JPH0962982A - Vehicle type discriminating device - Google Patents

Vehicle type discriminating device

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Publication number
JPH0962982A
JPH0962982A JP7217536A JP21753695A JPH0962982A JP H0962982 A JPH0962982 A JP H0962982A JP 7217536 A JP7217536 A JP 7217536A JP 21753695 A JP21753695 A JP 21753695A JP H0962982 A JPH0962982 A JP H0962982A
Authority
JP
Japan
Prior art keywords
vehicle
tire
width
antenna
floor surface
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
JP7217536A
Other languages
Japanese (ja)
Inventor
Tetsuo Ota
哲夫 太田
Toshinori Ubukawa
俊則 生川
Masatoshi Sugiyama
正壽 杉山
Sadao Degawa
定男 出川
Hiroyuki Arai
浩幸 新井
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
IHI Corp
Original Assignee
IHI Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by IHI Corp filed Critical IHI Corp
Priority to JP7217536A priority Critical patent/JPH0962982A/en
Publication of JPH0962982A publication Critical patent/JPH0962982A/en
Pending legal-status Critical Current

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  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Traffic Control Systems (AREA)

Abstract

PROBLEM TO BE SOLVED: To provide a vehicle type discriminating device whereby various kinds of vehicles (mainly passenger car) coming all the time are correctly classified while they are running without stopping them in a large scale of machine- type parking device. SOLUTION: The device is provided with a CCD camera 4, an image processor 6 and a pressure sensor 8 so that difference between a vehicle density on the image and the density on the measured floor surface is differentially processed by the image processor 6, the rapid change segment of the density is picked-up, vehicle width is obtained from it and wheel width is simultaneously calculated from wheel positions. Moreover, the device is provided with vehicle length measuring photoelectric sensors 10a-d, vehicle height measuring photoelectric sensors 12d, e, a load meter 16 and a discriminating device 18 so that the discriminating device 18 individually measures the respective parameters of vehicle length, vehicle height, wheel width and vehicle weight, a smallest class capable of containing the vehicle is selected from the measurement value at every parameter, the classes at every parameter are compared and the largest class is selected.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【発明の属する技術分野】本発明は、走行車両を車両寸
法によりクラス分けする車種判別装置に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a vehicle type discriminating device for classifying traveling vehicles according to vehicle dimensions.

【0002】[0002]

【従来の技術】高速道路や駐車設備において、走行車両
を車両寸法(車長、車高、車幅、等)により目測でクラ
ス分けすることが、従来から行なわれている。また、高
速有料道路等で、トレーラ車等の特殊車両を自動判別す
る装置が既に提案されている(例えば、実開平1−64
798号公報、特開平4−270497号公報、実公平
6−15359号公報)。
2. Description of the Related Art In highways and parking facilities, it has been practiced to visually classify traveling vehicles according to vehicle dimensions (vehicle length, vehicle height, vehicle width, etc.). In addition, a device for automatically discriminating a special vehicle such as a trailer vehicle on a highway toll road or the like has already been proposed (for example, actual Kaihei 1-64).
798, JP-A-4-270497, JP-B-6-15359).

【0003】[0003]

【発明が解決しようとする課題】しかし、かかる従来の
手段では、精度が低く、大まかなクラス分けしかできな
い問題点があった。すなわち、特開平4−270497
号の装置では、車幅と車長のみ、実公平6−15359
号の「車種判別装置」では、軸数と軸間距離のみを検知
しているに過ぎず、トレーラ車等の特殊車両やバス等の
大型車両を大まかにクラス分けできるにすぎなかった。
However, such a conventional means has a problem that the accuracy is low and only rough classification is possible. That is, JP-A-4-270497
In the equipment of No. 6, only the vehicle width and the vehicle length are
The "Vehicle type discriminating device" of the issue only detects the number of axles and the distance between the axles, and can roughly classify special vehicles such as trailer vehicles and large vehicles such as buses.

【0004】また、実開平1−64798号の「車種判
別装置」では、車両の軸数、輪数、輪距、車高、車長、
オーバーハング等を検知しているが、検知精度が低く、
かつ車幅、タイヤ幅、及び車重を検知していないため、
大型車、普通車、特殊車両、等の大まかなクラス分け
(区分け)はできるが、大型駐車場(例えば大型機械式
駐車装置)における入庫スペースに対応した細かいクラ
ス分けはできなかった。
Further, in the "vehicle type identification device" of Japanese Utility Model Laid-Open No. 1-64798, the number of axles, the number of wheels, the wheel distance, the vehicle height, the vehicle length,
Detects overhangs, but the detection accuracy is low,
And because the vehicle width, tire width, and vehicle weight are not detected,
Although it is possible to roughly classify (classify) large vehicles, ordinary vehicles, special vehicles, etc., it is not possible to perform detailed classification corresponding to the storage space in a large parking lot (for example, a large mechanical parking device).

【0005】更に、車幅検出において、超音波センサに
よる検出精度は低く、CCDカメラを用いた検出では、
車体色が背景色と同色系のときは、画像処理による抽出
がほとんどできなかった。
Further, in the vehicle width detection, the detection accuracy of the ultrasonic sensor is low, and in the detection using the CCD camera,
When the vehicle body color was the same color as the background color, it was almost impossible to extract by image processing.

【0006】本発明は、かかる問題点を解決するために
創案されたものである。すなわち本発明の目的は、規模
の大きい機械式駐車装置において絶え間なく入車する多
種の車両(主として乗用車)を停止することなく走行中
に正確にクラス分けすることができる車種判別装置を提
供することにある。また、本発明の別の目的は、車体色
やその濃度によらず、車幅を確実に計測でき、かつ、少
なくともタイヤ幅を同時に計測して、入庫スペースに対
応して細かいクラス分けができる車種判別装置を提供す
ることにある。
The present invention has been made to solve such a problem. That is, an object of the present invention is to provide a vehicle type identification device capable of accurately classifying various types of vehicles (mainly passenger cars) that constantly enter in a large-scale mechanical parking device while traveling without stopping. It is in. Another object of the present invention is a vehicle type capable of reliably measuring the vehicle width regardless of the vehicle body color and its density, and at least measuring the tire width at the same time, and classifying the vehicle into a fine class corresponding to the storage space. To provide a discriminating device.

【0007】[0007]

【課題を解決するための手段】本発明によれば、車両の
走行する計測床面の上部に鉛直下向きに設置され、計測
床面を背景とする車両両側面の画像を撮像するCCDカ
メラと、撮像画像を処理する画像処理装置と、計測床面
上のタイヤ通過部に張り付けられ、タイヤ通過時のタイ
ヤ位置を検出する感圧センサと、を備え、前記画像処理
装置により、画像上の車両濃度と計測床面の濃度との差
を微分処理して濃度の急変線分を抽出し、該急変線分の
うち、前後方向に所定の長さ以上延びかつ幅方向に最も
間隔を隔てた線分間を車幅とし、同時に感圧センサによ
るタイヤ位置からタイヤ幅を算出する、ことを特徴とす
る車種判別装置が提供される。
According to the present invention, a CCD camera is installed vertically downward on an upper surface of a measurement floor on which a vehicle is running and which captures images of both sides of the vehicle with the measurement floor surface as a background. An image processing device that processes a captured image, and a pressure sensor that is attached to a tire passing portion on a measurement floor surface and detects a tire position when the tire passes, and the image processing device causes the vehicle density on the image to be increased. And a concentration difference on the measurement floor surface is differentiated to extract a sudden change line segment of the concentration, and among the sudden change line segments, a line segment that extends a predetermined length or more in the front-rear direction and is most spaced in the width direction. Is provided as the vehicle width, and the tire width is calculated from the tire position by the pressure sensor at the same time.

【0008】この構成によれば、計測床面を背景として
撮像するので、車体色やその濃度によらず、計測床面と
の比較により、車両の両側面を濃度の急変線分として確
実に抽出することができる。この場合、計測床面は、車
両の幅方向に延びた一定幅を持つ濃色と淡色からなる縞
模様を有するのがよい。また、急変線分のうち、前後方
向に所定の長さ以上延びかつ幅方向に最も間隔を隔てた
線分間を車幅とするので、突起物等の影響を受けること
なく正確な車幅を検出することができる。更に、同時に
感圧センサによりタイヤ幅を算出するので、正確な車幅
とタイヤ幅から、入庫スペースに対応して細かいクラス
分けができる。
According to this structure, the measurement floor surface is imaged against the background, so that both side surfaces of the vehicle are surely extracted as a sudden change line segment of the density by comparison with the measurement floor surface regardless of the vehicle body color and its density. can do. In this case, the measurement floor surface preferably has a striped pattern of a dark color and a light color, which has a constant width and extends in the width direction of the vehicle. Also, among the sudden change line segments, the line segment that extends a predetermined length or more in the front-rear direction and is most spaced in the width direction is the vehicle width, so the accurate vehicle width can be detected without being affected by protrusions and the like. can do. Further, since the tire width is calculated at the same time by the pressure-sensitive sensor, it is possible to classify the vehicle width and the tire width accurately according to the storage space.

【0009】本発明の好ましい実施形態によれば、車両
の走行方向に間隔を隔てて配置され車両による遮光によ
り車長を測定する複数の車長測定用光電センサと、上下
に間隔を隔てて配置され、車両による遮光により車高を
測定する複数の車高測定用光電センサと、計測床面上の
タイヤ通過部に取り付けられ、タイヤ通過時の荷重を測
定する車重計と、各計測値から車両をクラス分けする判
別装置と、を更に備え、判別装置により、(a) 車長、車
幅、車高、タイヤ幅、車重の各パラメータをそれぞれ独
立に計測し、(b) 各パラメータ毎に、前記計測値から該
車両を収容できる最小のクラスを選択し、(c) パラメー
タ毎のクラスを比較して最大のクラスを選別する。
According to a preferred embodiment of the present invention, a plurality of vehicle length measuring photoelectric sensors, which are arranged at intervals in the traveling direction of the vehicle and measure the vehicle length by light shielding by the vehicle, are arranged at intervals vertically. A plurality of vehicle height measuring photoelectric sensors that measure the vehicle height by shading by the vehicle, a vehicle weight scale that is attached to the tire passage part on the measurement floor and measures the load when the tire passes, and from each measured value A discriminating device for classifying vehicles is further provided, and by the discriminating device, (a) vehicle length, vehicle width, vehicle height, tire width, and vehicle weight parameters are independently measured, and (b) each parameter is measured. First, the smallest class capable of accommodating the vehicle is selected from the measured values, and (c) the classes for each parameter are compared to select the largest class.

【0010】この構成によれば、車両を停止させること
なく車長、車幅、車高、タイヤ幅、車重の自動測定結果
から総合的に判断し、走行中に正確にクラス分けするこ
とができる。更に、上下に間隔を隔てて配置され、アン
テナによる遮光によりアンテナの有無を検出する複数の
アンテナ検出用光電センサを備え、車高測定用光電セン
サにより測定された車高より上に位置するアンテナ検出
用光電センサにより車両から延びたアンテナを検出する
ことにより、運転者にアンテナの収納を指示し、アンテ
ナの破損を未然に防止することができる。
With this configuration, it is possible to make a comprehensive judgment from the automatic measurement results of the vehicle length, the vehicle width, the vehicle height, the tire width, and the vehicle weight without stopping the vehicle, and to accurately classify the vehicle while traveling. it can. In addition, it is equipped with a plurality of photoelectric sensors for antenna detection that are vertically spaced apart and detect the presence or absence of antennas by light shielding by the antenna, and antenna detection that is located above the vehicle height measured by the vehicle height measurement photoelectric sensor. By detecting the antenna extending from the vehicle by the use photoelectric sensor, it is possible to instruct the driver to store the antenna and prevent the antenna from being damaged.

【0011】[0011]

【発明の実施の形態】以下、本発明の好ましい実施形態
を図面を参照して説明する。なお、各図において共通す
る部分には同一の符号を付して使用する。図1は、本発
明の車種判別装置による車両のクラス分けの説明図であ
る。本発明は、例えば500台以上を収容する規模の機
械式駐車装置において多種の車両(主として乗用車)を
図1の下表に示す6つのクラス(A,B,C,D,E,
F)に仕分け(クラス分け)するために用いられる。各
クラスは、車両の車長、車幅、車高、タイヤ幅、車重の
各パラメータにより区分され、表に記載された数字は収
納される最大寸法及び重量を示している。この各クラス
は、例えば、機械式駐車装置に設けられたパレットの寸
法に依存している。従って、パラメータのうち1つで
も、そのクラスを越える場合には、その上のクラスに仕
分けする必要がある。また、最大のクラスを越える車両
(例えば、トラック、特殊車両等)は、この6つのクラ
ス(これに相当するパレット)に格納できないため、こ
れを予め検出して除外する必要がある。更に、車両のア
ンテナが延びている場合には、そのまま、機械式駐車装
置に格納すると、アンテナを破損するおそれがあるため
予め収納する必要がある。なお、図1のクラス分けは、
実施形態にすぎず、本発明はこれに限定されないことは
勿論である。
DESCRIPTION OF THE PREFERRED EMBODIMENTS Preferred embodiments of the present invention will be described below with reference to the drawings. In the drawings, common parts are denoted by the same reference numerals. FIG. 1 is an explanatory diagram of classifying vehicles by the vehicle type identification device of the present invention. The present invention relates to six classes (A, B, C, D, E,) shown in the lower table of FIG. 1 for various types of vehicles (mainly passenger cars) in a mechanical parking apparatus of a scale that accommodates, for example, 500 or more vehicles.
It is used for sorting (classification) into F). Each class is classified according to the parameters of the vehicle length, vehicle width, vehicle height, tire width, and vehicle weight, and the numbers shown in the table indicate the maximum size and weight that can be stored. Each of these classes depends, for example, on the dimensions of the pallets provided in the mechanical parking device. Therefore, even if one of the parameters exceeds that class, it is necessary to classify it into a class above it. Further, vehicles exceeding the maximum class (for example, trucks, special vehicles, etc.) cannot be stored in these six classes (pallets corresponding to these), and therefore it is necessary to detect and exclude them in advance. Further, when the antenna of the vehicle is extended, if the antenna is stored in the mechanical parking device as it is, the antenna may be damaged, and thus the antenna needs to be stored in advance. In addition, the classification of Figure 1 is
It is needless to say that the present invention is merely an embodiment and the present invention is not limited to this.

【0012】図2は、本発明による車種判別装置の全体
構成図である。この図において、本発明の車種判別装置
は、車両1の走行する計測床面2の上部に鉛直下向きに
設置され計測床面2を背景とする車両両側面の画像を撮
像するCCDカメラ4と、撮像画像を処理する画像処理
装置6と、計測床面2上のタイヤ通過部に張り付けられ
タイヤ通過時のタイヤ位置を検出する感圧センサ8と、
を備えている。
FIG. 2 is an overall configuration diagram of a vehicle type discriminating apparatus according to the present invention. In this figure, a vehicle type identification device of the present invention is a CCD camera 4 installed vertically above the measurement floor surface 2 on which a vehicle 1 is running and which captures images of both side surfaces of the vehicle with the measurement floor surface 2 as a background. An image processing device 6 that processes a captured image, a pressure-sensitive sensor 8 that is attached to a tire passage portion on the measurement floor surface 2 and that detects a tire position when the tire passes.
It has.

【0013】図3(A)は、CCDカメラ4と画像処理
装置6による車幅計測状態を示す斜視図である。この図
に示すように、車両1の通過領域に車両検知センサ10
aが設置され、このセンサ10aにより車両1を検知し
た際に、CCDカメラ4により車両1の両側面の画像を
上方から床面を含めて撮像し、画像処理装置6によりC
CDカメラ4により撮像された撮像画像を処理して車幅
を出力するようになっている。
FIG. 3A is a perspective view showing a vehicle width measurement state by the CCD camera 4 and the image processing device 6. As shown in this figure, the vehicle detection sensor 10 is provided in the passage area of the vehicle 1.
a is installed and when the vehicle 1 is detected by the sensor 10a, the CCD camera 4 captures images of both side surfaces of the vehicle 1 from above including the floor surface, and the image processing device 6 performs C
The imaged image captured by the CD camera 4 is processed to output the vehicle width.

【0014】図4は、画像処理装置6における画像処理
の模式図である。この図に示すように、画像処理装置6
により、画像上の車両濃度と縞模様の濃度との差を微分
処理して濃度の急変線分を抽出し(図4C)、この急変
線分のうち、ほぼ前後方向に所定の長さ以上延び、かつ
幅方向に最も間隔を隔てた線分を抽出セグメントとし
(図4D)、ほぼ同一線上に位置する抽出セグメントを
結んで1対の平行線を求め、この平行線の間隔を車幅と
する(図4E)ようになっている。
FIG. 4 is a schematic diagram of image processing in the image processing apparatus 6. As shown in this figure, the image processing device 6
By this, the difference between the vehicle density on the image and the density of the striped pattern is differentiated to extract a sudden change line segment of the density (FIG. 4C), and of this sudden change line segment, it extends in the front-back direction by a predetermined length or more. , And the line segment most spaced in the width direction is set as the extraction segment (FIG. 4D), the extraction segments located substantially on the same line are connected to obtain a pair of parallel lines, and the space between the parallel lines is set as the vehicle width. (Fig. 4E).

【0015】また、図4(A)に示すように計測床面2
は、車両1の幅方向に直線状に延びた縞模様を有してい
る。この縞模様は、交互に配置された同一幅の濃色部と
淡色部からなる。すなわち、車体色は、真っ白から真っ
黒まで濃淡様々であり、かつ多様な色を有しているの
で、これらの車両に対応させて、必ず車体色と床面との
間に濃淡の差がはっきりでて両側面を識別できるよう
に、車両通過領域の床面を一定の幅を持つ濃色部(例え
ば黒)と淡色部(例えば白)の交互の縞模様としてい
る。これより、縞模様の濃色部と淡色部の少なくともい
ずれかとの比較により、車体色やその濃度によらず、車
両の両側面を濃度の急変線分として確実に抽出すること
ができる。
In addition, as shown in FIG.
Has a striped pattern that extends linearly in the width direction of the vehicle 1. This striped pattern is composed of alternately arranged dark color portions and light color portions of the same width. In other words, the body color varies from pure white to pure black and has a wide variety of colors.Therefore, in correspondence with these vehicles, the difference in shade between the body color and the floor surface must be clear. The floor surface of the vehicle passage area has an alternating striped pattern of a dark color portion (for example, black) and a light color portion (for example, white) so that both sides can be identified. From this, by comparing at least one of the dark color portion and the light color portion of the striped pattern, it is possible to reliably extract both side surfaces of the vehicle as a sudden change line segment of the density regardless of the vehicle body color and the density thereof.

【0016】図3(B)は、感圧センサ8によるタイヤ
幅計測状態を示す斜視図である。この図に示すように、
車両1の通過領域にタイヤ検知センサ12cが設置さ
れ、このセンサ12cにより車両1を検知した際に、計
測床面2上に張り付けられた感圧センサ8によりタイヤ
位置を検出し、この位置からタイヤ幅を測定するように
なっている。感圧センサ8は、例えば圧力を受けて接点
がONするテープスイッチであり、このテープスイッチ
が幅方向に適当な間隔を隔てて複数本配置されている。
すなわち、床に敷き詰めたテープスイッチとタイヤを検
知するセンサ12cを使用し、タイヤ検知センサ12c
がタイヤを検知した瞬間から、床に敷き詰められたテー
プスイッチ8のON/OFF状態をサンプリングしてタ
イヤ幅(図1に示すタイヤの全幅)を計算し、その中か
ら最大のものを測定結果とする。この構成により、タイ
ヤ通過時のタイヤによる面圧によりその部分のテープス
イッチをONにし、その最大幅から図1に示したタイヤ
の全幅を測定することができる。なお、感圧センサ8
は、テープスイッチに限定されず、タイヤの圧力により
出力が変わるものであればよい。
FIG. 3B is a perspective view showing a tire width measurement state by the pressure sensitive sensor 8. As shown in this figure,
A tire detection sensor 12c is installed in the passage area of the vehicle 1. When the vehicle 12 is detected by the sensor 12c, the tire position is detected by the pressure-sensitive sensor 8 attached on the measurement floor surface 2, and the tire is detected from this position. It is designed to measure width. The pressure-sensitive sensor 8 is, for example, a tape switch whose contacts are turned on when pressure is applied, and a plurality of tape switches are arranged at appropriate intervals in the width direction.
That is, using the tape switch laid on the floor and the sensor 12c for detecting the tire, the tire detection sensor 12c is used.
From the moment when the tire is detected by the tire, the ON / OFF state of the tape switch 8 laid on the floor is sampled to calculate the tire width (the total width of the tire shown in FIG. 1), and the largest one is the measurement result. To do. With this configuration, the tape switch in that portion is turned on by the surface pressure of the tire when passing through the tire, and the entire width of the tire shown in FIG. 1 can be measured from its maximum width. The pressure sensor 8
Is not limited to a tape switch, and may be any one whose output changes depending on the tire pressure.

【0017】上述した構成によれば、計測床面2を背景
として撮像するので、車体色やその濃度によらず、計測
床面2との比較により、車両1の両側面を濃度の急変線
分として確実に抽出することができる。また、急変線分
のうち、前後方向に所定の長さ以上延びかつ幅方向に最
も間隔を隔てた線分間を車幅とするので、突起物等の影
響を受けることなく正確な車幅を検出することができ
る。更に、同時に感圧センサによりタイヤ幅を算出する
ので、正確な車幅とタイヤ幅から、入庫スペースに対応
して細かいクラス分けができる。
According to the above-mentioned structure, since the measurement floor surface 2 is imaged with the background as the background, both side surfaces of the vehicle 1 are compared with the measurement floor surface 2 regardless of the color of the vehicle body and the density thereof, and the sudden change line segment of the density is detected. Can be reliably extracted as. Also, among the sudden change line segments, the line segment that extends a predetermined length or more in the front-rear direction and is most spaced in the width direction is the vehicle width, so the accurate vehicle width can be detected without being affected by protrusions and the like. can do. Further, since the tire width is calculated at the same time by the pressure-sensitive sensor, it is possible to classify the vehicle width and the tire width accurately according to the storage space.

【0018】図2において、本発明の車両区分装置は更
に、エリアセンサ10a,10b,10c,10d、ビ
ームセンサ12a,12b,12c,12d,12e及
び14a,14b、車重計16、及び判別装置18を備
えている。エリアセンサ10a〜10d及びビームセン
サ12a〜e及び14a,bは、全て光電センサであ
り、各光電センサは、車両の通路を横断する光線を水平
に放射する発光器と、この光を受光器とからなり、この
光線が遮光されることにより、その間に車両等があるこ
とを検出するようになっている。エリアセンサ10a〜
dは、特に複数の光線を上下方向に適当な間隔を隔てて
放射するようになっており、車両1の形状によらず、車
両1の通過を検出できるようになっている。また、ビー
ムセンサ12a〜eは、比較的細い1本の光線を用いた
光電センサであり、この光線の遮光により、その遮光位
置を少なくとも±5mm程度以下の精度で検出できるよ
うになっている。更に、ビームセンサ14a,bは、直
径が数mm程度の非常に細い光線を用いた同様の光電セ
ンサである。なお、光電センサ14a,bは、好ましく
はレーザセンサであるが、本発明はこれに限定されず、
その他のものであってもよい。なお、エリアセンサ10
aは、上述した車両検知センサ10aとして、ビームセ
ンサ12cはタイヤ検知センサ12cとして機能する。
In FIG. 2, the vehicle sorting apparatus of the present invention further includes area sensors 10a, 10b, 10c, 10d, beam sensors 12a, 12b, 12c, 12d, 12e and 14a, 14b, a vehicle weight gauge 16, and a discriminating device. Eighteen. The area sensors 10a to 10d and the beam sensors 12a to e and 14a, b are all photoelectric sensors, and each photoelectric sensor is a light emitter that horizontally emits a light beam that traverses a passage of a vehicle, and a light receiver that emits the light. By blocking this light beam, it is possible to detect that there is a vehicle or the like in between. Area sensor 10a-
In particular, d emits a plurality of light rays in the vertical direction at appropriate intervals, and can detect passage of the vehicle 1 regardless of the shape of the vehicle 1. The beam sensors 12a to 12e are photoelectric sensors that use a relatively thin light beam, and by blocking this light beam, the light blocking position can be detected with an accuracy of at least ± 5 mm or less. Further, the beam sensors 14a and 14b are similar photoelectric sensors using a very thin light beam having a diameter of about several mm. The photoelectric sensors 14a and 14b are preferably laser sensors, but the present invention is not limited to this.
Others may be used. The area sensor 10
a functions as the vehicle detection sensor 10a described above, and the beam sensor 12c functions as the tire detection sensor 12c.

【0019】図5(A)は、車長計測状態を示す斜視図
である。図2に示すように、エリアセンサ10a〜10
dは、車両1の走行方向に間隔を隔てて配置されてお
り、車両1による遮光により、図5(A)に示すよう
に、車長を測定する車長測定用光電センサとして機能す
る。すなわち、クラス分けに必要な組数(この図では3
組を使用し、3クラスとそれ以外に分類できる)に車両
1の先端を検出するための1組を加えた4つのエリアセ
ンサ10a〜10dを使用する。エリアセンサ10aを
車両が横切った瞬間のエリアセンサ10b〜10dのO
N/OFF状態をみることでクラス分けを行う。なお、
エリアセンサ10aが物体を検知した瞬間にビームセン
サ12aが遮光されていない場合には、外乱とみなし測
定を行わないことで、人が横切ったりした場合に誤動作
しないようにしている。
FIG. 5A is a perspective view showing a vehicle length measurement state. As shown in FIG. 2, area sensors 10a-10
d is arranged at intervals in the traveling direction of the vehicle 1 and functions as a vehicle-length measuring photoelectric sensor for measuring the vehicle length as shown in FIG. In other words, the number of groups required for classification (3 in this figure)
A set is used and can be classified into three classes and others) and one set for detecting the tip of the vehicle 1 is added to the four area sensors 10a to 10d. O of the area sensors 10b to 10d at the moment when the vehicle crosses the area sensor 10a.
Classify by checking N / OFF status. In addition,
If the beam sensor 12a is not shielded at the moment when the area sensor 10a detects an object, it is regarded as a disturbance and the measurement is not performed, so that a malfunction does not occur when a person crosses.

【0020】図5(B)は、車高計測状態を示す斜視図
である。ビームセンサ12d,12eは、上下に間隔を
隔てて配置されており、車両1による遮光により、図5
(B)に示すように、車高を測定する車高測定用光電セ
ンサとして機能する。すなわち、クラス分けに必要な組
数(この図では2組使用し2クラスとそれ以外に分類で
きる)のビームセンサ12d,12eを車高用として使
用する。また、車高測定用ビームセンサ12d,12e
が遮光された時の出力状態を保持し出力できるラッチ回
路を使用するのがよい。すなわち、エリアセンサ10d
が車両1を検知した瞬間にラッチ回路をリセットし、エ
リアセンサ10cを車両1が抜けた後にラッチ回路の出
力を読むことで車高測定用ビームセンサ12d,12e
が遮光されたか否かをみる。その結果から車高のクラス
分けを行う。
FIG. 5B is a perspective view showing a vehicle height measurement state. The beam sensors 12d and 12e are vertically spaced apart from each other.
As shown in (B), it functions as a vehicle height measuring photoelectric sensor for measuring the vehicle height. That is, the beam sensors 12d and 12e of the number of sets required for classification (two sets are used in this figure and can be classified into two classes and others) are used for vehicle height. In addition, vehicle height measuring beam sensors 12d and 12e
It is preferable to use a latch circuit that can hold and output the output state when the light is shielded. That is, the area sensor 10d
The vehicle height measuring beam sensors 12d and 12e by resetting the latch circuit at the moment when the vehicle 1 is detected, and reading the output of the latch circuit after the vehicle 1 exits the area sensor 10c.
Check if the light was shielded. Based on the results, classify the vehicle height.

【0021】図6(A)は、アンテナ検出状態を示す斜
視図である。図2に示すように、ビームセンサ14a,
bは、上下に間隔を隔てて配置され、アンテナによる遮
光によりアンテナの有無を検出するアンテナ検出用光電
センサとして機能する。すなわち、前述の車高測定用光
電センサ12d,12eにより測定された車高より上に
位置するアンテナ検出用光電センサ14a,bにより車
両1から延びたアンテナを検出するようになっている。
その他の構成は、図5(B)に示した車高計測と同様で
ある。この構成により、車両から延びたアンテナを検出
することにより、運転者にアンテナの収納を指示し、ア
ンテナの破損を未然に防止することができる。
FIG. 6A is a perspective view showing the antenna detection state. As shown in FIG. 2, the beam sensors 14a,
b is arranged at intervals in the vertical direction and functions as an antenna detection photoelectric sensor that detects the presence or absence of the antenna by light shielding by the antenna. That is, the antenna extending from the vehicle 1 is detected by the antenna detecting photoelectric sensors 14a and 14b located above the vehicle height measured by the vehicle height measuring photoelectric sensors 12d and 12e.
Other configurations are the same as the vehicle height measurement shown in FIG. With this configuration, by detecting the antenna extending from the vehicle, it is possible to instruct the driver to store the antenna and prevent the antenna from being damaged.

【0022】図6(B)は、車重計測状態を示す斜視図
である。図2に示すように、車重計16は、計測床面上
のタイヤ通過部に取り付けられ、タイヤ通過時の荷重を
測定するようになっている。すなわち、ロードセルを用
いた車重計16と、この位置をタイヤが通過したことが
わかるタイヤ検出センサ12bを使用し、タイヤ検出セ
ンサ12bによりタイヤを検出した時点で、車重計16
のインジケータからデータを取得する。前後輪それぞれ
の重量を求め、合計することで車重を求める。なお、こ
の車重計16は、走行中に重量を計測できるものであれ
ばロードセル以外であってもよい。
FIG. 6B is a perspective view showing a vehicle weight measurement state. As shown in FIG. 2, the vehicle weight scale 16 is attached to a tire passage portion on the measurement floor surface and measures the load when the tire passes. That is, the vehicle weight meter 16 using the load cell and the tire detection sensor 12b that indicates that the tire has passed this position are used, and when the tire detection sensor 12b detects the tire, the vehicle weight meter 16
Get the data from the indicator. The weight of each of the front and rear wheels is calculated and then summed to obtain the vehicle weight. The vehicle weight scale 16 may be other than the load cell as long as it can measure the weight during traveling.

【0023】図7は、判別装置18による車両のクラス
分け(判別)方法を示すフローチャートである。この図
に示すように、判別装置18により、(a) S1〜S5に
おいて、車長、車幅、車高、タイヤ幅、車重の各パラメ
ータをそれぞれ独立に計測し、次いで、(b) 各パラメー
タ毎に、前記計測値から車両を収容できる最小のクラス
を選択し、(c) S6において、パラメータ毎のクラスを
比較して最大のクラスを選別するようになっている。
FIG. 7 is a flow chart showing a vehicle classification (determination) method by the discrimination device 18. As shown in this figure, the discriminating device 18 measures (a) S1 to S5 parameters of the vehicle length, the vehicle width, the vehicle height, the tire width, and the vehicle weight independently of each other, and then (b) each. For each parameter, the smallest class that can accommodate the vehicle is selected from the measured values, and in (c) S6, the class for each parameter is compared and the largest class is selected.

【0024】例えば、(a) において、車長5200m
m、車幅2100mm、車高1500mm、タイヤ幅1
820mm、車重1800kgの車両の場合に、(b) に
おいて、図1の下表から、それぞれB,C,A,C,B
のクラスに選択され、(c) において、そのうちの最大ク
ラスであるCが出力される。従って、このクラス分け
(判別)により、どのような車両であっても、確実に細
かい分類を自動的に行うことができ、省力化・人件費の
削減を図ることができる。また、停止することなく計測
を行うため、渋滞の一要因を解消でき、ユーザへの円滑
なサービスが可能となると共に、安全面の向上も図るこ
とができる。
For example, in (a), the vehicle length is 5200 m.
m, vehicle width 2100 mm, vehicle height 1500 mm, tire width 1
In the case of a vehicle with a weight of 820 mm and a weight of 1800 kg, (b) shows B, C, A, C, B from the table below in FIG.
Is selected, and C, which is the maximum class among them, is output in (c). Therefore, by this classification (discrimination), regardless of the type of vehicle, fine classification can be surely performed automatically, and labor saving and labor cost reduction can be achieved. Further, since the measurement is performed without stopping, one factor of traffic congestion can be eliminated, smooth service can be provided to the user, and safety can be improved.

【0025】なお、本発明は上述した実施例に限定され
ず、本発明の要旨を逸脱しない範囲で種々に変更できる
ことは勿論である。
The present invention is not limited to the above-described embodiments, and it goes without saying that various modifications can be made without departing from the gist of the present invention.

【0026】[0026]

【発明の効果】上述したように、本発明の車種判別装置
は、車体色やその濃度によらず、車幅を確実に計測で
き、かつ、少なくともタイヤ幅を同時に計測して、入庫
スペースに対応して細かいクラス分けができる。また、
絶え間なく入車する多種の車両を停止させることなく車
長、車幅、車高、タイヤ幅、車重の自動測定結果から総
合的に判断し、走行中に正確にクラス分けすることがで
きる。更に、アンテナの有無をも検知して、運転者にア
ンテナの収納を指示し、アンテナの破損を未然に防止す
ることができる、等の優れた効果を有する。
As described above, the vehicle type discriminating apparatus of the present invention can reliably measure the vehicle width regardless of the vehicle body color and its density, and at the same time measures the tire width at the same time to accommodate the storage space. Then you can make a detailed classification. Also,
It is possible to accurately classify while traveling by making a comprehensive judgment from automatic measurement results of vehicle length, vehicle width, vehicle height, tire width, and vehicle weight without stopping various types of vehicles that constantly enter. Further, the presence or absence of the antenna is also detected, the driver is instructed to store the antenna, and damage to the antenna can be prevented in advance.

【図面の簡単な説明】[Brief description of drawings]

【図1】本発明の車種判別装置による車両のクラス分け
の説明図である。
FIG. 1 is an explanatory diagram of classifying vehicles by a vehicle type identification device of the present invention.

【図2】本発明の車種判別装置の全体構成図である。FIG. 2 is an overall configuration diagram of a vehicle type identification device of the present invention.

【図3】車幅計測状態とタイヤ幅計測状態を示す斜視図
である。
FIG. 3 is a perspective view showing a vehicle width measurement state and a tire width measurement state.

【図4】画像処理の模式図である。FIG. 4 is a schematic diagram of image processing.

【図5】車長計測状態と車高計測状態を示す斜視図であ
る。
FIG. 5 is a perspective view showing a vehicle length measurement state and a vehicle height measurement state.

【図6】アンテナ検出状態と車重計測状態を示す斜視図
である。
FIG. 6 is a perspective view showing an antenna detection state and a vehicle weight measurement state.

【図7】判別装置による車両のクラス分けを示すフロー
チャートである。
FIG. 7 is a flowchart showing classification of vehicles by a discrimination device.

【符号の説明】[Explanation of symbols]

1 車両 2 計測床面 4 CCDカメラ 6 画像処理装置 8 感圧センサ(テープスイッチ) 10a〜10d 車長測定用光電センサ(エリアセン
サ) 12a〜12e 光電センサ(ビームセンサ) 14a,14b 光電センサ(ビームセンサ) 16 車重計 18 判別装置
1 Vehicle 2 Measurement Floor Surface 4 CCD Camera 6 Image Processing Device 8 Pressure Sensitive Sensor (Tape Switch) 10a to 10d Vehicle Length Measuring Photoelectric Sensor (Area Sensor) 12a to 12e Photoelectric Sensor (Beam Sensor) 14a, 14b Photoelectric Sensor (Beam) Sensor) 16 Vehicle weight scale 18 Discrimination device

───────────────────────────────────────────────────── フロントページの続き (51)Int.Cl.6 識別記号 庁内整理番号 FI 技術表示箇所 // H04N 7/18 G06F 15/70 335Z (72)発明者 杉山 正壽 東京都江東区豊洲三丁目1番15号 石川島 播磨重工業株式会社東二テクニカルセンタ ー内 (72)発明者 出川 定男 東京都江東区豊洲三丁目1番15号 石川島 播磨重工業株式会社東二テクニカルセンタ ー内 (72)発明者 新井 浩幸 東京都千代田区大手町2丁目2番1号 石 川島播磨重工業株式会社本社内─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. 6 Identification number Reference number within the agency FI technical display location // H04N 7/18 G06F 15/70 335Z (72) Inventor Masatoshi Sugiyama Mitoyo Toyosu, Koto-ku, Tokyo 1-15 Ishikawajima Harima Heavy Industries Co., Ltd. Toji Technical Center (72) Inventor Sadao Degawa 3-15-15 Toyosu, Koto-ku, Tokyo Ishikawajima Harima Heavy Industries Co., Ltd. Toji Technical Center (72) Inventor Hiroyuki Arai 2-2-1 Otemachi, Chiyoda-ku, Tokyo Ishi Kawashima Harima Heavy Industries, Ltd. Head Office

Claims (3)

【特許請求の範囲】[Claims] 【請求項1】 車両の走行する計測床面の上部に鉛直下
向きに設置され、計測床面を背景とする車両両側面の画
像を撮像するCCDカメラと、撮像画像を処理する画像
処理装置と、計測床面上のタイヤ通過部に張り付けら
れ、タイヤ通過時のタイヤ位置を検出する感圧センサ
と、を備え、 前記画像処理装置により、画像上の車両濃度と計測床面
の濃度との差を微分処理して濃度の急変線分を抽出し、
該急変線分のうち、前後方向に所定の長さ以上延びかつ
幅方向に最も間隔を隔てた線分間を車幅とし、同時に感
圧センサによるタイヤ位置からタイヤ幅を算出する、こ
とを特徴とする車種判別装置。
1. A CCD camera, which is installed vertically downward on an upper surface of a measurement floor on which a vehicle is running and which captures images of both sides of the vehicle with the measurement floor surface as a background, and an image processing device which processes the captured image. Attached to the tire passage portion on the measurement floor surface, and comprising a pressure-sensitive sensor for detecting the tire position when the tire passes, by the image processing device, the difference between the vehicle concentration on the image and the concentration of the measurement floor surface Differentiate and extract the sudden change line segment of concentration,
Among the sudden change line segments, a line segment that extends a predetermined length or more in the front-rear direction and is most spaced in the width direction is set as the vehicle width, and at the same time, the tire width is calculated from the tire position by the pressure sensor. Vehicle type identification device.
【請求項2】 車両の走行方向に間隔を隔てて配置され
車両による遮光により車長を測定する複数の車長測定用
光電センサと、上下に間隔を隔てて配置され、車両によ
る遮光により車高を測定する複数の車高測定用光電セン
サと、計測床面上のタイヤ通過部に取り付けられ、タイ
ヤ通過時の荷重を測定する車重計と、各計測値から車両
をクラス分けする判別装置と、を更に備え、 判別装置により、(a) 車長、車幅、車高、タイヤ幅、車
重の各パラメータをそれぞれ独立に計測し、(b) 各パラ
メータ毎に、前記計測値から該車両を収容できる最小の
クラスを選択し、(c) パラメータ毎のクラスを比較して
最大のクラスを選別する、ことを特徴とする請求項1に
記載の車種判別装置。
2. A plurality of vehicle length measuring photoelectric sensors, which are arranged at intervals in the traveling direction of the vehicle and measure the vehicle length by light shielding by the vehicle, and a plurality of vehicle height measuring photoelectric sensors which are arranged at intervals vertically and are shielded by the vehicle. A plurality of vehicle height measuring photoelectric sensors for measuring the vehicle height, a vehicle weight scale attached to the tire passage portion on the measurement floor surface for measuring the load when the tire passes, and a discrimination device for classifying the vehicle from each measurement value Further, by the discriminating device, (a) each parameter of vehicle length, vehicle width, vehicle height, tire width, vehicle weight is measured independently, The vehicle type discriminating apparatus according to claim 1, wherein the smallest class capable of accommodating is selected, and (c) the classes for each parameter are compared to select the largest class.
【請求項3】 上下に間隔を隔てて配置され、アンテナ
による遮光によりアンテナの有無を検出する複数のアン
テナ検出用光電センサを更に備え、車高測定用光電セン
サにより測定された車高より上に位置するアンテナ検出
用光電センサにより車両から延びたアンテナを検出す
る、ことを特徴とする請求項1乃至2に記載の車種判別
装置。
3. A plurality of antenna detecting photoelectric sensors, which are vertically spaced apart from each other and detect the presence or absence of the antenna by light shielding by the antenna, are provided above the vehicle height measured by the vehicle height measuring photoelectric sensor. The vehicle type identification device according to claim 1 or 2, wherein an antenna extending from the vehicle is detected by a located photoelectric sensor for antenna detection.
JP7217536A 1995-08-25 1995-08-25 Vehicle type discriminating device Pending JPH0962982A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP7217536A JPH0962982A (en) 1995-08-25 1995-08-25 Vehicle type discriminating device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP7217536A JPH0962982A (en) 1995-08-25 1995-08-25 Vehicle type discriminating device

Publications (1)

Publication Number Publication Date
JPH0962982A true JPH0962982A (en) 1997-03-07

Family

ID=16705796

Family Applications (1)

Application Number Title Priority Date Filing Date
JP7217536A Pending JPH0962982A (en) 1995-08-25 1995-08-25 Vehicle type discriminating device

Country Status (1)

Country Link
JP (1) JPH0962982A (en)

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KR19990024394A (en) * 1997-08-31 1999-04-06 윤종용 Vehicle sorting device of toll collection system
JPH11110686A (en) * 1997-09-29 1999-04-23 Denso Corp Vehicle identification device
JPH11232587A (en) * 1998-02-16 1999-08-27 Omron Corp Detecting device, vehicle measuring instrument, axle detecting device, and pass charge calculating device
US6040785A (en) * 1997-04-18 2000-03-21 Park; Won-Seo Mixed lock type toll collecting system and method for toll collection of vehicles on toll road
JP2000182184A (en) * 1998-12-18 2000-06-30 Matsushita Electric Ind Co Ltd Method and device for detecting antenna on vehicle
US6198987B1 (en) 1997-04-18 2001-03-06 Samsung Electronics Co., Ltd. Method and a multi-functional apparatus for determining the class of a vehicle
JP2002074580A (en) * 2000-08-28 2002-03-15 Matsushita Electric Ind Co Ltd Car model discriminating system and car model discrimianting method
JP2002175595A (en) * 2000-12-06 2002-06-21 Ishikawajima Transport Machinery Co Ltd Device and method for vehicle path guidance in parking lot
KR20020088110A (en) * 2001-05-17 2002-11-27 엘지전자 주식회사 Method of Car Cognition for Electronic Toll Collection System
KR100369251B1 (en) * 1999-12-23 2003-01-24 삼성에스디에스 주식회사 Apparatus and method for detection of car information
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KR100796998B1 (en) * 2005-11-05 2008-01-23 서정수 Treadle sensor unite for discriminating automobile model and system using thereof
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CN107304639A (en) * 2016-04-20 2017-10-31 沈阳科华工业设备制造有限公司 A kind of multi-storied garage safety monitoring system
JP2018097498A (en) * 2016-12-09 2018-06-21 三菱重工機械システム株式会社 Traction determination device, traction determination method, and program
CN108198426A (en) * 2018-01-30 2018-06-22 河南郑大嘉源环保技术有限公司 A kind of motor vehicle in tunnel experiment vehicle automatic identifying method and its system
JP2020047218A (en) * 2018-09-21 2020-03-26 三菱重工機械システム株式会社 Vehicle information acquiring plate, vehicle information acquiring device, vehicle type discrimination device, vehicle information acquiring method, and program

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JPH11110686A (en) * 1997-09-29 1999-04-23 Denso Corp Vehicle identification device
JPH11232587A (en) * 1998-02-16 1999-08-27 Omron Corp Detecting device, vehicle measuring instrument, axle detecting device, and pass charge calculating device
JP2000182184A (en) * 1998-12-18 2000-06-30 Matsushita Electric Ind Co Ltd Method and device for detecting antenna on vehicle
KR100369251B1 (en) * 1999-12-23 2003-01-24 삼성에스디에스 주식회사 Apparatus and method for detection of car information
JP2002074580A (en) * 2000-08-28 2002-03-15 Matsushita Electric Ind Co Ltd Car model discriminating system and car model discrimianting method
JP2002175595A (en) * 2000-12-06 2002-06-21 Ishikawajima Transport Machinery Co Ltd Device and method for vehicle path guidance in parking lot
KR20020088110A (en) * 2001-05-17 2002-11-27 엘지전자 주식회사 Method of Car Cognition for Electronic Toll Collection System
KR100666381B1 (en) * 2005-04-06 2007-01-10 김함곤 Vehicles classification system
KR100796998B1 (en) * 2005-11-05 2008-01-23 서정수 Treadle sensor unite for discriminating automobile model and system using thereof
JP2007163172A (en) * 2005-12-09 2007-06-28 Nagoya Electric Works Co Ltd Apparatus, method, and program for measuring vehicle
JP2008180610A (en) * 2007-01-25 2008-08-07 Ishikawajima Transport Machinery Co Ltd Device for discriminating vehicle length
WO2010143769A1 (en) * 2009-06-09 2010-12-16 하이테콤시스템(주) Non-contact type vehicle sensing device
KR101442528B1 (en) * 2012-10-30 2014-09-26 대보정보통신 주식회사 Vehicle classification apparatus and control method thereof
CN107304639A (en) * 2016-04-20 2017-10-31 沈阳科华工业设备制造有限公司 A kind of multi-storied garage safety monitoring system
JP2018097498A (en) * 2016-12-09 2018-06-21 三菱重工機械システム株式会社 Traction determination device, traction determination method, and program
CN108198426A (en) * 2018-01-30 2018-06-22 河南郑大嘉源环保技术有限公司 A kind of motor vehicle in tunnel experiment vehicle automatic identifying method and its system
JP2020047218A (en) * 2018-09-21 2020-03-26 三菱重工機械システム株式会社 Vehicle information acquiring plate, vehicle information acquiring device, vehicle type discrimination device, vehicle information acquiring method, and program

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