EP2084689B1 - Method and apparatus for determining the distance between two vehicles running along a road or motorway section, particularly in a tunnel - Google Patents

Method and apparatus for determining the distance between two vehicles running along a road or motorway section, particularly in a tunnel Download PDF

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Publication number
EP2084689B1
EP2084689B1 EP06832321A EP06832321A EP2084689B1 EP 2084689 B1 EP2084689 B1 EP 2084689B1 EP 06832321 A EP06832321 A EP 06832321A EP 06832321 A EP06832321 A EP 06832321A EP 2084689 B1 EP2084689 B1 EP 2084689B1
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vehicle
road
section
road section
image
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French (fr)
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EP2084689A1 (en
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Fabrizio Ferrari
Andrea Porcile
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Aitek SpA
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Aitek SpA
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/04Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules

Definitions

  • the present invention relates to a method for determining the distance between two vehicles running along a section of road or motorway, in particular inside a tunnel.
  • the invention relates to an apparatus for determining the distance between two vehicles running along a section of road or motorway, in particular inside a tunnel.
  • a method of the type specified above is known for example from Japanese Patent Application JP11328577 .
  • the highway code obliges vehicles running along roads and motorways to maintain a given safety distance, which varies according to road conditions and in particular according to the maximum allowable speed. Observing the safety distance contributes to improve safety and results in smoother-flowing traffic.
  • WO2005/069248 discloses a method for determining the distance between two vehicles moving one behind the other along a roadway section, as well as the speed of at least one vehicle, by evaluating recorded images.
  • the course of the roadway section is measured and defined in relation to the location of the camera
  • a first photograph of the two vehicles is taken by means of a camera
  • at least one additional, second photograph of the vehicles is taken on the roadway section at a given interval
  • the angles between the location of the camera and two markings that are provided on a vehicle at a given distance are measured on both photographs
  • the speed of at least one of the two vehicles is determined from the perspective change of the measured angles during this interval while taking into account the given photographic angle
  • a linear measure that is based on one vehicle and depends on the speed is inserted into at least one photograph, wherein this linear measure makes it possible to assess whether the distance between the two vehicles matches, lies below or exceeds a minimum distance corresponding to the measured speed.
  • Figure 1 schematically represents a section of road or motorway 10 of length S equal to the prescribed safety distance.
  • the references 1 and 2 respectively indicate a first vehicle and a second vehicle runing along the road section 10 in the direction indicated by the arrow A.
  • the first vehicle 1 (referred to in the following part of the description as the trailing vehicle) which is about to enter the road section 10 to be monitored is travelling in observance of the prescribed safety distance S only if the road section 10 is free, i.e. if no other vehicle is present at the same time along this section.
  • Figure 2 also shows a video camera 3 able to acquire an image of the road section S and to provide as output a video signal, and a processing unit 4 arranged to receive as input at pre-established time intervals the video signal provided by the video camera 3 and to process this video signal through digitization techniques so as to detect the possible presence of the leading vehicle 2 in the road section 10.
  • the processing unit 4 defines at each processing event the state of the road section 10 as free or occupied, depending on whether the presence of the leading vehicle 2 within the road section 10 has been detected or not at the moment when the trailing vehicle 1 enters the road section 10.
  • Figure 3 shows the field of view of the video camera 3, which is installed at a height H from the road surface and is oriented so as to form with its optical axis an angle ⁇ with respect to the horizontal.
  • the length of the effective monitoring area of the video camera 3 is indicated T
  • the height-limit for the detection of a vehicle by the artificial vision software associated with the video camera 3 is indicated Q.
  • the length T is less than the length of the portion of road actually framed by the video camera 3 and depends, in particular, on the height-limit Q.
  • the length T is not equal to but is less than the length S of the road section 10 to be monitored, since the safety distance is often such that the road section 10 cannot be monitored using a single video camera 3.
  • the road section 10 must therefore be subdivided into a plurality of subsections 12 of length T, each of which is monitored by a respective video camera 3.
  • Figure 4 illustrates how the road section 10 is preferably monitored according to the invention by a plurality of video cameras 3 (in the example illustrated, by four video cameras) linked to the processing unit 4, each of which is intended to monitor a single subsection 12 of length T (in the example illustrated, equal to a quarter of the distance S). Since the length T of the subsections 12 is less than the length of the portion of road actually framed by a single video camera 3, there is each time an overlapping of the fields of view of two adjacent video cameras.
  • the vehicle 1 is not in contravention, i.e. it is observing the prescribed safety distance S, if all the subsections 12 of length T are in the state defined above as free. However, it is sufficient for any one of the subsections 12 to be in the occupied state, due to the presence of the leading vehicle 2 in this subsection, for the vehicle 1 to be judged in contravention. From a logic point of view, it can therefore be said that the free/occupied state of the monitored road section 10 is given by the OR function of the free/occupied states of all the subsections 12.
  • the processing unit 4 is capable of detecting, by processing the video signals from the video cameras 3, the possible presence of the leading vehicle 2 in each of the subsections 12 monitored by the video cameras 3 at the moment of entry of the vehicle 1 into the road section 10 to be monitored.
  • the detection apparatus is also capable of providing a measurement of the distance kept by the trailing vehicle 1 with respect to the leading vehicle 2 at the moment when the contravention is established.
  • the measurement precision of the distance is obviously related to the length of the subsections into which the road section to be monitored is subdivided, i.e. to the number of video cameras 3 used, to improve the measurement precision the number of subsections 12 and therefore the number of video cameras 3 used could be increased. This would involve an increase in costs of the apparatus.
  • Each subsection 12 of length T is thus subdivided by the processing unit 4 into a plurality of cells 14 of equal length C, as shown in Figure 5 , and the processing unit 4 is capable of determining not only the subsection 12, but also the cell 14 of this subsection in which the leading vehicle 2 is located at the moment when the trailing vehicle 1 enters the road section 10.
  • the road section 10 is subdivided into four subsections 12, each of which is in turn subdivided into four cells 14 of length C equal to T/4.
  • the distance between the two vehicles 1 and 2 running within the road section 10 can therefore be determined on the basis of the following table: Occupied subsection 12 Occupied cell 14 Estimated interdistance 1 1 between 0 and C metres 2 between C and 2C metres 3 between 2C and 3C metres 4 between 3C and 4C metres 2 1 between 4C and 5C metres 2 between 5C and 6C metres 3 between 6C and 7C metres 4 between 7C and 8C metres 3 1 between 8C and 9C metres 2 between 9C and 10C metres 3 between 10C and 11C metres 4 between 11C and 12C metres 4 1 between 12C and 13C metres 2 between 13C and 14C metres 3 between 14C and 15C metres 4 between 15C and 16C metres
  • the interdistance measurement error can depend on the following factors: length S of the road section 10, number of subsections 12 into which the road section 10 is subdivided, length T of each subsection 12, number of cells 14 into which each subsection 12 its subdivided and length C of each cell 14.
  • the interdistance must be measured by always considering the value of the upper limit of the intervals indicated in the above table.
  • the measurement error. committed by considering the upper limit of the interval is equal to the error committed in the single subsection 12 in which the leading vehicle 2 has been detected. Within each cell 14, the measurements in the interval from 0 to C are approximated to the value C.
  • the distance between two vehicles in the road section to be monitored can therefore be estimated with an error that depends only on the number of cells that the image acquiring and processing system (video cameras 3 and processing unit 4) is capable of distinguishing within each subsection.
  • a further number plate recording video camera can be provided, not shown in the drawings, intended to acquire in the event of a contravention an image of the number plate of the vehicle 1 that is not observing the prescribed safety distance, which image is to be used as documentary evidence for the subsequent notification of the contravention by the traffic police forces.
  • the "assessing” event corresponds to the moment when a vesicle enters the road section 10 monitored by the apparatus; this event triggers the execution of the procedure for assessing a possible contravention due to a failure to observe the safety distance.
  • the "number plate recording” event corresponds to the moment when the vehicle in question reaches the optimal framing position for the number plate recording video camera; this event triggers the acquisition of the image of the number plate of the vehicle in case of a contravention.
  • the state of the first cell 14 of the first subsection 12 of the road section is used.
  • the passage of a vehicle through the first cell 14 causes the state of this cell to vary in time according to a characteristics square-wave profile: the "assessing" event causes the state of the first cell to change from free to occupied, since it corresponds to the instant when the vehicle enters the first cell, while the "number plate recording” event causes the state of the first cell to change from occupied to free, since it corresponds to the instant when the vehicle comes out of the first cell.
  • the rising edge of the square-wave profile i.e. the transition from the free state to the occupied state, indicates that the vehicle is entering the first cell.
  • the falling edge of the profile i.e. the transition from the occupied state to the free state, indicates that the vehicle is exiting the first cell.
  • the time in which the first cell remains in the occupied state depends on the length and speed of the vehicle and on the length C of the first cell.
  • the "assessing" and “number plate recording” events described above can be detected either by means of a video camera, advantageously the same video camera 3 intended to acquire the image of the first subsection 12, or by means of field devices (sensors) of different type from the video cameras, such as for example induction coils, laser sensors, photocells, etc.
  • the processing unit 4 has fundamentally the function of receiving the video signals from the video cameras 3 and processing these signals in order to identify the conditions of failure to observe the prescribed safety distance, to indicate any contravention, to acquire and make available the necessary documentary evidence for the subsequent notification to the driver of the charged vehicle.
  • the processing unit 4 manages at its input the video signals as follows.
  • the video signals from the video cameras 3 are processed by an artificial vision software to allow the identification of a vehicle within the road section 10 being monitored.
  • the video signal from the first video camera 3 (or from another field device, as specified above) in the driving direction A is used to detect when the "assessing" and "number plate recording” events occur.
  • the video signal from the number plate recording video camera is processed in order to acquire the number plate of the vehicle in contravention in order to identify it unambiguously.
  • Thins video camera is positioned in an appropriate manner so as to frame the number plate of the vehicle at the instant when it is exiting the first cell ("number plate recording" event).
  • the processing algorithm of the processing unit 4 therefore comprises the following steps. At the moment when the vehicle 1 enters the road section 10 being monitored, flagged by the occurrence of the "assessing" event, the processing unit 4 starts to scan the images from the video cameras 3 in order to identify any leading vehicles 2 within the road section 10. If the vehicle 2 is detected within the road section 10, i.e. in presence of a violation due to a failure to observe the safety distance, the processing unit 4 activates the number plate recording video camera to acquire an image of the number plate of the vehicle 1 in contravention. The processing unit 4 measures the distance of the trailing vehicle 1 from the leading vehicle 2 and stores the images acquired by the video cameras 3 at the moment of entry of the vehicle 1 into the road section 10.
  • the processing unit 4 acquires by means of the number plate recording video camera ' the image of the number plate of the vehicle in contravention. All the images stored by the processing unit are accompanied by an indication of the instant of acquisition, so as to provide complete and indisputable documentation of the contravention committed.

Abstract

The method comprises the operations of: acquiring by means of a plurality of video cameras (3) equally spaced along a road section (10) a plurality of images each relating to a respective subsection (12) of the road section (10); verifying the entry of a first vehicle (1) into the road section (10); processing the images of all the subsections of road (12) in order to check whether at the moment of entry of a first vehicle (1) into the road section (10) there is present within the section a second vehicle (2) which precedes the first vehicle (1) by a distance that is less than a prescribed safety distance; and acquiring and storing an image of the number plate of the first vehicle (1) if the presence of the second vehicle (2) within the road section (10) has been detected and the distance between the vehicles (1, 2) is less than the safety distance.

Description

  • The present invention relates to a method for determining the distance between two vehicles running along a section of road or motorway, in particular inside a tunnel.
  • According to another aspect, the invention relates to an apparatus for determining the distance between two vehicles running along a section of road or motorway, in particular inside a tunnel.
  • A method of the type specified above is known for example from Japanese Patent Application JP11328577 .
  • The highway code obliges vehicles running along roads and motorways to maintain a given safety distance, which varies according to road conditions and in particular according to the maximum allowable speed. Observing the safety distance contributes to improve safety and results in smoother-flowing traffic.
  • To check that the safety distance is being observed, it is necessary to provide for an automatic monitoring system capable of determining the distance between two running vehicles and of producing suitable documentary evidence in the event of a failure to observe the prescribed safety distance.
  • WO2005/069248 discloses a method for determining the distance between two vehicles moving one behind the other along a roadway section, as well as the speed of at least one vehicle, by evaluating recorded images. According to this known method, the course of the roadway section is measured and defined in relation to the location of the camera, a first photograph of the two vehicles is taken by means of a camera, at least one additional, second photograph of the vehicles is taken on the roadway section at a given interval, the angles between the location of the camera and two markings that are provided on a vehicle at a given distance are measured on both photographs, the speed of at least one of the two vehicles is determined from the perspective change of the measured angles during this interval while taking into account the given photographic angle, and a linear measure that is based on one vehicle and depends on the speed is inserted into at least one photograph, wherein this linear measure makes it possible to assess whether the distance between the two vehicles matches, lies below or exceeds a minimum distance corresponding to the measured speed.
  • It is an object of the present invention to provide a method for determining the distance between two vehicles running along a section of road or motorway which is simple to implement and makes it possible to easily identify a vehicle travelling without observing the safety distance prescribed on that section.
  • According to another aspect, it is an object of the present invention to provide an apparatus for determining the distance between two vehicles running along a section of road or motorway which is simple and reliable in operation and is not too costly.
  • These and other objects are fully achieved according to the invention by virtue of a method as indicated in independent Claim 1 and by virtue of an apparatus as indicated in independent Claim 12.
  • The features and advantages of the invention will become clear from the following detailed description, which is given purely by way of non-limiting example with reference to the appended drawings, in which:
    • Figure 1 schematically represents a condition of observance of the safety distance between two vehicles running along a section of road or motorway;
    • Figure 2 schematically represents a condition of non observance of the safety distance between two vehicles running along a section of road or motorway;
    • Figure 3 schematically represents a video camera forming part of the apparatus for determining the distance between two vehicles according to the invention and the associated field of view;
    • Figure 4 schematically represents a plurality of video cameras forming part of the apparatus for determining the distance between two vehicles according to the invention, where the section of road to be monitored is subdivided into a plurality of subsections;
    • Figure 5 schematically represents a subsection subdivided into a plurality of cells;
    • Figure 6 shows a sequence of images provided by the video cameras of the apparatus according to the invention in the event that the safety distance between two vehicles running along a section of road inside a tunnel is not observed; and
    • Figure 7 shows the image provided by the number plate recording video camera of the apparatus according to the invention.
  • Figure 1 schematically represents a section of road or motorway 10 of length S equal to the prescribed safety distance.. The references 1 and 2 respectively indicate a first vehicle and a second vehicle runing along the road section 10 in the direction indicated by the arrow A. The first vehicle 1 (referred to in the following part of the description as the trailing vehicle) which is about to enter the road section 10 to be monitored is travelling in observance of the prescribed safety distance S only if the road section 10 is free, i.e. if no other vehicle is present at the same time along this section.
  • If on the other hand, as shown in Figure 2, when the trailing vehicle 1 enters the road section 10 the second vehicle 2 (referred to in the following part of the description as the leading vehicle) is still within the road section 10, then the distance between the two vehicles, indicated D in Figure 2, is less than the safety distance S. The trailing vehicle 1 is therefore in contravention.
  • Figure 2 also shows a video camera 3 able to acquire an image of the road section S and to provide as output a video signal, and a processing unit 4 arranged to receive as input at pre-established time intervals the video signal provided by the video camera 3 and to process this video signal through digitization techniques so as to detect the possible presence of the leading vehicle 2 in the road section 10. The processing unit 4 defines at each processing event the state of the road section 10 as free or occupied, depending on whether the presence of the leading vehicle 2 within the road section 10 has been detected or not at the moment when the trailing vehicle 1 enters the road section 10.
  • Figure 3 shows the field of view of the video camera 3, which is installed at a height H from the road surface and is oriented so as to form with its optical axis an angle θ with respect to the horizontal. The length of the effective monitoring area of the video camera 3 is indicated T, while the height-limit for the detection of a vehicle by the artificial vision software associated with the video camera 3 is indicated Q. As brought out in Figure 3, the length T is less than the length of the portion of road actually framed by the video camera 3 and depends, in particular, on the height-limit Q.
  • In general, the length T is not equal to but is less than the length S of the road section 10 to be monitored, since the safety distance is often such that the road section 10 cannot be monitored using a single video camera 3. The road section 10 must therefore be subdivided into a plurality of subsections 12 of length T, each of which is monitored by a respective video camera 3.
  • To this end, Figure 4 illustrates how the road section 10 is preferably monitored according to the invention by a plurality of video cameras 3 (in the example illustrated, by four video cameras) linked to the processing unit 4, each of which is intended to monitor a single subsection 12 of length T (in the example illustrated, equal to a quarter of the distance S). Since the length T of the subsections 12 is less than the length of the portion of road actually framed by a single video camera 3, there is each time an overlapping of the fields of view of two adjacent video cameras.
  • As already mentioned earlier, at the moment when the vehicle 1 is about to enter the monitored road section 10, the vehicle 1 is not in contravention, i.e. it is observing the prescribed safety distance S, if all the subsections 12 of length T are in the state defined above as free. However, it is sufficient for any one of the subsections 12 to be in the occupied state, due to the presence of the leading vehicle 2 in this subsection, for the vehicle 1 to be judged in contravention. From a logic point of view, it can therefore be said that the free/occupied state of the monitored road section 10 is given by the OR function of the free/occupied states of all the subsections 12.
  • Therefore, if it is necessary simply to detect the condition of contravention due to a failure to observe the safety distance, it is sufficient for the processing unit 4 to be capable of detecting, by processing the video signals from the video cameras 3, the possible presence of the leading vehicle 2 in each of the subsections 12 monitored by the video cameras 3 at the moment of entry of the vehicle 1 into the road section 10 to be monitored.
  • According to a further advantageous aspect of the invention, the detection apparatus is also capable of providing a measurement of the distance kept by the trailing vehicle 1 with respect to the leading vehicle 2 at the moment when the contravention is established.
  • Since the measurement precision of the distance is obviously related to the length of the subsections into which the road section to be monitored is subdivided, i.e. to the number of video cameras 3 used, to improve the measurement precision the number of subsections 12 and therefore the number of video cameras 3 used could be increased. This would involve an increase in costs of the apparatus.
  • To remedy this problem, it is preferable to turn rather to more sophisticated video processing techniques. Each subsection 12 of length T is thus subdivided by the processing unit 4 into a plurality of cells 14 of equal length C, as shown in Figure 5, and the processing unit 4 is capable of determining not only the subsection 12, but also the cell 14 of this subsection in which the leading vehicle 2 is located at the moment when the trailing vehicle 1 enters the road section 10.
  • In the example illustrated in Figure 5, the road section 10 is subdivided into four subsections 12, each of which is in turn subdivided into four cells 14 of length C equal to T/4. The distance between the two vehicles 1 and 2 running within the road section 10 can therefore be determined on the basis of the following table:
    Occupied subsection 12 Occupied cell 14 Estimated interdistance
    1 1 between 0 and C metres
    2 between C and 2C metres
    3 between 2C and 3C metres
    4 between 3C and 4C metres
    2 1 between 4C and 5C metres
    2 between 5C and 6C metres
    3 between 6C and 7C metres
    4 between 7C and 8C metres
    3 1 between 8C and 9C metres
    2 between 9C and 10C metres
    3 between 10C and 11C metres
    4 between 11C and 12C metres
    4 1 between 12C and 13C metres
    2 between 13C and 14C metres
    3 between 14C and 15C metres
    4 between 15C and 16C metres
  • Based on what has been explained above, the interdistance measurement error can depend on the following factors: length S of the road section 10, number of subsections 12 into which the road section 10 is subdivided, length T of each subsection 12, number of cells 14 into which each subsection 12 its subdivided and length C of each cell 14. To make the measurement of the interdistance as favourable as possible for the monitored vehicle, the interdistance must be measured by always considering the value of the upper limit of the intervals indicated in the above table. The measurement error. committed by considering the upper limit of the interval is equal to the error committed in the single subsection 12 in which the leading vehicle 2 has been detected. Within each cell 14, the measurements in the interval from 0 to C are approximated to the value C.
  • Indicating P the real position of the vehicle 2 in a given cell 14, the measurement error will be: E = C - P
    Figure imgb0001
  • In the interval (0, C) the average measurement error can be calculated as: . E = 1 C 0 C C - x dx = 1 C Cx - 1 2 x 2 | 0 C = C 2
    Figure imgb0002
  • This error has to be normalised to the length T of the subsection 12, which is by definition equal to the number of cells 14, indicated by M, multiplied by the length C of each cell. The average measurement error is therefore given by the following relationship: E m = E T = C 2 MC = 1 2 M
    Figure imgb0003
  • With the method and the apparatus according to the invention, the distance between two vehicles in the road section to be monitored can therefore be estimated with an error that depends only on the number of cells that the image acquiring and processing system (video cameras 3 and processing unit 4) is capable of distinguishing within each subsection.
  • In addition to the video cameras 3 for acquiring the images of the individual subsections 12, a further number plate recording video camera can be provided, not shown in the drawings, intended to acquire in the event of a contravention an image of the number plate of the vehicle 1 that is not observing the prescribed safety distance, which image is to be used as documentary evidence for the subsequent notification of the contravention by the traffic police forces.
  • To carry out the detection method according to the invention, two characteristic events are fundamental, which are indicated for convenience as the "assessing" event and the "number plate recording" event. The "assessing" event corresponds to the moment when a vesicle enters the road section 10 monitored by the apparatus; this event triggers the execution of the procedure for assessing a possible contravention due to a failure to observe the safety distance. The "number plate recording" event corresponds to the moment when the vehicle in question reaches the optimal framing position for the number plate recording video camera; this event triggers the acquisition of the image of the number plate of the vehicle in case of a contravention.
  • To recognise the abovementioned two events the state of the first cell 14 of the first subsection 12 of the road section is used. The passage of a vehicle through the first cell 14 causes the state of this cell to vary in time according to a characteristics square-wave profile: the "assessing" event causes the state of the first cell to change from free to occupied, since it corresponds to the instant when the vehicle enters the first cell, while the "number plate recording" event causes the state of the first cell to change from occupied to free, since it corresponds to the instant when the vehicle comes out of the first cell. In other words, the rising edge of the square-wave profile, i.e. the transition from the free state to the occupied state, indicates that the vehicle is entering the first cell. Conversely, the falling edge of the profile, i.e. the transition from the occupied state to the free state, indicates that the vehicle is exiting the first cell. The time in which the first cell remains in the occupied state depends on the length and speed of the vehicle and on the length C of the first cell.
  • The "assessing" and "number plate recording" events described above can be detected either by means of a video camera, advantageously the same video camera 3 intended to acquire the image of the first subsection 12, or by means of field devices (sensors) of different type from the video cameras, such as for example induction coils, laser sensors, photocells, etc.
  • The processing unit 4 has fundamentally the function of receiving the video signals from the video cameras 3 and processing these signals in order to identify the conditions of failure to observe the prescribed safety distance, to indicate any contravention, to acquire and make available the necessary documentary evidence for the subsequent notification to the driver of the charged vehicle.
  • The processing unit 4 manages at its input the video signals as follows. The video signals from the video cameras 3 are processed by an artificial vision software to allow the identification of a vehicle within the road section 10 being monitored. In particular, the video signal from the first video camera 3 (or from another field device, as specified above) in the driving direction A is used to detect when the "assessing" and "number plate recording" events occur. The video signal from the number plate recording video camera is processed in order to acquire the number plate of the vehicle in contravention in order to identify it unambiguously. Thins video camera is positioned in an appropriate manner so as to frame the number plate of the vehicle at the instant when it is exiting the first cell ("number plate recording" event).
  • The processing algorithm of the processing unit 4 therefore comprises the following steps. At the moment when the vehicle 1 enters the road section 10 being monitored, flagged by the occurrence of the "assessing" event, the processing unit 4 starts to scan the images from the video cameras 3 in order to identify any leading vehicles 2 within the road section 10. If the vehicle 2 is detected within the road section 10, i.e. in presence of a violation due to a failure to observe the safety distance, the processing unit 4 activates the number plate recording video camera to acquire an image of the number plate of the vehicle 1 in contravention. The processing unit 4 measures the distance of the trailing vehicle 1 from the leading vehicle 2 and stores the images acquired by the video cameras 3 at the moment of entry of the vehicle 1 into the road section 10. Finally, as soon as the rear of the trailing vehicle 1 passes beyond the first cell ("number plate recording" event), the processing unit 4 acquires by means of the number plate recording video camera ' the image of the number plate of the vehicle in contravention. All the images stored by the processing unit are accompanied by an indication of the instant of acquisition, so as to provide complete and indisputable documentation of the contravention committed.
  • Naturally, the principle of the invention remaining the same, the embodiments and details of construction may be varied widely with respect to those described and illustrated purely by way of non-limiting example, without thereby departing from the scope of the invention as defined in the appended claims.

Claims (15)

  1. A method for determining whether the distance between two vehicles (1, 2) running along a section of road or motorway (10), in particular inside a tunnel, is less than a prescribed safety distance, comprising the operations of:
    a) acquiring an image of the road section (10) of length (S) equal to the prescribed safety distance;
    b) verifying the entry of a first vehicle (1) into the section;
    c) processing the image of the road section (10) in order to check whether at the moment of entry of a first vehicle (1) into the section there is present within the section a second vehicle (2) which precedes the first vehicle (1); and
    d) acquiring and storing an image of the number plate of the first vehicle (1) if the presence of the second vehicle (2) within the road section (10) has been detected and hence if the distance between said vehicles (1, 2) is less than the safety distance.
  2. A method according to Claim 1, wherein said operation a) is carried out by means of a plurality of video cameras (3) equally spaced along the road section (10), each of which is arranged to acquire the image of a respective subsection of road (12).
  3. A method according to Claim 2, wherein said operation d) is carried out by means of a special video camera that is distinct from the video cameras (3) arranged to each acquire the image of a respective subsection (12).
  4. A method according to either Claim 2 or Claim 3, wherein said operation b) is carried out by processing the image from a first video camera (3) arranged at the entry of the road section (10).
  5. A method according to either Claim 2 or Claim 3, wherein said operation b) is carried out using a signal from a special field device or sensor that is distinct from the video cameras (3) and arranged at the entry of the road section (10).
  6. A method according to any one of Claims 2 to 5, wherein said operation c) is carried out by processing the images from all the video cameras (3).
  7. A method according to any one of Claims 2 to 6, wherein said operation d) is carried out when the presence of the second vehicle (2) is detected from the image provided by any one of the video cameras (3).
  8. A method according to any one of Claims 2 to 7, additionally comprising the operation of
    e) providing a measurement of the distance between the first (1) and the second vehicle (2) based on the subsection of road (12) in which the presence of the second vehicle (2) has been detected.
  9. A method according to Claim 8, wherein said operation c) provides for the subdivision of each subsection (12) into a plurality of cells (14) of equal length (C) and the processing of the image of the subsection (12) in which the second vehicle (2) is present so as to determine in which cell (14) of this subsection (12) the second vehicle (2) is present, and wherein in operation e) the distance between the first (1) and the second vehicle (2) is measured on the basis of the cell (14) of the subsection of road (12) in which the presence of the second vehicle (2) has been detected.
  10. A method according to Claim 9, wherein said operation b) is carried out by considering the first cell (14) of the first subsection (12) of the road section (10).
  11. A method according to Claim 9, wherein said operation d) is carried out when the exit of the first vehicle (1) from the first cell (14) of the first subsection (12) of the road section (10) is detected.
  12. An apparatus for determining whether the distance between two vehicles (1, 2) running along a section of road or motorway (10), in particular inside a tunnel, is less than a prescribed safety distance, comprising:
    at least one video camera (3) arranged to acquire an image of the road section (10) of length (S) equal to the prescribed safety distance;
    detection means for detecting the entry of a first vehicle (1) into said section;
    a processing unit (4) arranged to process the image of the road section (10), provided by the at least one video camera (3), to check whether at the moment of entry of a first vehicle (1) into said section there is present within the section a second vehicle (2) which precedes the first vehicle (1);
    a number plate recording video camera arranged to acquire an image of the number plate of the first vehicle (1) if the presence of the second vehicle (2) within the road section (10) has been detected and hence if the distance between said vehicles (1, 2) is less than the safety distance; and
    storage means arranged to store the image of the number plate of the first vehicle (1).
  13. An apparatus according to Claim 12, comprising a plurality of video cameras (3) equally spaced along the road section (10), each of which is arranged to acquire the image of a respective subsection of road (12).
  14. An apparatus according to Claim 13, wherein the first of the video cameras (3) serves as detection means for detecting the entry of a first vehicle (1) into the road section (10).
  15. An apparatus according to Claim 12, wherein the detection means are formed by field devices or sensors that are distinct from said at least one video camera (3), such as induction coils, laser sensors or photocells.
EP06832321A 2006-11-15 2006-11-15 Method and apparatus for determining the distance between two vehicles running along a road or motorway section, particularly in a tunnel Active EP2084689B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/IT2006/000796 WO2008059538A1 (en) 2006-11-15 2006-11-15 Method and apparatus for determining the distance between two vehicles running along a road or motorway section, particularly in a tunnel

Publications (2)

Publication Number Publication Date
EP2084689A1 EP2084689A1 (en) 2009-08-05
EP2084689B1 true EP2084689B1 (en) 2010-09-29

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EP06832321A Active EP2084689B1 (en) 2006-11-15 2006-11-15 Method and apparatus for determining the distance between two vehicles running along a road or motorway section, particularly in a tunnel

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EP (1) EP2084689B1 (en)
AT (1) ATE483220T1 (en)
DE (1) DE602006017276D1 (en)
HK (1) HK1137561A1 (en)
WO (1) WO2008059538A1 (en)

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Publication number Priority date Publication date Assignee Title
PL3082119T3 (en) * 2015-04-15 2023-03-20 Vitronic Dr.-Ing. Stein Bildverarbeitungssysteme Gmbh Distance measurement of vehicles
US10501077B2 (en) * 2016-06-14 2019-12-10 Nissan Motor Co., Ltd. Inter-vehicle distance estimation method and inter-vehicle distance estimation device
CN110969895B (en) * 2018-09-30 2021-03-26 杭州海康威视数字技术股份有限公司 Vehicle distance detection method, device, system and server

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* Cited by examiner, † Cited by third party
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GB2231753A (en) * 1989-05-05 1990-11-21 Golden River Ltd Traffic incident monitoring with vido cameras
DE4235232A1 (en) * 1992-10-15 1994-04-21 Refit E V Verein Zur Regionalf Continuous determination of vehicle speeds and distances - using video-camera with vertical optical axis above road and successively timed exposures referred to uniformly spaced reference planes.
JP3981468B2 (en) 1998-05-14 2007-09-26 松下電器産業株式会社 Traffic condition measurement method by vehicle group speed
AT502315B1 (en) 2004-01-19 2007-10-15 Siemens Ag Oesterreich MOBILE, CAMERA-BASED SPACER AND SPEED GAUGE

Also Published As

Publication number Publication date
ATE483220T1 (en) 2010-10-15
EP2084689A1 (en) 2009-08-05
HK1137561A1 (en) 2010-07-30
DE602006017276D1 (en) 2010-11-11
WO2008059538A1 (en) 2008-05-22

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