.)
- Expired - Fee Related
Links
Images
Description
【０００１】
【発明の属する技術分野】
本発明は、道路の路面の凍結、圧雪、湿潤または乾燥等の状況を検出する路面監視装置に関するものである
【０００２】
【従来の技術】
雪が多く降る地方にあっては、冬季になると、道路交通の確保の面から頻繁に除雪が行われている。しかしながら、近年、自動車の交通量が多くなってきた一方、道路上の雪は少しの条件でも凍結状態になりやすく、スタッドレスタイヤといえども自動車のブレーキも利きが悪くなって運転は危険に陥り、事故の多発を招くことがある。従って、道路管理センター、自治体等から早めに道路の路面状況を運転者に知らせ、注意を喚起することが必要となってきている。
【０００３】
従来は、道路の主要な箇所に監視カメラと外気の温度計とを設置し、センター等で画像を目視して路面状況を判断して電光板等で注意を促す一方、インターネット等で当該点の路面状況を公開することによって現状の路面状況を広報している。
【０００４】
【発明が解決しようとする課題】
しかしながら、このような従来の道路の監視システムでは、静止画と気温のみでしかも画像データを目視によって路面状況を判断しなければならず、実際の路面が凍結しているのか、圧雪状態であるのか、湿潤状態であるのか、または乾燥状態であるのかを素早く、正確に判断するのは困難であった。
【０００５】
本発明は上記の問題を解決することを課題とし、路面の状態を高速かつ正確に認識、広報できるようにすることを目的とする。
【０００６】
【課題を解決するため手段】
上記の課題を解決した本発明は、次の通りである。
（１）路面を監視する監視カメラと、路面温度を測定する路面温度センサとを備えて前記路面の状況を判定する路面監視装置において、前記監視カメラの画像情報より画像全体の明るさと状態を判定すべき路面の特定領域の明るさの比を求めてこの比が、前記監視カメラに偏向フィルタを付加したときの画像情報より求められる画像全体の明るさと前記特定領域の明るさの比より大きければ路面からの反射が存在すると判定し、この反射の有無と前記路面温度センサの測定値の大きさとより前記路面の状況を判定する路面反射検出手段を有することを特徴とする路面監視装置。
【０００７】
（２）路面を監視する監視カメラと、路面温度を計測する路面温度センサとを備えて前記路面の状況を判定する路面監視装置において、前記監視カメラの画像情報と前記監視カメラに偏向フィルタを付加したときの画像情報とから前記路面の反射を検出する反射検出手段と、前記監視カメラまたは前記偏向フィルタが付加された前記監視カメラからの監視領域の画像情報と予め定めた基準色の画像情報との比の値により前記監視領域の路面色を白または黒とする路面色検出手段と、前記路面温度センサの測定値、前記反射検出手段の反射の有無、前記路面色検出手段の路面色から前記路面の状況を判定する路面状況判定手段を有することを特徴とする路面監視装置。
【０００８】
（３）（１）または（２）記載の路面監視装置を複数点に設置するとともにＷＷＷサーバーを備える通信回線によって結合し、前記ＷＷＷサーバーは、各点における装置内のデータを通信によって取得し当該点における路面の状況を判定するとともに、通常の路面状況の画像と、前記データ取得時点での路面状況の画像または判定結果とを並べて表示し、定時毎に更新することを特徴とする路面監視装置。
【００１１】
【発明の実施の形態】
以下、本発明を実施した例について図面を用いて説明する。
図1は、本発明の路面監視装置の構成ブロック図である。
この図にあって、本発明装置は、路面を監視する監視カメラ１、ＲＳ４８５の制御信号で監視カメラ1の運動制御及びＮＴＳＣ方式で監視カメラ１の画像情報を取得するカメラサーバー２、路面近傍の温度を測定する温度センサ３、外気温を測定する外気温センサ４、温度センサ３と外気温センサ４からの温度信号を通信回線Ｌ上の信号に変換する変換器５から構成される。
【００１２】
また、監視カメラ１の前面には偏向フィルタｆを設置し、カメラサーバー２からの遠隔制御により、偏向フィルタｆが監視カメラ１の前面に装着、装着解除できるようにする。
【００１３】
更に、通信回線Ｌは例えばコンピュータ６に接続し、コンピュータ６は、偏向フィルタｆを装着した監視カメラ１からの画像データまたは偏向フィルタｆが装着解除されたときの監視カメラ１からの画像データを取り込むとともに、路面の温度センサ３、外気温センサ４からのデータも取り込む。このコンピュータ６は画像診断部を備え、受信した各種の信号から路面状況の判定を行い、その結果を表示、印字制御する。
【００１４】
実際には、図2に示すように、道路の複数の箇所に、電信柱等を利用して監視カメラ１、外気温センサ４、変換器５を設置し、路面には温度センサ３を埋め込む。
【００１５】
図3は、監視カメラ１の最適な取り付け位置を表わす図であり、偏向フィルタｆにあって、路面からの反射光を除去する効果が一番大きな角度（約３０度から４０度程度）に監視カメラ１を設置する。反射光が極端に少ない場合は、別途照明を設けるか、反対側に反射板を設置する。
【００１６】
次に、このように構成された本発明装置の動作を説明する。
本発明の装置は、監視カメラ１と路面の温度センサ３を用いる点は従来と同様であるが、路面温度を検出するとともに、監視カメラ１に偏向フィルタｆを装着または偏向フィルタｆなしの状態で路面からの画像データを取得し、路面からの反射状況を捉えて画像診断して解析する点に特徴がある。
【００１７】
即ち、路面温度と路面反射との関係から次の判定を行う。
路面凍結：路面反射ありかつ路面温度が低い
路面湿潤：路面反射ありかつ路面温度が高い
路面圧雪または路面雪面乾燥：路面反射なしかつ路面温度が低い
路面乾燥：路面反射なし路面温度が高い
【００１８】
また、監視カメラ１からの画像データ（階調データ等）を診断して路面の色が白または黒のいずれに近いかにより、路面における圧雪（雪面）の有無を判断する。
即ち、対象とする画像データが白に近ければ「路面に雪面あり」、黒に近ければ「路面に雪面なし」とする。
【００１９】
更に、以上の条件を組み合わせ、次のような判定アルゴリズムを構築すれば、より正確に路面状態を認識することができる。
路面圧雪（雪面乾燥）：路面温度≦０℃，路面反射なし，路面色ほぼ白
路面凍結▲１▼（雪凍結または雪湿潤）：路面温度≦０℃，路面反射あり，路面色ほぼ白
路面凍結▲２▼（水分凍結）：路面温度≦０℃，路面反射あり，路面色ほぼ黒
路面湿潤（冠水）：路面温度＞０℃，路面反射あり，路面色ほぼ黒
路面乾燥（通常）：路面温度＞０℃，路面反射なし，路面色ほぼ黒
【００２０】
尚、路面温度の基準は上記では０℃としたが、必ずしも０℃でなくてよく、装置の設置場所での特有な条件に従って０℃以上、０℃以下、または外気温を加味して経験的に設定する。更に、外気温度は風の影響もあるので、風速、風量等も考慮して基準温度を設定するようにしてもよい。
【００２１】
次に、路面反射の検出について、説明する。
図4は、偏向フィルタｆ装着なしの監視カメラ１によって路面状態を撮影したときの画像データを表わし、図５は、路面の反射を消去するために偏向フィルタｆを監視カメラ1に装着したときの同じ路面を撮影した画像データを表わす。
尚、図4、図5において、ほぼ中央の円領域Ｚは、凍結状態を判定すべき路面領域とする。
【００２２】
図4にて画像全体の明るさ（明るさ積算値、平均階調データ等）をＡ１とし、領域Ｚ内の明るさ（明るさ積算値、平均階調データ等）をＡｃ１とする。
同様に、図５にて画像全体の明るさ（平均階調データ）をＡ２とし、領域Ｚ内の明るさ（平均階調データ）をＡｃ２とする。
【００２３】
これらの値Ａ１，Ａｃ１，Ａ２，Ａｃ２を用い、路面からの反射の有無を次のように検出する。
即ち、画像診断部で各々の明るさの比、（Ａ１−Ａｃ１）／Ａｃ１，（Ａ２−Ａｃ２）／Ａｃ２を算出する。
【００２４】
（Ａ１−Ａｃ１）／Ａｃ１＞（Ａ２−Ａｃ２）／Ａｃ２の条件を満たしていれば、領域Ｚに反射が存在すると推定する。
数値的に（Ａ１−Ａｃ１）／Ａｃ１がある程度大きくなってから反射を検出するように、基準となる値を設定してもよい。
このように、明るさの比で反射の有無を判定するので、監視カメラ１を複数台設置したときの各監視カメラ１の特性の違い、または、昼、夜の違いによる影響がない。
【００２５】
路面の色の判断は、次のようにして行う。
路面の色の判断には、監視カメラ１または道路の近傍に白さの基準となる白色板を設置するようにし、得られた画像の一部の領域にこの白色板が撮影されるようにする。
【００２６】
図６は、偏向フィルタｆ装着なしの監視カメラ１によって路面状態を撮影したときの画像データを表わし、図７は、路面の反射を消去するために偏向フィルタｆを監視カメラ1に装着したときの同じ路面を撮影した画像データを表わす。
これらの図６、図７において、ほぼ中央の円領域Ｚは、色を判定すべき路面領域Ｚとし、右下の小さな領域Ｙは、白色板を撮影した白色基準領域とする。
【００２７】
上記の説明と同様に、図６において、領域Ｚの白さ加減をＷｃ１とし、領域Ｙ内の白さ加減をＷｓ１とする。同様にして、図７において、領域Ｚの白さ加減をＷｃ２とし、領域Ｙ内の白さ加減をＷｓ２とする。
ここで、画面の白さ加減は、実際の白色または黒色を表わす画像データと、対象とする画像データにおける平均階調データとの差分値等とする。
【００２８】
そして、Ｗｃ１／Ｗｓ１またはＷｃ２／Ｗｓ２の比の値が“１”に近い場合は、路面色が白に近く、この領域Ｚに圧雪があると判断し、“０”に近い場合は、路面色が黒に近く、この領域Ｚに圧雪はないと判断する。
Ｗｃ１／Ｗｓ１またはＷｃ２／Ｗｓ２の比の値が“１”，“０”のいずれに近いのか判断するため、０＜Ｘ＜１となる基準値Ｘを予め定めておく。
【００２９】
このように、路面色を白さ加減の比で検出するので、上記と同様に、監視カメラ１を複数台設置したときの各監視カメラ１の特性の違い、昼、夜の違い、または天候による違いによる影響がない。
単純には、予め白さ加減を判定する値を定めておけば、Ｗｃ１またはＷｃ２の値のみで路面の白さ加減を判断することができる。
実際には画面上には、通行中の自動車等が撮影されるので、車感知センサ、または画像診断によって自動車、人のいない状態で画像データを取得して判定を行う。
【００３０】
以上のようにして、現在の注目している路面の領域が、路面温度、路面反射、路面色の状態により、路面圧雪（雪面乾燥）、路面凍結▲１▼（雪凍結または雪湿潤）、路面凍結▲２▼（水分凍結）、路面湿潤、路面乾燥（通常）のいずれの状態であるかを判定することができる。
【００３１】
図８は、通信回線Ｎに本発明の路面監視装置ｐ１，ｐ２，ｐ３，ｐ４，ｐ５，ｐ６，ｐ７，…，ｐｎを複数台（ｎは整数）、異なる地点に設置し、複数地点での路面状況を把握しようとする例である。通信回線Ｎはローカル・エリア・ネットワークまたは通常の電話回線でよい。また、通信回線Ｎには、表示装置、ＣＰＵ等を備えるＷＷＷサーバーＳが接続される。
【００３２】
この例では、ＷＷＷサーバーＳ側で自動ダイアル・アップ機能等を利用して各箇所の路面監視装置ｐｋに電話をかける、あるいは時分割データ収集システム等によって各箇所における路面監視装置ｐｋの画像情報、温度データ、その他の情報を定時毎に受信、収集する。
【００３３】
そして、ＷＷＷサーバーＳ内部に設置した画像診断手段によって、各箇所の装置から収集したデータについて処理を実行し、路面の状況を判定する。
続いて、通常の路面状況の画像と、今回判定した路面の画像または路面状況の判定結果（路面圧雪（雪面乾燥）、路面凍結▲１▼（雪凍結または雪湿潤）、路面凍結▲２▼（水分凍結）、路面湿潤、路面乾燥（通常））を並べて表示するように処理を実行する。
【００３４】
このＷＷＷサーバーＳの情報は、ネットで道路管理センター内のみならず、インターネットＮＮ等により一般にも公開し、いつでもどこからでもアクセスできるようにする。
【００３５】
【発明の効果】
本発明によれば、以下のような効果を得る。
請求項１から請求項２の発明によれば、実際の路面から離れた道路管理センターのような場所にあっても、静止画のみでなく、路面状況の判定結果をも得ることができるので、高速にかつ正確に路面状況を把握することができる。
【００３６】
請求項３の発明によれば、複数地点の路面の状況をＷＷＷサーバー側で認識することができ、ネットワークで公開できるので、路面状況の広報による注意喚起を実現できる。
【図面の簡単な説明】
【図１】本発明の路面監視装置を表わす構成ブロック図である。
【図２】本発明の路面監視装置を実際の現場に取り付けた例を表わす図である。
【図３】本発明の路面監視装置における監視カメラの取り付け例を表わす図である。
【図４】本発明の路面監視装置の監視カメラの画像を表わす図である。
【図５】本発明の路面監視装置の監視カメラに偏向フィルタを装着した場合の画像を表わす図である。
【図６】本発明の路面監視装置の監視カメラの画像及び白色基準領域を表わす図である。
【図７】本発明の路面監視装置の監視カメラに偏向フィルタを装着した場合の画像及び白色基準領域を表わす図である。
【図８】本発明の路面監視装置を複数台設置したときの例を表わす図である。
【符号の説明】
１ 監視カメラ
２ カメラサーバー
３ 温度センサ
４ 外気温センサ
５ 変換器
６ コンピュータ
ｆ 偏向フィルタ
ｐ１，ｐ２，ｐ３，ｐ４，ｐ５，ｐ６，ｐ７，…，ｐｎ 路面監視装置
Ｌ，Ｎ，ＮＮ 通信回線
Ｓ ＷＷＷサーバー[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a road surface monitoring device for detecting a situation such as freezing, snow pressure, wetness or dryness of a road surface of a road.
[Prior art]
In regions where a lot of snow falls, snow is frequently removed in winter to ensure road traffic. However, in recent years, the volume of automobile traffic has increased, and snow on the road tends to freeze even under a few conditions, and even with studless tires, the brakes of the automobile have become worse and driving has become dangerous. It may lead to frequent accidents. Therefore, it is necessary to notify the driver of the road surface condition of the road and call attention from the road management center, local government, etc. as soon as possible.
[0003]
Conventionally, surveillance cameras and outdoor air thermometers are installed at major locations on the road, and the road surface conditions are judged by visually observing images at the center, etc. The current road surface situation is publicized by disclosing the road surface condition.
[0004]
[Problems to be solved by the invention]
However, in such a conventional road monitoring system, it is necessary to determine the road surface condition by visual observation only with still images and temperature, and whether the actual road surface is frozen or in a compressed snow state. It was difficult to quickly and accurately determine whether the wet state or the dry state.
[0005]
An object of the present invention is to solve the above-described problems, and to make it possible to recognize and publicize a road surface state quickly and accurately.
[0006]
[Means for solving the problems]
The present invention that has solved the above problems is as follows.
(1) In a road surface monitoring apparatus that includes a monitoring camera that monitors a road surface and a road surface temperature sensor that measures a road surface temperature and determines the road surface condition, the brightness and state of the entire image are determined from image information of the monitoring camera. If the ratio of the brightness of the specific area of the road surface to be calculated is greater than the ratio of the brightness of the entire area and the brightness of the specific area obtained from the image information when a deflection filter is added to the surveillance camera, A road surface monitoring device comprising road surface reflection detection means for determining that there is reflection from a road surface, and determining the road surface condition based on the presence or absence of the reflection and the magnitude of a measurement value of the road surface temperature sensor.
[0007]
(2) In a road surface monitoring apparatus that includes a monitoring camera that monitors a road surface and a road surface temperature sensor that measures a road surface temperature and determines the road surface condition, a deflection filter is added to the image information of the monitoring camera and the monitoring camera Reflection detection means for detecting the reflection of the road surface from the image information at the time, image information of the monitoring area from the monitoring camera or the monitoring camera to which the deflection filter is added, and image information of a predetermined reference color The road surface color detection means for setting the road surface color of the monitoring area to white or black according to the ratio value of the ratio, the measured value of the road surface temperature sensor, the presence or absence of reflection of the reflection detection means, the road surface color of the road surface color detection means A road surface monitoring device comprising road surface state determination means for determining a road surface state .
[0008]
(3) The road surface monitoring device according to (1) or (2) is installed at a plurality of points and coupled by a communication line including a WWW server, and the WWW server acquires data in the device at each point by communication and A road surface monitoring apparatus characterized by determining a road surface condition at a point, displaying an image of a normal road surface condition, and an image or determination result of the road surface condition at the time of data acquisition, and updating them at regular intervals .
[0011]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, examples in which the present invention is implemented will be described with reference to the drawings.
FIG. 1 is a block diagram showing the configuration of a road surface monitoring device according to the present invention.
In this figure, the device of the present invention includes a surveillance camera 1 that monitors the road surface, a camera server 2 that acquires image information of the surveillance camera 1 using the NTSC system and motion control of the surveillance camera 1 by the control signal of RS485, A temperature sensor 3 for measuring temperature, an outside air temperature sensor 4 for measuring outside air temperature, and a
[0012]
In addition, a deflection filter f is installed on the front surface of the surveillance camera 1 so that the deflection filter f can be attached to and removed from the front surface of the surveillance camera 1 by remote control from the camera server 2.
[0013]
Further, the communication line L is connected to, for example, a computer 6, and the computer 6 captures image data from the monitoring camera 1 to which the deflection filter f is attached or image data from the monitoring camera 1 when the deflection filter f is released. At the same time, data from the road surface temperature sensor 3 and the outside air temperature sensor 4 are also taken in. The computer 6 includes an image diagnostic unit, determines road surface conditions from various received signals, and displays and prints the results.
[0014]
In practice, as shown in FIG. 2, the monitoring camera 1, the outside air temperature sensor 4, and the
[0015]
FIG. 3 is a diagram showing an optimum mounting position of the monitoring camera 1, and is monitored at the angle (about 30 to 40 degrees) at which the effect of removing the reflected light from the road surface is in the deflection filter f. Camera 1 is installed. If the amount of reflected light is extremely small, provide separate illumination or install a reflector on the opposite side.
[0016]
Next, the operation of the apparatus of the present invention configured as described above will be described.
The apparatus of the present invention is the same as the conventional one in that the monitoring camera 1 and the road surface temperature sensor 3 are used. However, the apparatus detects the road surface temperature and the monitoring camera 1 is equipped with the deflection filter f or without the deflection filter f. It is characterized in that image data from the road surface is acquired, the reflection state from the road surface is captured and image diagnosis is performed for analysis.
[0017]
That is, the following determination is performed from the relationship between the road surface temperature and the road surface reflection.
Road surface freezing: road surface reflection and low road surface temperature wetness: road surface reflection and high road surface temperature Snow pressure or road surface snow drying: no road surface reflection and low road surface temperature road drying: no road surface reflection high road surface temperature ]
Also, the presence or absence of compressed snow (snow surface) on the road surface is determined by diagnosing image data (gradation data and the like) from the monitoring camera 1 and determining whether the road surface color is close to white or black.
That is, if the target image data is close to white, “there is snow on the road surface”, and if it is close to black, “no snow on the road surface”.
[0019]
Furthermore, if the above conditions are combined and the following determination algorithm is constructed, the road surface state can be recognized more accurately.
Road pressure snow (snow surface dryness): Road surface temperature ≤ 0 ° C, no road surface reflection, road surface color almost white freezing (1) (Snow freeze or snow wet): Road surface temperature ≤ 0 ° C, road surface reflection, road color almost white road surface Freezing (2) (moisture freezing): road surface temperature ≤ 0 ° C, road surface reflection, road surface color almost black road surface wet (submersion): road surface temperature> 0 ° C, road surface reflection, road surface color almost black road surface dry (normal): road surface Temperature> 0 ° C, no road surface reflection, road surface color almost black [0020]
In addition, although the reference | standard of the road surface temperature was 0 degreeC in the above, it does not necessarily need to be 0 degreeC, and it is empirically considering 0 degreeC or more, 0 degreeC or less, or outside temperature according to the specific conditions in the installation place of an apparatus. Set to. Furthermore, since the outside air temperature is also influenced by wind, the reference temperature may be set in consideration of the wind speed, the air volume, and the like.
[0021]
Next, detection of road surface reflection will be described.
FIG. 4 shows image data when the road surface state is photographed by the monitoring camera 1 without the deflection filter f attached, and FIG. 5 shows a state when the deflection filter f is attached to the monitoring camera 1 in order to eliminate reflection on the road surface. This represents image data obtained by photographing the same road surface.
In FIGS. 4 and 5, a substantially central circular area Z is a road surface area where the frozen state should be determined.
[0022]
In FIG. 4, the brightness (brightness integrated value, average gradation data, etc.) of the entire image is A1, and the brightness (brightness integrated value, average gradation data, etc.) in the region Z is Ac1.
Similarly, in FIG. 5, the brightness (average gradation data) of the entire image is A2, and the brightness (average gradation data) in the area Z is Ac2.
[0023]
Using these values A1, Ac1, A2, and Ac2, the presence or absence of reflection from the road surface is detected as follows.
That is, the image diagnosis unit calculates the brightness ratio (A1-Ac1) / Ac1, (A2-Ac2) / Ac2.
[0024]
If the condition of (A1-Ac1) / Ac1> (A2-Ac2) / Ac2 is satisfied, it is estimated that reflection exists in the region Z.
A reference value may be set so that reflection is detected after numerically (A1-Ac1) / Ac1 has increased to some extent.
Thus, since the presence or absence of reflection is determined by the brightness ratio, there is no influence due to the difference in the characteristics of the monitoring cameras 1 or the difference between daytime and night when a plurality of monitoring cameras 1 are installed.
[0025]
The color of the road surface is determined as follows.
To determine the color of the road surface, a white plate serving as a reference for whiteness is installed in the vicinity of the monitoring camera 1 or the road, and this white plate is photographed in a partial area of the obtained image. .
[0026]
FIG. 6 shows image data when a road surface state is photographed by the monitoring camera 1 without the deflection filter f attached, and FIG. 7 shows a state when the deflection filter f is attached to the monitoring camera 1 in order to eliminate reflection on the road surface. This represents image data obtained by photographing the same road surface.
6 and 7, a substantially circular area Z at the center is a road surface area Z whose color is to be determined, and a small area Y at the lower right is a white reference area obtained by photographing a white plate.
[0027]
In the same manner as described above, in FIG. 6, the whiteness adjustment in the region Z is Wc1, and the whiteness adjustment in the region Y is Ws1. Similarly, in FIG. 7, the whiteness adjustment in the region Z is Wc2, and the whiteness adjustment in the region Y is Ws2.
Here, the whiteness of the screen is adjusted by a difference value between image data representing actual white or black and average gradation data in the target image data.
[0028]
When the value of the ratio of Wc1 / Ws1 or Wc2 / Ws2 is close to “1”, the road surface color is close to white, and it is determined that there is compressed snow in this region Z, and when it is close to “0”, the road surface color Is close to black, and it is determined that there is no compressed snow in this region Z.
In order to determine whether the value of the ratio of Wc1 / Ws1 or Wc2 / Ws2 is close to “1” or “0”, a reference value X that satisfies 0 <X <1 is determined in advance.
[0029]
As described above, since the road surface color is detected by the ratio of whiteness to whiteness, similarly to the above, depending on the difference in the characteristics of the monitoring cameras 1 when a plurality of monitoring cameras 1 are installed, the difference in day and night, or the weather There is no effect of differences.
Simply, if a value for determining whiteness adjustment is determined in advance, the whiteness of the road surface can be determined only by the value of Wc1 or Wc2.
Actually, since a moving car or the like is photographed on the screen, image data is acquired in the absence of a car or a person by a car detection sensor or image diagnosis, and determination is performed.
[0030]
As described above, depending on the road surface temperature, the road surface reflection, and the road surface color, the current road surface area of interest is road pressure snow (snow surface drying), road surface freezing (1) (snow freezing or wetness), It can be determined whether the road surface is frozen (2) (water freeze), road surface wet, or road surface dry (normal).
[0031]
FIG. 8 shows a case where a plurality of road surface monitoring devices p1, p2, p3, p4, p5, p6, p7,..., Pn (n is an integer) are installed at different points on a communication line N. This is an example of trying to grasp the road surface condition. The communication line N may be a local area network or a normal telephone line. In addition, a WWW server S including a display device, a CPU and the like is connected to the communication line N.
[0032]
In this example, the WWW server S uses the automatic dial-up function to call the road surface monitoring device pk at each location, or the image information of the road surface monitoring device pk at each location by a time division data collection system, Receive and collect temperature data and other information at regular intervals.
[0033]
Then, the image diagnostic means installed inside the WWW server S executes processing on the data collected from the devices at each location, and determines the road surface condition.
Subsequently, the image of the normal road surface condition, the image of the road surface determined this time or the determination result of the road surface condition (road pressure snow (snow surface drying), road surface freezing (1) (snow freezing or snow wet), road surface freezing (2) (Moisture freezing), road surface wetness, road surface dryness (normal)) are processed so as to be displayed side by side.
[0034]
The information of the WWW server S is made public not only on the road management center but also on the Internet NN etc. so that it can be accessed anytime and anywhere.
[0035]
【The invention's effect】
According to the present invention, the following effects are obtained.
According to the inventions of claims 1 to 2 , even in a place such as a road management center away from the actual road surface, not only a still image but also a determination result of the road surface condition can be obtained. The road surface condition can be grasped quickly and accurately.
[0036]
According to the invention of claim 3 , since the road surface conditions at a plurality of points can be recognized on the WWW server side and can be disclosed on the network, it is possible to realize alerting by publicizing road surface conditions.
[Brief description of the drawings]
FIG. 1 is a configuration block diagram showing a road surface monitoring device of the present invention.
FIG. 2 is a diagram showing an example in which the road surface monitoring device of the present invention is attached to an actual site.
FIG. 3 is a diagram illustrating an example of attachment of a monitoring camera in the road surface monitoring device of the present invention.
FIG. 4 is a diagram showing an image of a monitoring camera of the road surface monitoring device of the present invention.
FIG. 5 is a diagram showing an image when a deflection filter is attached to the monitoring camera of the road surface monitoring device of the present invention.
FIG. 6 is a diagram illustrating an image of a monitoring camera and a white reference area of the road surface monitoring device of the present invention.
FIG. 7 is a diagram illustrating an image and a white reference region when a deflection filter is attached to the monitoring camera of the road surface monitoring device of the present invention.
FIG. 8 is a diagram illustrating an example when a plurality of road surface monitoring devices of the present invention are installed.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 Surveillance camera 2 Camera server 3 Temperature sensor 4 Outside
Claims (3)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP33465199A JP3651337B2 (en) | 1999-11-25 | 1999-11-25 | Road surface monitoring device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP33465199A JP3651337B2 (en) | 1999-11-25 | 1999-11-25 | Road surface monitoring device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2001155286A JP2001155286A (en) | 2001-06-08 |
| JP3651337B2 true JP3651337B2 (en) | 2005-05-25 |
Family
ID=18279751
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP33465199A Expired - Fee Related JP3651337B2 (en) | 1999-11-25 | 1999-11-25 | Road surface monitoring device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP3651337B2 (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5564960B2 (en) * | 2010-01-25 | 2014-08-06 | 日本電気株式会社 | Wet detection device and wet detection method |
| DE102012222668A1 (en) | 2012-12-10 | 2014-06-12 | Robert Bosch Gmbh | Vehicle surroundings monitoring device |
| DE102015224131A1 (en) * | 2015-12-03 | 2017-06-08 | Jenoptik Robot Gmbh | Method and device for speed monitoring in a traffic area, traffic monitoring device (VÜG) and traffic monitoring system with conditional trigger threshold value |
| JP7349658B2 (en) | 2019-06-21 | 2023-09-25 | パナソニックＩｐマネジメント株式会社 | Road surface information provision system, road surface information provision method, and lighting body |
| CN113624626A (en) * | 2021-07-22 | 2021-11-09 | 四川省机械研究设计院(集团)有限公司 | Gypsum cementing material setting and hardening detection system and method |
-
1999
- 1999-11-25 JP JP33465199A patent/JP3651337B2/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| JP2001155286A (en) | 2001-06-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101394244B1 (en) | Multi image acquisition apparatus, and probe car-based system for sensing road surface condition automatically using the same | |
| JP2010163131A (en) | Road surface state discriminating device | |
| US20230169856A1 (en) | Apparatus and System for Detecting Road Surface Condition and Method for Detecting Road Surface Condition by Using Same | |
| JP3651337B2 (en) | Road surface monitoring device | |
| KR20170064247A (en) | System for detecting road surface condition automatically using auxiliary lighting apparatus, and vehicle having the same | |
| WO2023140579A1 (en) | Control system using road surface recognition of traveling vehicle, and method therefor | |
| JP2006308514A (en) | Image processing type snow cover sensor on road surface and snow cover detecting method | |
| KR101165695B1 (en) | Automatic controllable polarized light filter for detecting road surface condition, and driving method for the same | |
| CN206321297U (en) | A kind of road ponding data collecting system of combining road feature | |
| KR101180421B1 (en) | Automatic detecting method of road surface condition using polarized light filter and sensors | |
| JP2002157676A (en) | Road surface state discriminating method of visible image type road surface state grasping device | |
| KR102312382B1 (en) | System for providing slip information of road surface using wheel speen sensor of vehicle and gravitational acceleration sensor, and method for the same | |
| KR101407551B1 (en) | Cctv image-based automatic detecting system of road surface condition using polarized light filter module of integration type, and method for the same | |
| JP2001021669A (en) | Snowfall detection system | |
| JP5190204B2 (en) | Road area snow detection device and road area snow detection method | |
| JP2850890B2 (en) | Composite sensor type vehicle detector | |
| JP2002162343A (en) | Judgement method of road surface condition by visual picture type road surface condition finding equipment | |
| JP3612565B2 (en) | Road surface condition judgment method | |
| KR102317633B1 (en) | System for detecting black ice in real time at roads based on multiple road image and method thereof | |
| JP4071610B2 (en) | Traveling vehicle detection system | |
| JP3728503B2 (en) | Sensor selection method using data certainty factor and road traffic monitoring system using it | |
| KR102388804B1 (en) | System for classifying rod surface condition using spectrum data and road surface temperature data, and method for the same | |
| JP2002170189A (en) | Road surface monitoring device | |
| JP2003162795A (en) | Sensor selecting method using weather data and road traffic monitoring system using the same | |
| JP2001357386A (en) | Method and device for detecting road surface state |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20041028 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20041104 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20041227 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20050201 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20050214 |
|
| R150 | Certificate of patent or registration of utility model |
Free format text: JAPANESE INTERMEDIATE CODE: R150 |
|
| LAPS | Cancellation because of no payment of annual fees |