JP3328711B2 - Vehicle height measuring device and vehicle monitoring system using the same - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus for measuring the height of a vehicle by using images obtained by capturing images of the vehicle by a plurality of image pickup means, and traveling on a road using the apparatus. The present invention relates to a vehicle monitoring system that monitors a vehicle that is traveling.

[0002]

2. Description of the Related Art A sign indicating the height of a vehicle that can pass is provided at a tunnel, an underpass road, an entrance of a parking lot, and the like. However, many drivers do not accurately recognize the height of their vehicle or miss the vehicle restriction sign, causing a U-turn near the entrance, causing traffic jams,
There are problems such as causing a collision accident when trying to pass as it is.

In order to solve such a problem, an apparatus as shown in FIG. 19 has been introduced on some roads. In this device, a display panel 30 is provided at a position above an entrance having a passage restriction such as a tunnel, and a vehicle detection pole 31 is suspended at a position just before the entrance. The pole 31 is provided at a height position corresponding to the height limit value of the vehicle. If the vehicle comes into contact with the pole 31 when the height of the passing vehicle exceeds the limit value, the pole 31 Predetermined warning information is output to the display panel 30 from a control device (not shown) which has detected the vibration of the pawl 31, and the driver is notified of danger.

However, in this configuration, a vehicle exceeding the height limit value is detected by bringing the vehicle into contact with the pole, so that both the vehicle and the pole may be damaged.

In order to solve this problem, there has been proposed an apparatus which detects the height of a vehicle in a non-contact manner by image processing (Japanese Patent Laid-Open No. 6-251284).
issue). In this apparatus, as shown in FIG. 3 of the publication, a plurality of CCD cameras are arranged at a position above a road, and an optical vehicle detector is arranged at an upstream side of the camera installation position. When the vehicle is detected by the container, each camera is operated to capture an image of the vehicle. The image from each camera is taken into the measurement control unit, and the edge of the vehicle on the image is extracted. Then, the distance from the camera installation position to the vehicle is determined by three-dimensional measurement using the corresponding edge between the images. Is calculated. Further, when the height of the vehicle derived from the calculated value exceeds a predetermined limit value, warning information is output to the display panel.

[0006]

In the apparatus disclosed in the above publication, as shown in FIGS. 4 and 6 of the publication, an image pickup operation is performed by receiving a detection output of a vehicle detector upstream of a camera. Thereby, an image of the rear position of the vehicle passing through the camera installation position is generated. In such an image, the edge along the longitudinal direction of the vehicle becomes dominant, so that if many feature points having the same height can be detected over a predetermined length at the rear of the vehicle, the vehicle height can be accurately detected.

[0007] However, the position of the roof in the longitudinal direction of the vehicle varies depending on the type of vehicle, and the length of the roof also varies. Further, in order to determine whether or not the vehicle has cleared the height limit value, it is necessary to accurately measure not only the roof height but also the height of the loaded luggage and the like. Therefore, it is difficult to accurately determine whether or not any vehicle has cleared the height limit value by only extracting edges along the length direction of a portion of the vehicle as in the device described in the above publication. It is.

The present invention has been made in view of the above-mentioned problems. A plurality of image pickup means generate images each of which captures the entire image of a vehicle, and each image has
An object of the present invention is to perform a three-dimensional measurement process using edges in the width direction that accurately represents the characteristics of a vehicle, thereby accurately measuring the height of various vehicles to avoid danger.

[0009]

According to the first aspect of the present invention, there is provided an apparatus for measuring a height of a vehicle , comprising at least one apparatus.
The observation area is a space large enough to contain the vehicles
A plurality of imaging means arranged obliquely above the observation area so that the entire observation area is included in the field of view, and on an image obtained by imaging the observation area by each imaging means,
Edge detection means for detecting edges along the width direction of the vehicle, and three-dimensional measurement for calculating three-dimensional coordinates of characteristic points of the vehicle by associating each edge detected by the edge detection means between images. Means for recognizing the height of the vehicle based on the measurement result of the three-dimensional measuring means.

According to a second aspect of the present invention, there is provided a system for monitoring a vehicle traveling on a road, wherein the vehicle monitoring system according to the second aspect includes at least one vehicle on the road.
The observation area is a space large enough to contain the vehicles
A plurality of image pickup units disposed obliquely above the observation region so that the entire observation region is included in the field of view; an edge detection unit similar to the first embodiment;
A recognition unit; and an output unit that outputs a recognition result by the recognition unit to the outside.

According to the third aspect of the present invention, the output means outputs predetermined warning information when the recognition means recognizes that the height of the vehicle exceeds a predetermined threshold value.

[0012] vehicle monitoring system according to the invention of claim 4, similar plurality of image pickup means in claim 2, the edge detection means, three-dimensional measurement unit, in addition comprising recognizing means, at least one of said image pickup means A vehicle specifying unit that generates information for specifying a vehicle to be subjected to the three-dimensional measurement process, using an image obtained by imaging the observation region by an individual or another imaging unit; and the recognition unit. Output means for outputting the result of the vehicle height recognition by the vehicle identification information and the vehicle identification information generated by the vehicle identification means to the outside.

According to the present invention, the output means outputs predetermined warning information and vehicle identification information when the recognition means recognizes that the height of the vehicle exceeds a predetermined threshold value. It is composed of

[0014]

According to the present invention, it is possible to include at least one vehicle.
The difference in space as a observation area, each imaging means, before each
By arranging and capturing an image obliquely above the observation region so that the entire observation region is included in the field of view, it is possible to capture the entire image of the vehicle in the observation region. In general, in the image of a vehicle, edges in the width direction are more dominant than in the length direction. However, since the whole image is obtained by observing the vehicle from obliquely above, many edges in the width direction are used. Contains. Therefore, by performing the three-dimensional measurement processing by associating the edge of the vehicle in the width direction on each image, it is possible to obtain three-dimensional coordinates of many feature points over the entire vehicle. Regardless of the presence or absence, the height of the vehicle can be accurately recognized.

According to the second aspect of the present invention, the same measurement processing is performed for a vehicle traveling on a road, and the recognition result of the vehicle height is output to the outside. Therefore, the height of a passing vehicle is restricted. It is possible to check the presence or absence of vehicles exceeding the limit value at a certain point.

According to the fourth aspect of the present invention, information for specifying a vehicle to be subjected to three-dimensional measurement is generated by using an image obtained by imaging the observation area, and the specific information is used as the vehicle height. Is output together with the recognition result, so that it is possible to specify which vehicle has exceeded the height limit value.

According to the third and fifth aspects of the present invention, when the recognized vehicle height exceeds a predetermined threshold value, predetermined warning information is output, so that the driver of the vehicle or the vehicle following the driver is output. It is possible to notify the driver of danger. According to the fifth aspect of the present invention, the specific information of the vehicle is also notified at the same time, so that the danger can be notified to the corresponding vehicle and the following vehicle more reliably.

[0018]

FIG. 1 shows an example of installation of a vehicle monitoring system according to an embodiment of the present invention. This vehicle monitoring system
At a position in front of the tunnel TN where the height is limited, a vehicle whose vehicle height exceeds the limit value is detected and warning information is output. The road has a two-lane configuration with one lane each way, and a pillar 4 is provided near the lane 5 on the traveling direction side to the tunnel TN.
Is installed, and two cameras 1a, 1
b and the control device 2 are supported below. The display panel 3 is supported at the uppermost position of the column 4 in the width direction of the road RD. It should be noted that 35 in FIG.
Is a display panel for fixedly displaying the height limit value, instead of the display panel 30 shown in FIG.

Each of the cameras 1a and 1b is vertically supported by a supporting member (not shown). The cameras 1a and 1b are directed to an observation area downstream of a support position by a predetermined distance so that the entire observation area is included in each field of view. It is deployed with a predetermined depression angle. Here, the observation area means a three-dimensional space of a size that can sufficiently include at least one vehicle of each conceivable vehicle type on the lane 5.
In this embodiment, cameras having the same focal length are used as the cameras 1a and 1b, and the cameras 1a and 1b are used so that edge association processing and three-dimensional coordinate calculation processing described later are easily performed. The optical axis is adjusted to be parallel.

The control device 2 sequentially captures image data from each of the cameras 1a and 1b, performs a series of processes described later, and measures the height of a vehicle located in the observation area. As a result, when a measured value exceeding the height limit value of the tunnel TN is obtained, predetermined warning information is displayed on the display panel 3 and a driver of the measurement target vehicle is notified of danger.

FIG. 2 shows an electrical configuration of the control device 2, which includes image input units 6a and 6b, a height measurement unit 7, a warning information output unit 12, and the like. Note that the height measurement unit 7 and the warning information output unit 12 having the above-described configurations are actually realized by giving an algorithm for performing each process described below to a CPU of a computer.

The image input sections 6a and 6b correspond to the cameras 1a and 1b, respectively, and include an A / D conversion circuit for converting analog image data input from the cameras 1a and 1b into digital data. Is provided. The digitally converted image data is stored in an image memory (not shown).

The height measuring section 7 includes a feature extracting section 8, a three-dimensional measuring section 9, a vehicle recognizing section 10, a height determining section 11, and the like. The feature extraction unit 8 includes the cameras 1a, 1
b, which extracts edges forming features such as the outline of the vehicle from the input image from b. In this case, in order to accurately extract the features of the vehicle, the vehicle edge is extracted from among the extracted edges. Only edges along the width direction are left to be processed.

After associating each selected edge between images, the three-dimensional measuring unit 9 calculates, for each corresponding edge set, three-dimensional coordinates of a feature point corresponding to the edge in an actual space. . The vehicle recognizing unit 10 performs a matching process described later on the calculation result, and classifies each feature point for each vehicle. The height determination unit 11 determines the height of the vehicle located in the observation area using the height data of the feature points for each group, and the determined height is the height limit of the tunnel TN. When the value exceeds the value or when a height close to the limit value is obtained, display data of predetermined warning information is output from the warning information output unit 12 to the display panel 3.

FIG. 3 shows a series of procedures in the control device 2, and FIGS. 4 and 5 show detailed procedures of steps 3 and 7 in FIG. Hereinafter, a detailed control processing method related to vehicle monitoring will be described along the procedures shown in these figures and with reference to FIGS.

First, in step 1, the image data from each of the cameras 1a and 1b is digitally converted by each of the image input sections 6a and 6b and stored in the image memory.
Next, the feature extraction unit 8 scans each input image with an edge extraction filter to extract edge constituent points on the image. This extraction result is represented by a binary edge image in which each edge constituent point is a black pixel, and is stored in an edge image memory (not shown).

FIG. 6 shows an example of an input image, in which an image of a vehicle (a truck in the illustrated example) or a lane located in the observation area is generated. FIG. 7 shows an edge image generated by an edge extraction process on the input image, in which edges indicating the outline of a vehicle or a lane are extracted.

Further, the feature extracting unit 8 performs the following step 3
Then, for each edge image, only the edge in the vehicle width direction on the image is selected and left as a processing target. In this process, a mask of a predetermined size is sequentially scanned on the edge image, and a pixel corresponding to the center of the mask (hereinafter referred to as a “pixel of interest”) at each scanning position is an edge constituent point in the vehicle width direction. It is to determine whether or not.

The detailed procedure of step 3 shown in FIG. 4 is performed for each edge image.
In, the mask is set at the initial position on the image, and it is checked whether the pixel of interest is an edge constituent point (that is, a black pixel). If this determination is "NO", the mask is scanned by one pixel, and the search scanning is performed in the same manner until an edge composing point is found.

If it is determined at a certain point that the pixel of interest is an edge composing point, in the next step 3-2, pixels near the pixel of interest in the mask are checked. As a result, when it is determined that there is an edge composing point at the adjacent position, it is further checked in step 3-3 whether each edge composing point is continuous along the width direction of the road on the image.

If the determination in step 3-3 is "YES", the pixel of interest is kept as a black pixel and remains as a target of the subsequent measurement processing. On the other hand, if the determination in step 3-3 is "NO", that is, if the continuous direction of the edge composing points is not along the width direction of the road, the process proceeds to step 3-5, and the target pixel is set to white. Changed to pixels,
It is removed from subsequent processing. Step 3-2
Then, also when it is determined that another edge composing point is not continuous with the target pixel, the process proceeds to step 3-5, and the target pixel is changed to a white pixel.

Thereafter, the above processing is repeated for each scanning position until step 3-6 becomes "YES", whereby the edge image is changed to an image having only the edges along the vehicle width direction as pixels. You.

FIG. 8 shows the result of performing the above-described edge selection processing on the edge image of FIG. As described above, the edge selection processing also erases the edge corresponding to the lane in addition to the edge in the longitudinal direction and the vertical direction of the vehicle, so that the influence of noise is removed and the accuracy of the measurement processing can be improved.

When an edge along the width direction of the vehicle is selected on each edge image in this way, the process shifts to a measurement process by the three-dimensional measurement unit 9. First, the three-dimensional measuring unit 9
As a pre-process for calculating the dimensional coordinates, a process of associating each edge constituent point between images is performed (step 4).

FIG. 9 shows the principle of the associating process. In the figure, I _U and I _L represent original input images from the cameras 1a and 1b, respectively, and E _U and E _L represent these input images I _U and I _L , respectively.
_L shows an edge image obtained by performing the processing of steps 2 and 3 above. Illustrated example the point P _L on the edge image E _L corresponding to the lower side of the camera 1b, the upper camera 1a
On the corresponding edge image E _U of the, shows how to find P _U points representing the same feature point as the point P _L, first located epipolar on the line L of the edge image E _U on the point P _L All edge constituent points (indicated by x in the figure) are extracted as corresponding candidate points.

As described above, each camera 1a, 1b
Are arranged vertically and with their optical axes parallel, the epipolar line L is perpendicular to the x-axis, and the corresponding candidate points can be easily set.

[0037] followed three-dimensional measurement unit 9, the position of the point P _L of the input image I _L, sets the window W _L of a predetermined size centered on the point P _L, on the input image I _U Similarly, for each corresponding candidate point, centering on each point,
Setting the window W _U of the same size as the window W _L. By executing the following equation (1) for the window W _{U at} each position, the windows W _u , W
The difference DF of the image data between _L is calculated.

[0038] In still (1), g _L (x, y) also the luminance values of predetermined pixels in the window W _L, is g
_U (x, y) indicates a luminance value of a predetermined pixel in the window W _U , respectively. Also, i and j are variables for specifying the pixels in each window, and vary within a range according to the size of the window.

[0039]

(Equation 1)

[0040] Thus for each window W _U, the window W when the difference degree DF image data of the _L is calculated, the three-dimensional measuring unit 9 compares each calculated value, the window W _U degree of difference DF is minimized the center point of specifying as the corresponding points of the feature point P _L.

When the process of associating all the edge constituent points is completed in the same manner, the three-dimensional measuring unit 9 sets the coordinates (x, y _L ) (x, y _L ) of the corresponding feature points P _U and P _L between the images.
y _U ) and the parameters of the cameras 1a and 1b, based on the principle of triangulation, corresponding to the feature points P _L and P _U.
The dimensional coordinates are calculated (step 5).

As shown in FIG. 10, the spatial coordinate system on which the three-dimensional coordinate calculation process is performed has an origin O at the installation position of the support column 4, an X-axis in the width direction of the road RD, and a height direction in the road RD. The Y axis and the length direction are set as the Z axis.
In FIG. 10, B indicates the base line length between the cameras, F indicates the focal length of the lens of each camera, C _H indicates the height data of the lower camera 3b, and θ indicates the depression angle of the camera. Under these conditions, the three-dimensional coordinates (X, Y, Z) of the object point corresponding to the feature points P _L and P _U are expressed by the following (2) to (4).
It is calculated by the formula.

[0043]

(Equation 2)

[0044]

(Equation 3)

[0045]

(Equation 4)

When the three-dimensional coordinates are calculated for each set of corresponding feature points in this manner, the processing shifts to the processing of the vehicle recognition unit 10. In step 6, each feature point is plotted in the spatial coordinate system of FIG. 10, and a matching process is performed on the distribution pattern of these feature points using a three-dimensional model representing the vehicle shape of a plurality of vehicle types. By this processing, when there are a plurality of vehicles in the observation area, each feature point is separated for each vehicle and recognized as a feature point group for each vehicle.

Each of the three-dimensional models used here represents a representative three-dimensional shape of each vehicle type.
In step 6, a rough matching process is performed in consideration of individual differences in vehicle shape.

Next, the vehicle recognizing unit 10 determines the height of each vehicle by executing the procedure of FIG. 5 for each feature point group of each vehicle. This height determination processing is performed using each Y coordinate value of a group of feature points recognized as a vehicle. First, in step 7-1, the height as shown in FIG. A histogram of the data is created. Note that each frequency data of the histogram indicates the number of feature points included in each section when the Y coordinate is divided at every predetermined interval sp.

In the next step 7-2, the vehicle recognition unit 10
Is the variable H for temporarily setting the vehicle height, it initializes the value of the maximum value H _max on the horizontal axis of the histogram. If H and its frequency hist (H) are equal to or greater than predetermined thresholds th ₀ and th _hist , respectively, Step 7-
Steps 7-6 when both "3" and "7-4" become "YES".
Then, the value of H is determined as the height of the vehicle.

The threshold values th ₀ and th _hist are set to 3
If the frequency hist (H) is determined to be smaller than the threshold th _hist in step 7-4, the value of H is determined as an erroneous measurement value. Is assumed to be In this case, step 7-
After the transition to 5, the H is changed to the value one step lower, the determination process of step 7-3 and thereafter is performed again. If it is determined in step 7-3 that the value of H is smaller than the height threshold th ₀ , it is determined that an error has occurred in the matching processing, and the height data is “0”. A determination is made (step 7-7).

When the vehicle height of each vehicle recognized as described above is obtained, the heights are compared with predetermined threshold values th1 and th2 in steps 8 and 9. The threshold th
1 is a value close to the actual height limit value, and the threshold value th
2 is set slightly lower than this height limit value.

FIG. 12 shows a display example of warning information on the display panel. The warning information (A) shows the warning information when there is a measured value exceeding the threshold value th1, and the warning information (B) shows the warning information. And warning information when a measured value exceeding the threshold value th2 is obtained.

Therefore, if a measured value exceeding the threshold value th1 is obtained, the process proceeds from step 9 to step 10 to output warning information (A). If a measured value exceeding th2 is obtained, the process proceeds to step 11 and warning information (B) is output.

As described above, the cameras 1a and 1b generate an image capturing the entire observation region, and extract the edges in the width direction of the vehicle having a large amount of features on each image to perform three-dimensional measurement processing. As a result, the tallest part of the vehicle can be accurately detected and its height can be obtained.

In the above embodiment, warning information is output to the display panel 3 to notify the driver of danger by visual information. Instead, a communication device such as a beacon is installed. Alternatively, warning information may be transmitted to vehicles in the observation area.

FIG. 13 shows a support 4a at a position near the observation area.
An example is shown in which the communication device 14 is supported above the lane 5 by the struts 4a. In this case, 3
If the height of the vehicle is obtained by the dimension measurement processing, the position of the vehicle on the road is obtained, and warning information is transmitted when a vehicle exceeding the height limit approaches the support 4a. It is possible to reliably inform the driver of the danger. However, in order to realize this embodiment, it is assumed that a receiving device and a receiving information output device such as a monitor are provided in the vehicle.

Further, if a mechanism for specifying a vehicle whose vehicle height is determined to exceed the limit value is added to the configuration shown in FIGS. 1 and 13, the danger of the own vehicle can be more surely given to the driver of the vehicle. Can be notified.

FIG. 14 shows the configuration of the embodiment of FIG.
Further, FIG. 15 shows an example in which a third camera 1c for specifying a vehicle in the observation area is provided, and FIG. 15 shows a configuration of the control device 2 in FIG.

In FIG. 15, 2A indicates a main control unit for measuring the height of the vehicle and outputting warning information, and 2B indicates a second control unit for performing a process for specifying the vehicle. The main control section 2A has the same configuration as that of FIG. 2, but the configuration of the height measurement section 7 is omitted here.

The second control unit 2B includes an image input unit 6c for taking in an image from the camera 1c, and a vehicle identification unit 13 for performing a vehicle identification process using the input image. The vehicle identification unit 13 is configured to, for example, extract a vehicle license plate portion from an input image and recognize a vehicle number by a character recognition process. Alternatively, the color of the vehicle may be recognized by using a color television camera as the camera 1c, or the type of the vehicle may be recognized by performing a model matching process on a two-dimensional image.

The warning information output unit 12 of this embodiment is for inputting the processing result from the vehicle identification unit 13 in addition to the height measurement unit 7, and the height measurement unit 7 sets the height limit value of the tunnel TN. When a measured value exceeding the measured value is obtained, warning information including specific information of the vehicle to be measured is created and output to the communication device.

FIGS. 16 (1) and 16 (2) show examples of warning information displayed on the display device in the vehicle. FIG. 16 (1) shows vehicle identification information obtained by the vehicle number recognition process.
(2) includes vehicle identification information obtained by color recognition and pattern matching processing.

FIG. 17 shows an embodiment in which the configuration of FIG. 13 is further developed, and another column 4 is provided downstream of the column 4a.
b, and a second pillar 4b
Of the communication device 14A. According to this embodiment, when a vehicle exceeding the height limit value is found, the warning information is notified to the driver of the following vehicle in addition to the corresponding vehicle. Moves such as turns can be predicted and avoided in advance.

FIG. 18 shows the configuration of the control device 2 used in the embodiment of FIG. 17, and the main control unit 2A includes:
2 for outputting warning information to each of the communication devices 14 and 14A
Warning information output units 12A and 12B are provided. Other configurations are the same as those of the above-described embodiment, and the detailed description is omitted here.

In the embodiment shown in FIGS. 13 and 17,
Although the third camera 1c for vehicle identification is provided, the invention is not limited to this. One of the cameras 1a and 1b is guided to the second control unit 2B to perform the vehicle identification processing. You may.

In each of the embodiments shown here, one lane heading to the tunnel is to be observed, but the present invention is not limited to this, and a plurality of lanes can be observed by the cameras 1a and 1b. It is.

[0067]

According to the first aspect of the present invention, at least one
The observation area is a space large enough to include the vehicle
Te, a plurality of image pickup means, after generating an image captured the overall picture of a vehicle of the observation area by imaging each entire observation area diagonally above the observation area is arranged to be included in the visual field, Corresponding edges in the width direction of the vehicle between each image 3
Since the height of the vehicle is recognized by performing the dimension measurement processing, the height of the vehicle can be accurately recognized based on the three-dimensional coordinates of many feature points over the entire vehicle.

According to the second aspect of the present invention, the same measurement processing is performed on a vehicle traveling on a road, and the result of recognition of the vehicle height is output to the outside. It is possible to monitor the presence or absence of a vehicle exceeding the limit value at a point where the vehicle is traveling, thereby ensuring the safety of the traveling vehicle.

According to the fourth aspect of the present invention, information for specifying a vehicle to be subjected to three-dimensional measurement is generated by using an image obtained by imaging the observation area, and this specific information is used as the vehicle height. Is output together with the recognition result, so that it is possible to specify which vehicle has exceeded the height limit value,
The safety of the traveling vehicle can be ensured.

According to the third and fifth aspects of the present invention, when the recognized vehicle height exceeds the predetermined threshold, predetermined warning information is output, so that the driver of the vehicle or the vehicle following the driver is output. It is possible to notify the driver of danger. According to the fifth aspect of the present invention, the specific information of the vehicle is also notified at the same time, so that the danger can be notified to the corresponding vehicle and the following vehicle more reliably.

[Brief description of the drawings]

FIG. 1 is a perspective view showing an installation example of a vehicle monitoring system.

FIG. 2 is a block diagram illustrating a configuration of a control device in FIG. 1;

FIG. 3 is a flowchart illustrating a series of processing procedures of a control device.

FIG. 4 is a flowchart showing a detailed procedure of step 3 in FIG. 3;

FIG. 5 is a flowchart showing a detailed procedure of step 7 in FIG. 3;

FIG. 6 is an explanatory diagram illustrating an example of an input image.

FIG. 7 is an explanatory diagram illustrating an edge image generated from the input image of FIG. 6;

FIG. 8 is an explanatory diagram showing a result of selecting only the edge in the width direction of the vehicle from the edge image of FIG. 7;

FIG. 9 is an explanatory diagram showing a principle of a process of associating each edge constituent point.

FIG. 10 is an explanatory diagram showing an installation example of a spatial coordinate system.

FIG. 11 is an explanatory diagram illustrating an example of a height histogram.

FIG. 12 is an explanatory diagram illustrating an output example of warning information.

FIG. 13 is a perspective view showing another example of the vehicle monitoring system.

FIG. 14 is a perspective view showing another example of the vehicle monitoring system.

FIG. 15 is a block diagram showing a configuration of the control device of FIG.

FIG. 16 is an explanatory diagram showing an output example of warning information in the vehicle monitoring system of FIG. 14;

FIG. 17 is a perspective view showing another example of the vehicle monitoring system.

18 is a block diagram illustrating a configuration of the control device of FIG.

FIG. 19 is a perspective view showing a configuration of a conventional vehicle monitoring device.

[Explanation of symbols]

 1a, 1b, 1c Camera 2 Control device 7 Height measurement unit 12, 12A, 12B Warning information output unit 13 Vehicle identification unit

────────────────────────────────────────────────── ─── Continued on the front page (72) Yoshihiro Onoda, Investigator, Naoki Kajimoto, Omron Co., Ltd. JP-A-9-97335 (JP, A) JP-A-9-33232 (JP, A) Registered utility model 3039909 (JP, U) (58) Fields investigated (Int. Cl. ⁷ , DB name) G08G 1/00 -1/56

Claims (5)

(57) [Claims] 1. A device for measuring the height of the vehicle, amount of space that may include at least one vehicle
Is the observation area, and the observation area is obliquely above the observation area.
A plurality of imaging means arranged so that the entire measurement area is included in the field of view; and edge detection for detecting edges along the width direction of the vehicle on an image obtained by imaging the observation area by each imaging means. Means, three-dimensional measuring means for associating each edge detected by the edge detecting means between images to calculate three-dimensional coordinates of characteristic points of the vehicle, and a vehicle based on the measurement results of the three-dimensional measuring means. A vehicle height measuring device comprising: a recognition unit that recognizes a height of a vehicle. 2. A system for monitoring vehicles traveling on a road, comprising at least one vehicle on the road.
Observe the space of size as the observation area and diagonally above this observation area
On the other hand, a plurality of imaging means arranged so that the entire observation area is included in the field of view, and an edge along the width direction of the vehicle on an image obtained by imaging the observation area by each imaging means. Edge detecting means for detecting the vehicle, three-dimensional measuring means for calculating the three-dimensional coordinates of the characteristic points of the vehicle by associating each edge detected by the edge detecting means between images, and the three-dimensional measuring means A vehicle monitoring system, comprising: recognition means for recognizing the height of a vehicle based on the measurement result of (1); and output means for outputting the recognition result by the recognition means to the outside. 3. The output means, when it is recognized that the height of the vehicle exceeds a predetermined threshold by the recognition means,
The vehicle monitoring system according to claim 2, which outputs predetermined warning information. 4. A system for monitoring vehicles traveling on a road, which may include at least one vehicle on the road.
Observe the space of size as the observation area and diagonally above this observation area
On the other hand, a plurality of imaging means arranged so that the entire observation area is included in the field of view, and an edge along the width direction of the vehicle on an image obtained by imaging the observation area by each imaging means. Edge detecting means for detecting the position of the vehicle; three-dimensional measuring means for calculating the three-dimensional coordinates of the characteristic points of the vehicle by associating each edge detected by the edge detecting means with an image; A recognition unit for recognizing the height of the vehicle based on the measurement result, and an image obtained by imaging the observation area by at least one of the imaging units or another imaging unit, and performing the three-dimensional measurement. A vehicle identification unit for generating information for identifying a vehicle to be processed, a vehicle height recognition result by the recognition unit, and vehicle identification information generated by the vehicle identification unit are output to the outside. Vehicle monitoring system comprising and an output means for. 5. The output means, when the recognition means recognizes that the height of the vehicle exceeds a predetermined threshold,
The vehicle monitoring system according to claim 4, wherein predetermined warning information and vehicle identification information are output.