JP2018180810A - Traffic violation detection device, system, traffic violation detection method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a traffic violation detection device and so forth that are capable of acquiring evidence required for proving traffic violation.SOLUTION: There are provided a detection part 101 for detecting occurrence of traffic violation; a route acquisition part 102 for acquiring a first moving route in a predetermined period according to a first vehicle that committed a traffic offense, and a second moving route in the predetermined period according to a peripheral vehicle of the first vehicle; a selection part 103 for selecting not less than one second vehicle from the peripheral vehicle in which an evidence-providing device capable of acquiring an evidence image for constituting evidence of the traffic violation made by the first vehicle is mounted, based on the acquired first moving route and the acquired second moving route; a proof acquisition part 104 for acquiring the evidence image by making a request for providing the evidence image to the evidence-providing device mounted in the selected second vehicle; and a recording part 105 for recording the evidence image acquired by the proof acquisition part 104.SELECTED DRAWING: Figure 3

Description

  The present disclosure relates to a traffic violation detection device, a system including the same, a traffic violation detection method, and a program.

  For example, Patent Document 1 proposes a traffic violation management system or the like that manages information on traffic violations using a captured image of a vehicle captured by an imaging device such as a camera. In patent document 1, the information required for the control of a traffic violation is managed efficiently by evaluating and managing the propriety and importance of verification of a traffic violation from the photography picture of a traffic violation detection device.

JP, 2016-130935, A

  However, in Patent Document 1 described above, there is a problem that the traffic violation can not be proved if the captured image used by the traffic violation detection device does not satisfy the condition necessary to prove the traffic violation, and the traffic violation can not be controlled. .

  The present disclosure has been made in view of the above-mentioned circumstances, and realizes a traffic violation detection device, an evidence providing device, a system, a traffic violation detection method, and a program capable of acquiring evidence necessary for proof of traffic violation. With the goal.

  A traffic violation detection device according to an aspect of the present disclosure includes a detection unit that detects occurrence of a traffic violation, and a first movement route of a first vehicle in a first vehicle in which the traffic violation has occurred and the periphery of the first vehicle. A route acquiring unit for acquiring a second movement route of the predetermined period in a surrounding vehicle which is one or more vehicles, and an evidence providing apparatus capable of acquiring an evidence image constituting evidence of the traffic violation performed by the first vehicle A selection unit for selecting one or more second vehicles based on the acquired first movement route and the second movement route from the surrounding vehicles on which the vehicle is mounted, and evidence to be mounted on the selected second vehicles The information processing apparatus comprises: a evidence acquisition unit that requests the provision device to provide the evidence image and acquires the evidence image; and a recording unit that records the evidence image acquired by the evidence acquisition unit.

  Note that these general or specific aspects may be realized by a system, a method, an integrated circuit, a computer program or a storage medium, and by any combination of a system, a method, an integrated circuit, a computer program and a storage medium It may be done.

  According to the traffic violation detection device and the like according to the present disclosure, it is possible to obtain the evidence necessary to prove the traffic violation.

FIG. 1 is a diagram showing an example of the configuration of a traffic violation detection system according to a first embodiment. FIG. 2 is a diagram showing an installation example of the configuration of the traffic violation detection system according to the first embodiment. FIG. 3 is a diagram showing an example of the configuration of the traffic violation detection apparatus according to the first embodiment. FIG. 4A is a diagram showing an example of a scene in which the traffic violation detection device shown in FIG. 3 detects the occurrence of a traffic violation. FIG. 4B is a view showing an example of an evidence image recorded by the recording unit shown in FIG. 3. FIG. 5 is a diagram showing an example of the configuration of the evidence providing apparatus according to the first embodiment. FIG. 6 is a sequence diagram showing an example of the operation of the traffic violation detection system according to the first embodiment. FIG. 7 is a flowchart showing details of the operation of S13 shown in FIG. FIG. 8 is a flowchart showing an example of the operation of S132 shown in FIG. FIG. 9A is a diagram showing an example of a table used by the selection unit according to the first embodiment. FIG. 9B is a diagram showing an example of a table used by the selection unit according to Embodiment 1. FIG. 10 is a flowchart showing an example of the operation of S134 shown in FIG. FIG. 11 is a diagram illustrating an example of the configuration of a traffic violation detection device according to a first modification. FIG. 12 is a flowchart showing details of the operation of S13 shown in FIG. 6 according to the first modification. FIG. 13 is a flowchart showing an example of the operation of S137 shown in FIG. FIG. 14A is a diagram illustrating an example of a scene in which the traffic violation detection device according to the second embodiment detects the occurrence of a traffic violation. FIG. 14B is a diagram showing an example of an evidence image recorded by the traffic violation detection device according to the second embodiment.

(Circumstances for obtaining one aspect of the present disclosure)
In the future, it is thought that unmanned traffic violation control devices such as road surveillance cameras or arrests of traffic violations by self-driving vehicles will spread. In order to detect a traffic violation by an unmanned traffic violation control device, certain evidence such as the image of the number of the vehicle that has made the traffic violation and the driver is required.

  However, as described above, in the traffic violation management system as proposed in Patent Document 1, the traffic violation is detected when the captured image used by the traffic violation detection device does not satisfy the condition necessary to prove the traffic violation. There is a problem that we can not prove the traffic violation and can not control traffic violations.

  Therefore, the inventors focused on the fact that there is a general vehicle equipped with a drive recorder for recording images of several seconds before and after rapid acceleration / deceleration. That is, it came to think of using the image of the drive recorder of the surrounding vehicle which exists in the vehicle which made the traffic violation as evidence for arresting the traffic violation.

  A traffic violation detection device according to an aspect of the present disclosure includes a detection unit that detects occurrence of a traffic violation, and a first movement route of a first vehicle in a first vehicle in which the traffic violation has occurred and the periphery of the first vehicle. A route acquiring unit for acquiring a second movement route of the predetermined period in a surrounding vehicle which is one or more vehicles, and an evidence providing apparatus capable of acquiring an evidence image constituting evidence of the traffic violation performed by the first vehicle A selection unit for selecting one or more second vehicles based on the acquired first movement route and the second movement route from the surrounding vehicles on which the vehicle is mounted, and evidence to be mounted on the selected second vehicles The information processing apparatus comprises: a evidence acquisition unit that requests the provision device to provide the evidence image and acquires the evidence image; and a recording unit that records the evidence image acquired by the evidence acquisition unit.

  This makes it possible to obtain the evidence necessary to prove a traffic violation.

  In addition, the evidence image may be one or more images that can identify at least one person of the owner, the driver, and the passenger of the first vehicle.

  In addition, the selection unit may be configured such that the positional relationship between each of the first vehicle and the surrounding vehicle in the predetermined period based on the first movement route and the second movement route, and each of the evidence providing devices mounted on the surrounding vehicle The second vehicle may be selected based on the imaging range.

  In addition, the predetermined period includes a predetermined period after the current time, and the selection unit is configured to calculate the current time among the surrounding vehicles based on the acquired first movement path and the second movement path of the acquired predetermined period. After that, the second vehicle on which the evidence providing device capable of photographing the first vehicle may be further selected.

  Furthermore, a determination unit that determines whether the traffic violation can be proved using the evidence image acquired by the evidence acquisition unit, further includes: the selection unit further including: When it is determined by the determination unit that one or more vehicles can be sequentially selected to request the evidence acquisition unit to provide the evidence image, and the evidence acquisition unit can be verified by the one or more evidence images acquired The selection of the second vehicle may be ended.

  Further, the selection unit may select the second vehicle in accordance with a priority indicating which one of the evidence providing devices mounted on each of the surrounding vehicles is to be preferentially selected.

  Further, the priority may be calculated based on the positional relationship, the imaging range, and an imaging angle of the first vehicle by each of the evidence providing devices mounted on the surrounding vehicles.

  Further, the priority may be calculated based on the time at which each of the evidence providing devices mounted on the surrounding vehicles shoots the first vehicle.

  Also, in order to achieve the above object, a system according to an aspect of the present disclosure is a system including a traffic violation detection device and an evidence providing device, wherein the traffic violation detection device detects the occurrence of a traffic violation. A detection unit, a first movement route of a predetermined period of the first vehicle that made the traffic violation, and a second movement route of the predetermined period of the peripheral vehicle that is one or more vehicles existing around the first vehicle And the second travel route acquired from the surrounding vehicle on which the evidence providing device capable of acquiring the evidence image constituting the evidence of the traffic violation performed by the first vehicle is installed. The selection unit for selecting one or more second vehicles based on the movement route, and the evidence providing device mounted on the selected second vehicle are requested to provide the evidence image, and the evidence is acquired for the evidence image Get And a recording unit for recording the evidence image acquired by the evidence acquisition unit, the evidence providing device acquiring the evidence image in response to a request from the traffic violation detection device. And a providing unit that provides the traffic violation detection device with the evidence image acquired by the evidence image acquisition unit.

  Note that the present disclosure is realized not only as an apparatus, but also as an integrated circuit including processing means included in such an apparatus, or as a method in which processing means constituting the apparatus are steps. May be implemented as a program that causes a computer to execute, or as information, data, or a signal that indicates the program. The programs, information, data, and signals may be distributed via a recording medium such as a CD-ROM or a communication medium such as the Internet.

  Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The embodiments described below each show a preferable specific example of the present disclosure. Numerical values, shapes, materials, components, arrangement positions and connection forms of components, steps, order of steps, and the like described in the following embodiments are merely examples, and are not intended to limit the present disclosure. Moreover, about the component in the following embodiment, the component which is not described in the independent claim which shows the highest concept of this indication is demonstrated as an arbitrary component which comprises a more preferable form.

Embodiment 1
[Configuration of traffic violation detection system 4]
FIG. 1 is a diagram showing an example of the configuration of a traffic violation detection system 4 according to the first embodiment. FIG. 2 is a diagram showing an installation example of the configuration of the traffic violation detection system 4 according to the first embodiment. In FIG. 2, a road 40, a traffic light 41, a central line 42, a stop line 43, a violating vehicle 10 traveling on the road 40, and one or more peripheral vehicles 20 are shown.

  A traffic violation detection system 4 shown in FIG. 1 includes a traffic violation detection device 1 and one or more evidence providing devices 2. The traffic violation detection device 1 and the one or more evidence providing devices 2 may communicate directly via the network 3 such as a wireless LAN (Local Area Network) or a server connected to the network 3 (not shown) You may communicate via.

  In the present embodiment, as shown in FIG. 2, the traffic violation detection device 1 is installed at a predetermined position at the intersection of the road 40 and is not fixed or moved. The traffic violation detection device 1 captures an image including a road 40, a traffic light 41, a violating vehicle 10 traveling on the road 40, and a surrounding vehicle 20 within the field of view, i.e., in the image capturing possible range. The evidence providing device 2 is mounted on a nearby vehicle 20 traveling on a road 40 shown in FIG. 2 and moves together with the nearby vehicle 20. Hereinafter, configurations of the traffic violation detection device 1 and the evidence providing device 2 will be described.

[Configuration of Traffic Violation Detection Device 1]
FIG. 3 is a diagram showing an example of the configuration of the traffic violation detection device 1 according to the first embodiment. FIG. 4A is a diagram showing an example of a scene in which the traffic violation detection device 1 shown in FIG. 3 detects the occurrence of a traffic violation. In FIG. 4A, regardless of the traffic light 41 indicating a red light, the violating vehicle 10 does not stop at the stop line 43 and enters the intersection of the road 40, that is, the violating vehicle 10 makes a traffic violation The scene is shown. In FIG. 4A, the same elements as in FIG. 2 are denoted by the same reference numerals, and the detailed description will be omitted.

  The traffic violation detection device 1 shown in FIG. 3 is, for example, a road surveillance camera installed at an intersection, and the detection unit 101, the route acquisition unit 102, the selection unit 103, the evidence acquisition unit 104, and the recording unit 105. , And a determination unit 106. Note that providing the determination unit 106 is not an essential component. That is, the traffic violation detection device 1 may not include the determination unit 106.

<Detection unit 101>
The detection unit 101 detects the occurrence of a traffic violation. The detection unit 101 detects the occurrence of a traffic violation based on the traffic rules and the movement of the vehicle, or detects the occurrence of a traffic violation based on an image of a driver of the vehicle. In the present embodiment, the detection unit 101 uses a camera or a radar such as LIDAR, for example, to ignore the red light and enter the intersection, or the vehicle has traveled beyond the speed limit, or is temporarily stopped. It detects the occurrence of traffic violation by detecting that it did not stop at the place where it is necessary. The detection unit 101 may detect the occurrence of a traffic violation by detecting that the vehicle has traveled in a prohibited place such as a one-way road, a bus-only travel lane, or a lane change prohibited travel lane, for example. In addition, the detection unit 101 may detect the occurrence of a traffic violation, for example, when the vehicle is parked at a place where parking is prohibited. The detection unit 101 may also detect the occurrence of a traffic violation by detecting that the driver is driving the vehicle while using the mobile phone based on the image of the driver of the vehicle.

  In the example illustrated in FIG. 4A, the detection unit 101 captures an image of the violating vehicle 10 and the surrounding vehicle 20a present in the image captureable area using, for example, a camera, and ignores the fact that the traffic light 41 indicates a red signal. The occurrence of a traffic violation is detected by detecting that the vehicle 10 has entered an intersection.

<Route acquisition unit 102>
The route acquisition unit 102 acquires a first movement route for a predetermined period in a first vehicle that has made a traffic violation and a second movement route for a predetermined period in a peripheral vehicle that is one or more vehicles existing around the first vehicle. Do.

  In the present embodiment, the route acquisition unit 102 estimates the movement route of the vehicle using the information obtained from the sensors, and accumulates the movement route, thereby acquiring the movement route of the vehicle in the desired period. Here, the sensor may be a camera, a LIDAR or a GPS (Global Position System) receiver. When the sensor is a camera, the route acquisition unit 102 estimates the movement route of the all vehicles by tracking all the vehicles in the field of view based on the image information of the cameras. When the sensor is LIDAR, the route acquisition unit 102 may estimate the movement routes of all the vehicles by tracking all the vehicles in the field of view based on the point cloud information of LIDAR. When the sensor is a GPS receiver that receives GPS information indicating the position of a vehicle, the route acquisition unit 102 uses GPS information indicating the position of all vehicles within a predetermined distance from the traffic violation detection device 1. It is sufficient to estimate the moving path of all the vehicles by tracking all the vehicles. The route acquisition unit 102 may acquire GPS information possessed by all vehicles within a predetermined distance range by using the Internet, narrow area communication of vehicles, or the like.

  In the example shown in FIG. 4A, the first vehicle corresponds to the violating vehicle 10. The route acquisition unit 102 includes a first movement route which is a movement route of the violating vehicle 10 in a predetermined period such as 5 seconds, and a second movement route which is a movement route of the surrounding vehicle 20a and the surrounding vehicle 20b in the predetermined period. get.

<Selecting part 103>
The selection unit 103 selects one or more second vehicles from among the surrounding vehicles on which the evidence providing device capable of acquiring the evidence image constituting the evidence of the traffic violation performed by the first vehicle is installed.

  Here, the second vehicle is one or more of the surrounding vehicles. The evidence image that constitutes the evidence of the traffic violation made by the first vehicle is one or more images in which at least a part of the evidence of the traffic violation has been taken.

  Also, evidence is evidence of traffic violations, in particular information that contributes to the identification of the offender. Therefore, the evidence image is one or more images that can identify at least one person of the owner, the driver and the passenger of the first vehicle. In addition, the conditions for proof of traffic violation differ depending on the application of the laws and regulations of the state or local government. For example, in the case of a country that controls a driver, it is a verification condition to specify only the driver, such as the presence or absence of the driver's image or picture. In the case of a country that controls only the owner of the vehicle, it is a proof condition to specify only the vehicle number (number). For example, in Japan, it is a proof condition that the number of a violating vehicle and the driver driving the violating vehicle can be specified in order to impose a surcharge on the driver of the violating vehicle instead of the owner of the violating vehicle. That is, the evidence in Japan can identify the number shown on the license plate attached to identify the first vehicle and the driver of the first vehicle. The evidence image may be any image that can identify the number of the violating vehicle and the face of the driver, but the evidence image may not be a single image. The evidence image may be composed of, for example, an image capable of identifying the number of the violating vehicle and an image captured of the face of the driver of the violating vehicle and capable of being identified by the driver.

  More specifically, the selection unit 103 determines the positional relationship between each of the first vehicle and the surrounding vehicles in a predetermined period based on the first movement route and the second movement route, and the evidence providing device 2 installed in each of the surrounding vehicles. The second vehicle may be selected based on the imaging range. The selection unit 103 may select the second vehicle in accordance with the priority indicating which one of the evidence providing devices mounted on each of the surrounding vehicles is to be preferentially selected. The priority is calculated based on the positional relationship, the imaging range, and the imaging angle of the first vehicle by each of the evidence providing devices mounted on the surrounding vehicles. By selecting the second vehicle using such priority, the selection unit 103 is capable of reliably providing more information (evidence) lacking in the verification among the surrounding vehicles. It can be selected preferentially as a vehicle. The priority may be further calculated based on the time at which each of the evidence providing devices mounted on the surrounding vehicles shoots the first vehicle. By further including time in the priority, the verification is performed such that the second vehicle gives priority to the peripheral vehicle that can currently photograph the first vehicle over the peripheral vehicles that can photograph the first vehicle in the past. It is possible to select a nearby vehicle as a second vehicle that is more likely to provide information necessary for the

  When the traffic violation detection device 1 includes the determination unit 106, the following selection method may be performed. That is, the selection unit 103 further sequentially selects one or more vehicles of the second vehicles, and requests the evidence acquisition unit 104 to provide an evidence image, and the one or more evidence images acquired by the evidence acquisition unit 104 The selection of the second vehicle may be ended when the determination unit 106 determines that the second vehicle can be verified.

  In the example shown to FIG. 4A, the case where the surrounding vehicle 20a and the surrounding vehicle 20b can not now image the violating vehicle 10 is shown now, and the selection part 103 was equipped with the evidence provision apparatus 2 which can acquire an evidence image. The surrounding vehicle 20a is selected as one of the surrounding vehicles. More specifically, in FIG. 4A, the selecting unit 103 determines that the violating vehicle 10 is moving based on the moving route of the surrounding vehicle 20a and the surrounding vehicle 20b and the moving route of the violating vehicle 10 in a predetermined period such as 5 seconds. An example is shown in which a nearby vehicle 20a, which is one of the nearby vehicles that can be acquired at a past time such as five seconds ago, is selected as an evidence image of a traffic violation made.

<Evidence Acquisition Unit 104>
The evidence acquiring unit 104 requests the evidence providing device mounted on the selected second vehicle to provide an evidence image, and acquires a evidence image. In the present embodiment, the evidence acquisition unit 104 requests the evidence providing device 2 mounted on the second vehicle selected by the selection unit 103 to provide an evidence image via the network 3. The evidence acquisition unit 104 acquires the requested evidence image from the evidence providing device 2 mounted on the second vehicle selected by the selection unit 103.

  In the example illustrated in FIG. 4A, the evidence acquiring unit 104 requests the evidence providing device 2 mounted on the peripheral vehicle 20a selected by the selecting unit 103 to provide evidence images at past times such as five seconds ago. To obtain the evidence image.

<Recording unit 105>
The recording unit 105 records the evidence image obtained by the request of the evidence acquisition unit 104. Note that the recording unit 105 may record a violation situation image that is an image indicating the traffic violation situation detected by the detection unit 101.

  FIG. 4B is a view showing an example of the evidence image 50 recorded by the recording unit 105 shown in FIG. FIG. 4B shows an example of the evidence image 50 captured in a state in which the driver 11 of the violating vehicle 10 and the number indicated by the license plate 12 of the violating vehicle 10 can be identified.

  In the example illustrated in FIG. 4A, the recording unit 105 records the evidence image 50 illustrated in FIG. 4B obtained by the request of the evidence acquisition unit 104.

<Judgment unit 106>
The determination unit 106 uses the evidence image acquired by the evidence acquisition unit 104 to determine whether a traffic violation can be proved. Note that, as described above, it is not essential that the traffic violation detection device 1 includes the determination unit 106. When the traffic violation detection device 1 includes the determination unit 106, the number of the evidence providing devices 2 requested by the evidence acquisition unit 104 to obtain the evidence image can be minimized, so that the communication load can be reduced.

  In the example illustrated in FIG. 4A, the evidence acquiring unit 104 can acquire the evidence image 50 illustrated in FIG. 4B by the surrounding vehicle 20a selected by the selecting unit 103. Therefore, the determining unit 106 determines the evidence image 50 acquired by the evidence acquiring unit 104. Determines that a traffic violation can be proved. Therefore, the selection unit 103 does not further select the surrounding vehicles 20a etc. other than the surrounding vehicle 20a.

[Configuration of Evidence Providing Device 2]
The evidence providing device 2 is, for example, a drive recorder. The evidence providing device 2 is mounted on each one of the surrounding vehicles as described above, and images the front of the surrounding vehicle, that is, the traveling direction. The evidence providing device 2 captures an image of the front of the surrounding vehicle while deleting a video that has passed a predetermined period of time, that is, one or more images. Hereinafter, the configuration of the evidence providing device 2 will be described by taking the case where the evidence providing device 2 is mounted on a second vehicle which is one of the surrounding vehicles as an example.

  FIG. 5 is a diagram showing an example of the configuration of the evidence providing device 2 according to the first embodiment.

  The evidence providing device 2 illustrated in FIG. 5 includes a evidence image acquiring unit 201 and a providing unit 202.

<Evidence image acquisition unit 201>
The evidence image acquisition unit 201 is an evidence image that constitutes evidence of a traffic violation made by a vehicle in response to an external request, wherein the evidence is one or more images of which at least a part of the evidence of the traffic violation has been photographed Get an image. In the present embodiment, the evidence image acquisition unit 201 is an evidence of a traffic violation made by the first vehicle from one or more images captured by the evidence providing device 2 in response to a request from the traffic violation detection device 1. Get evidence images that make up

  In the example illustrated in FIGS. 4A and 4B, the evidence image acquisition unit 201 is photographing the evidence providing device 2 mounted on the surrounding vehicle 20a in response to a request from the evidence acquisition unit 104 of the traffic violation detection device 1 From the above images, the evidence image 50 shown in FIG. 4B that constitutes the evidence of traffic violation made by the violating vehicle 10 is acquired.

<Provision Unit 202>
The providing unit 202 provides the evidence image acquired by the evidence image acquiring unit 201. In the present embodiment, the providing unit 202 provides the evidence image acquired by the evidence image acquisition unit 201 to the traffic violation detection device 1 via the network 3.

  In the example illustrated in FIGS. 4A and 4B, the providing unit 202 provides the traffic violation detection device 1 with the evidence image 50 illustrated in FIG. 4B acquired by the evidence image acquiring unit 201.

[Operation of traffic violation detection system 4]
Next, an operation outline of the traffic violation detection system 4 configured as described above will be described using FIG.

  FIG. 6 is a sequence diagram showing an example of the operation of the traffic violation detection system 4 according to the first embodiment.

  First, the traffic violation detection device 1 detects a traffic violation (S11). Specifically, the traffic violation detection device 1 detects the occurrence of a traffic violation based on traffic rules and the movement of the vehicle or based on an image of a driver of the vehicle. In the example shown in FIG. 4A, the traffic violation detection device 1 detects the occurrence of a traffic violation by detecting that the violating vehicle 10 has entered an intersection when the traffic light 41 indicates a red light.

  Next, the traffic violation detection device 1 acquires moving routes of the violating vehicle and the surrounding vehicles (S12). Specifically, the traffic violation detection device 1 acquires a first movement route of a predetermined period of the first vehicle that has made a traffic violation and a second movement route of the predetermined period of the surrounding vehicle of the first vehicle. In the example shown in FIG. 4A, for example, a first movement route which is a movement route of the violating vehicle 10 in a predetermined period such as 5 seconds, and a second movement route which is a movement route of the surrounding vehicle 20a and the surrounding vehicle 20b in the predetermined period. To get

  Next, the traffic violation detection device 1 selects the evidence providing device 2 and the time to request the provision of the evidence image (S13). Specifically, the traffic violation detection device 1 includes the positional relationship between each of the first vehicle and the surrounding vehicles in a predetermined period based on the acquired first movement route and the second movement route, and the evidence providing device mounted on each of the surrounding vehicles 2. Based on each of the imaging ranges, one or more evidence providing devices 2 capable of obtaining evidence images constituting evidence of traffic violation made by the first vehicle at the selected time are selected. And the surrounding vehicle by which each of the one or more evidence provision apparatuses 2 was mounted is selected as a 2nd vehicle. In the example shown to FIG. 4A, the traffic violation detection apparatus 1 selects the surrounding vehicle 20a as one of the surrounding vehicles by which the evidence provision apparatus 2 which can acquire an evidence image in the past predetermined time is mounted.

  The traffic violation detection device 1 determines whether the evidence providing device 2 for requesting provision of the evidence image is selected in S13 (S14). If it is selected (Yes in S13), the process proceeds to S15, and if it can not be selected (No in S13), the process ends.

  Next, the traffic violation detection device 1 requests the selected evidence providing device 2 to provide an evidence image (S15). Specifically, the traffic violation detection device 1 requests the evidence providing device 2 mounted on the selected second vehicle to provide an evidence image. In the example illustrated in FIG. 4A, the traffic violation detection device 1 requests the evidence providing device 2 mounted on the surrounding vehicle 20a to provide an evidence image.

  Next, the evidence providing device 2 receives the request of the traffic violation detection device 1 (S16), and acquires a evidence image (S17). In the present embodiment, the evidence providing device 2 is an evidence image that constitutes evidence of a traffic violation made by the first vehicle in response to a request from the traffic violation detection device 1, and at least a part of the evidence of the traffic violation is Acquire an evidence image that is one or more images taken. In the example illustrated in FIGS. 4A and 4B, the evidence providing device 2 mounted on the surrounding vehicle 20a is performed by the violating vehicle 10 from one or more images being photographed in response to a request from the traffic violation detection device 1 The evidence image 50 shown in FIG. 4B, which constitutes the evidence of traffic violation, is acquired.

  Next, the evidence providing device 2 transmits an evidence image (S18). In the present embodiment, the evidence providing device 2 provides the acquired evidence image to the traffic violation detection device 1. In the example shown in FIGS. 4A and 4B, the evidence providing device 2 provides the traffic violation detection device 1 with the obtained evidence image 50 shown in FIG. 4B.

  Next, the traffic violation detection device 1 records a record of the evidence image (S19). Specifically, the traffic violation detection device 1 records the evidence image acquired by requesting the evidence providing device 2 mounted on the selected surrounding vehicle. In the example shown to FIG. 4A and FIG. 4B, the traffic violation detection apparatus 1 records the evidence image 50 acquired from the evidence provision apparatus 2 mounted in the selected surrounding vehicle 20a.

  Next, the traffic violation detection device 1 determines whether or not the evidence image recorded in S19 can be verified (S20), and when it is determined that the evidence can not be proved (No in S20), returns to S13 and restarts the process. . On the other hand, when it is determined in S20 that the verification is possible (Yes in S20), the process is ended.

  When the traffic violation detection device 1 does not include the determination unit 106, the operation of No is always performed in S20, and the processing of S14 to S19 is performed on all the one or more evidence providing devices 2 selected in S13. Do.

[Operation of traffic violation detection device 1]
Next, details of the operation of the traffic violation detection device 1 according to the first embodiment will be described with reference to the drawings. In the following, the operation of S13 of FIG. 6, which is one of the characteristic operations of the traffic violation detection device 1 according to the first embodiment, will be described.

  FIG. 7 is a flowchart showing details of the operation of S13 shown in FIG.

  In S13, the traffic violation detection device 1 first selects the evidence providing device 2 requesting the provision of the evidence image at the current time (S131).

  Next, the traffic violation detection device 1 determines whether the evidence providing device 2 for requesting the provision of the evidence image has been selected (S132). If it is selected in S132 (Yes in S132), the current time is set as the time for requesting provision of evidence (S133).

  On the other hand, if the selection can not be made in S132 (No in S132), the evidence providing device 2 for requesting provision of the evidence image at the past time is selected (S134).

  Next, the traffic violation detection device 1 determines whether the evidence providing device 2 for requesting the provision of the evidence image has been selected (S135). If it is selected in S135 (Yes in S135), the past time is set as the time for requesting provision of evidence (S136), and the process is ended.

  On the other hand, when the selection is not made in S135 (No in S135), the process is ended.

  In FIG. 7, first, processing is performed to determine whether the evidence providing device 2 can be selected at the current time. This is because in consideration of the fact that the evidence providing device 2 holds the image held after a predetermined time has elapsed, priority is given to the case where the evidence image can be acquired more reliably.

  The details of the operation of S131 shown in FIG. 7 will be described below using FIGS. 8, 9A and 9B.

  FIG. 8 is a flowchart showing an example of the operation of S131 shown in FIG. 9A and 9B are diagrams showing an example of a table used by the traffic violation detection device 1 according to the first embodiment. The table shown in FIG. 9A indicates the types of evidence that can be acquired according to the imaging direction, and is held in advance by the traffic violation detection device 1. The shooting direction is an example of a shooting angle. The types of available evidence may be probabilistically indicated. Information on one or more evidence providing devices 2 is shown in the table shown in FIG. 9B. The vehicle ID is information for identifying each of the surrounding vehicles, and the imaging range is information indicating a viewing angle or the like of the imaging available range of the evidence providing device 2 or the like. The vehicle ID and the imaging range are information that is not changed after the traffic violation detection device 1 has acquired it once. The position, the direction, and the speed correspond to the GPS information held by the evidence providing device 2, and are information that is changed or updated when acquired by the traffic violation detection device 1. The selection unit 103 may hold the tables shown in FIGS. 9A and 9B in a storage unit (not shown) such as a memory.

  In S131, as shown in FIG. 8, the traffic violation detection device 1 first extracts the evidence providing device 2 for which the evidence image at the designated time has not been acquired (S1311). More specifically, the selection unit 103 extracts the evidence providing device 2 from which the evidence image at the current time, which is the designated time, has not been acquired, among the evidence providing devices 2 mounted on the surrounding vehicles.

  Next, the traffic violation detection device 1 determines whether the violating vehicle is within the imageable range in one of the extracted evidence providing devices 2 (S1312), and if it is within the imageable range (Yes in S1312), It is determined whether information missing for proof can be acquired (S1313). More specifically, the traffic violation detection device 1 includes, in one of the extracted evidence providing devices 2, a first movement route, which is a movement route of the violating vehicle 10 acquired by the route acquisition unit 102, the surrounding vehicle 20a, and the surroundings. The violating vehicle is photographed based on the positional relationship between the violating vehicle and the surrounding vehicles based on the second moving route which is the moving route of the vehicle 20b, and the photographing range and photographing angle of the evidence providing device 2 shown in FIG. 9B. Determine if it is within the possible range. Then, the traffic violation detection device 1 refers to the photographing direction and the obtainable evidence shown in FIG. 9A, and determines whether the evidence can be proved by the evidence that can be obtained by the evidence providing device 2.

  When it is determined in S1313 that the traffic violation detection device 1 can be proved by the evidence acquired by the evidence providing device 2 (Yes in S1313), the traffic violation detection device 1 adds the evidence providing device 2 to the selection candidate (S1314).

  If it is determined that the violating vehicle is not within the imageable range in the evidence providing device 2 in S1312 (No in S1312), and if it is determined that the evidence obtained by the evidence providing device 2 is not provable in S1313 ( No in S1313, returns to S1312. Then, in another one of the extracted evidence providing devices 2, the processing is performed from the processing of S1312.

  Next, when there is an element in the selection candidate, that is, the selection candidate is one or more (Yes in S1315), the traffic violation detection device 1 selects one evidence providing device 2 from the selection candidates (S1316), processing Finish. The method of selecting one from the selection candidates may be performed randomly or in accordance with the priority.

  On the other hand, when there is no element in the selection candidate in S1315 (No in S1315), the processing is ended.

  When the traffic violation detection device 1 does not include the determination unit 106, an operation of Yes is always performed in S1313.

  Further, although it has been described that one evidence providing device 2 is selected from the selection candidates in S1316 of FIG. Two or more evidence providing devices 2 may be selected from the selection candidates. For example, a combination of the evidence providing devices 2 mounted on the peripheral vehicle 20 capable of acquiring information lacking in proof may be determined, and two or more evidence providing devices 2 constituting the combination may be simultaneously selected. This makes it possible to simultaneously request acquisition of a plurality of evidence images.

  Next, the details of the operation of S134 shown in FIG. 7 will be described using FIG.

  FIG. 10 is a flowchart showing an example of the operation of S134 shown in FIG. Description will be made focusing on differences from FIG.

  In S134, as shown in FIG. 10, the traffic violation detection device 1 first designates, as the designated time, a past time in which the time is rewound for a predetermined time (S1341).

  Next, the traffic violation detection device 1 selects the evidence providing device 2 requesting the provision of the evidence image at the designated time (S1342). Specifically, in S1342, the same processing as S1311 to S1316 in FIG. 8 is performed on the assumption that the designated time is the past time. Since the processes of S1311 to S1316 have been described above, the description here is omitted.

  Next, the traffic violation detection device 1 determines whether the evidence providing device 2 for requesting the provision of the evidence image is selected (S1343). If it is not selected in S1343 (No in S1343), the process returns to S1341, and further, the time of the past time is further rewound for a predetermined time, and the process is performed again.

[Effects, etc.]
As described above, according to the present embodiment, by selecting a nearby vehicle which is considered to be capable of holding or acquiring information necessary for verification and requesting provision, unnecessary loads are not applied to other nearby vehicles. In cooperation with surrounding vehicles, it is possible to collect evidence of traffic violations. As a result, it is possible to realize the traffic violation detection device 1, the evidence providing device 2, the traffic violation detection system 4 and the traffic violation detection method capable of acquiring the evidence necessary to prove the traffic violation.

  More specifically, when the traffic violation detection device 1 according to the present embodiment detects a violating vehicle that has made a traffic violation, the camera of the evidence providing device mounted on the violating vehicle, the peripheral vehicle, the positional relationship, and the peripheral vehicle Select a surrounding vehicle to request the provision of an evidence image based on the field of view and the evidence necessary to establish a traffic violation. As described above, the traffic violation detection device 1 according to the present embodiment can pinpoint peripheral vehicles requested to provide evidence and collect evidence of traffic violations. That is, the traffic violation detection device 1 according to the present embodiment can collect evidence of traffic violation in cooperation with surrounding vehicles without applying unnecessary load to other surrounding vehicles. This can improve the possibility of proof of traffic violation.

  In addition, since the traffic violation detection device 1 according to the present embodiment can select surrounding vehicles that may be able to obtain evidence at the current time or the past time as well as the moment when the violating vehicle is detected, traffic violation Can further improve the possibility of proving.

  In addition, when the traffic violation detection device 1 according to the present embodiment can not acquire all the necessary evidence information in one of the surrounding vehicles, the traffic violation detecting device 1 inquires a plurality of vehicles until the necessary evidence is obtained. Collect evidence from multiple of them. As a result, the traffic violation detection device 1 of the present embodiment can further improve the possibility of proof of traffic violation.

  Moreover, although the traffic violation detection apparatus 1 of this Embodiment was demonstrated as a structure which is not equipped with the evidence provision apparatus 2, it does not restrict to this. The traffic violation detection device 1 itself may also include the evidence providing device 2 or may be installed together with one of the evidence providing devices 2 at a predetermined position where the traffic violation detection device 1 is installed.

(Modification 1)
Although the traffic violation detection device 1 according to the first embodiment is described not only for the moment when the violating vehicle is detected, but also for the case where it is possible to select a nearby vehicle that may be able to obtain evidence at the current time or the past time. Absent. You may select nearby vehicles that may be able to obtain evidence at a future time. Hereinafter, this case will be described as a first modification, focusing on differences from the first embodiment.

[Configuration of Traffic Violation Detection Device 1A]
FIG. 11 is a diagram showing an example of the configuration of a traffic violation detection device 1A according to the first modification. The same elements as those in FIG. 3 are denoted by the same reference numerals, and the detailed description will be omitted.

  The traffic violation detection apparatus 1A shown in FIG. 11 is different from the traffic violation detection apparatus 1 according to the first embodiment in the configuration of the route prediction unit 107, and the configurations of the route acquisition unit 102A and the selection unit 103A are different.

<Route prediction unit 107>
The route prediction unit 107 is based on the third travel route for a predetermined period from the current time of one or more vehicles within a predetermined range from the traffic violation detection device 1A, from the current time of one or more vehicles to a future fixed period Predict the fourth movement route of the minute. In the present modification, the route acquisition unit 102A stores the third travel route for the past fixed period from the current time of one or more vehicles within the predetermined range from the traffic violation detection device 1A. Then, the route prediction unit 107 predicts, based on the third movement route stored in the route acquisition unit 102A, the fourth movement route for a future fixed period from the current time of one or more vehicles.

  More specifically, the route prediction unit 107 predicts the future travel route based on the accumulated current and past travel routes in the predetermined period. For example, based on the premise that the vehicle performs constant velocity motion or constant acceleration motion within a period such as 5 seconds from the current time, the route prediction unit 107 determines the future based on the past travel route acquired by the route acquisition unit 102A. The movement route may be predicted. Further, the route prediction unit 107 may create a travel route model from the movement of a general vehicle, that is, the surrounding vehicle 20, and predict the future travel route in a period such as 5 seconds from the current time.

<Route acquisition unit 102A>
The route acquisition unit 102A acquires a first movement route and a second movement route in a predetermined period including the time when the detection unit 101 detects the occurrence of a traffic violation. Specifically, the route acquisition unit 102A estimates the travel route of the vehicle using the information obtained from the sensors, and stores the travel route of the current and past vehicles in the desired period by accumulating. In addition, the route acquisition unit 102A acquires the future travel route of the vehicle predicted by the route prediction unit 107. Thus, the route acquisition unit 102A acquires the first movement route and the second movement route in a predetermined period including the time when the detection unit 101 detects the occurrence of traffic violation and the time after the current time.

<Selecting part 103A>
Selection unit 103A further selects, based on the first movement route and the second movement route for a predetermined period, the second vehicle on which the evidence providing device capable of photographing the first vehicle after the current time is mounted among the surrounding vehicles. Do. Here, the predetermined period also includes a predetermined period after the current time. In the present modification, the selecting unit 103A determines the offending vehicle at a future time, for example, five seconds after the current time, based on the first movement route and the second movement route including the future movement route of a predetermined period after the current time. And, one of the surrounding vehicles is selected from the positional relationship between the surrounding vehicles and each of the surrounding vehicles in which the surrounding vehicles can photograph the violating vehicle.

[Operation of traffic violation detection device 1A]
Next, details of the operation of the traffic violation detection device 1 in the present modification will be described using the drawings. The outline of the operation of the traffic violation detection system of the present modification is as described with reference to FIG. Hereinafter, details of the operation of S13 in FIG. 6 in the modification will be described.

  FIG. 12 is a flowchart showing details of the operation of S13 shown in FIG. 6 according to the modification. The same elements as in FIG. 7 are assigned the same reference numerals. The flowchart shown in FIG. 12 is different from the flowchart shown in FIG. 7 in that the process of No in S135 is not completed but proceeds to S137. The other parts are the same as in FIG.

  If the traffic violation detection device 1A can not select the evidence providing device 2 requesting the provision of the evidence image in the past time in S135 of FIG. 12 (No in S135), the traffic violation detection device 1A requests the provision of the evidence image in the future time The evidence providing device 2 to be selected is selected (S137).

  Next, the traffic violation detection device 1A determines whether the evidence providing device 2 for requesting provision of the evidence image has been selected (S138). If it is selected in S138 (Yes in S138), the future time is set as the time for requesting provision of evidence (S139), and the process is ended.

On the other hand, when the selection is not made in S138 (No in S138), the process is ended.
In addition, in FIG. 12, it is determined whether or not the request for providing the evidence image at the future time is to be made last in the present time and the past time, which are cases where the evidence image can be acquired more reliably. It is to prioritize.

  The details of the operation of S137 shown in FIG. 12 will be described below using FIG.

  FIG. 13 is a flowchart showing an example of the operation of S137 shown in FIG. Hereinafter, differences from FIGS. 8 and 10 will be mainly described.

  In S137, the traffic violation detection device 1A, as shown in FIG. 13, first designates the future time in which the time is fast-forwarded for a fixed time as the designated time (S1371).

  Next, the traffic violation detection device 1A selects the evidence providing device 2 requesting the provision of the evidence image at the designated time (S1372). Specifically, in S1372, the same processing as S1311 to S1316 in FIG. 8 is performed, assuming that the designated time is the future time. Since the processes of S1311 to S1316 have been described above, the description here is omitted.

  Next, the traffic violation detection device 1A determines whether the evidence providing device 2 requested to provide the evidence image is selected (S1373). If it is not selected in S1373 (No in S1373), the process returns to S1371 and further fast-forwards the time of the future time for a further fixed time to redo the process.

[Effects, etc.]
As described above, according to this modification, it is possible to select a nearby vehicle that may possess or obtain information necessary for verification and request an offer without applying an unnecessary load to other nearby vehicles. In cooperation with surrounding vehicles, we can collect evidence of traffic violations. Thus, it is possible to realize the traffic violation detection device 1A, the evidence providing device 2, the traffic violation detection system 4 and the traffic violation detection method capable of acquiring the evidence necessary to prove the traffic violation.

  The traffic violation detection device 1A of this modification can select not only the moment at which a violating vehicle is detected but also a nearby vehicle that may be able to obtain evidence at the current time, the past time, or the future time. Can further improve the possibility of proving.

Second Embodiment
Although the traffic violation detection device 1 and the like in the first embodiment and the like are installed at a predetermined position at an intersection, for example, and are described as being fixed, that is, not moved, they may be moved. Hereinafter, this case will be described as a second embodiment, focusing on differences from the first embodiment.

  FIG. 14A is a diagram illustrating an example of a scene in which the traffic violation detection device 1 or the like according to the second embodiment detects the occurrence of a traffic violation. FIG. 14B is a diagram showing an example of an evidence image recorded by the traffic violation detection device 1 or the like according to the second embodiment. Elements similar to those in FIG. 2 and FIG. 4A are assigned the same reference numerals and detailed explanations thereof will be omitted.

  The traffic violation detection device 1 and the like according to the present embodiment is the same as that described in the first embodiment, the first modification, and the second modification, but is an automatically operated patrol vehicle such as a robot car shown in FIG. 14A. It is installed in the violation detection vehicle 30, and the moving point is different.

  Therefore, the traffic violation detection device 1 or the like installed in the violation detection vehicle 30 is an image within a moving field of view, that is, the road 40, the traffic light 41 and the violation vehicle 10 traveling in the road 40 existing in the imageable range shown in FIG. , An image including the surrounding vehicle 20 is taken.

  In the present embodiment, the traffic violation detection device 1 or the like, in the example illustrated in FIG. 14B, captures one or more images 51 indicating the violating vehicle 10 and the traffic light 41 when detecting the violating vehicle 10 that has made the traffic violation. Or, for example, the image is taken from a predetermined period before 5 seconds, for example. However, in the example shown to FIG. 14B, the imaging | photography direction which the said traffic violation detection apparatus 1 grade | etc., Can image | photograph is the back surface of the violating vehicle 10. FIG. That is, as shown in FIG. 14B, the traffic violation detection device 1 or the like can capture an image 51 which can identify the fact of traffic violation of signal ignoring the violating vehicle 10 and the number shown on the license plate 12 of the violating vehicle. The image which can identify the driver 11 of the violating vehicle 10 can not be taken.

  Therefore, the traffic violation detection device 1 or the like in the present embodiment is, for example, an image capable of specifying the driver 11 of the violating vehicle 10 at the current time, the past time or the future time from the surrounding vehicle 20a as in the first embodiment. , You need to get about the missing evidence image. Thereby, even when the driver 11 of the violating vehicle 10 can not be seen from the violation detection vehicle 30, it is possible to acquire an image of the driver 11 of the violating vehicle 10 from at least one of the surrounding vehicles 20 as a proof image lacking. The details are described in the first embodiment and the like, and therefore the description thereof is omitted here. Further, the traffic violation detection device 1 or the like only detects a traffic violation in which the signal of the violating vehicle 10 is ignored, and obtains an evidence image capable of specifying the number of the violating vehicle 10 and the driver 11 from at least one of the surrounding vehicles 20 You may

[Effects, etc.]
As described above, according to the present embodiment, by selecting a nearby vehicle that may possess or acquire information necessary for verification and requesting provision, it cooperates with the nearby vehicle to collect evidence of traffic violations. can do. As a result, it is possible to realize the evidence providing device 2, the evidence providing device 2, the traffic violation detection system 4, and the traffic violation detection method that can acquire the evidence necessary to prove the traffic violation.

  The traffic violation detection device 1 and the like according to the present embodiment proves the traffic violation by designating, as the pinpoint, a peripheral vehicle requested to provide information on the missing or all of the information constituting the evidence. You can get all the information you need or the missing information. As a result, the traffic violation detection device 1 and the like according to the present embodiment can acquire the evidence necessary to prove the traffic violation without applying unnecessary load to other surrounding vehicles, thus improving the possibility of the traffic violation proof. it can.

(Other modifications)
Although the traffic violation detection device, the evidence providing device, the system, and the like according to one or more aspects of the present disclosure have been described above, the present disclosure is not limited to this embodiment. Without departing from the spirit of the present disclosure, various modifications that may occur to those skilled in the art may be applied to the present embodiment, or a configuration constructed by combining components in different embodiments may be one or more of the present disclosure. It may be included within the scope of the embodiments. For example, the following cases are also included in the present disclosure.

  (1) Each of the above-described devices is specifically a computer system including a microprocessor, a ROM, a RAM, a hard disk unit, a display unit, a keyboard, a mouse and the like. A computer program is stored in the RAM or the hard disk unit. Each device achieves its function by the microprocessor operating according to the computer program. Here, the computer program is configured by combining a plurality of instruction codes indicating instructions to the computer in order to achieve a predetermined function.

  (2) Some or all of the components constituting each of the above-described devices may be configured from one system LSI (Large Scale Integration: large scale integrated circuit). The system LSI is a super-multifunctional LSI manufactured by integrating a plurality of components on one chip, and more specifically, a computer system including a microprocessor, a ROM, a RAM, and the like. . A computer program is stored in the RAM. The system LSI achieves its functions as the microprocessor operates in accordance with the computer program.

  (3) Some or all of the components constituting each of the above-described devices may be configured from an IC card or a single module that can be detached from each device. The IC card or the module is a computer system including a microprocessor, a ROM, a RAM, and the like. The IC card or the module may include the super multifunctional LSI described above. The IC card or the module achieves its function by the microprocessor operating according to the computer program. This IC card or this module may be tamper resistant.

  (4) The present disclosure may be the method described above. Further, the present invention may be a computer program that realizes these methods by a computer, or may be a digital signal composed of the computer program. Here, for example, the traffic violation detection method according to an aspect of the present disclosure includes a detection step of detecting the occurrence of a traffic violation, and a first movement of a first vehicle in a first vehicle in which the traffic violation is detected in the detection step. A route acquiring step of acquiring a second movement route of the predetermined period in the surrounding vehicle which is a route and one or more vehicles existing around the first vehicle, the first movement route acquired in the route acquiring step, and The one or more second vehicles are selected from the surrounding vehicles on which the evidence providing device capable of acquiring the evidence image constituting the evidence of the traffic violation made by the first vehicle is selected based on the second movement route. Requesting the evidence providing apparatus mounted on the second vehicle selected in the selecting step and the selecting step to provide the evidence image to acquire the evidence image Comprising an acquisition step, and a recording step of recording the evidence image obtained in the obtaining step. Also, for example, a program according to an aspect of the present disclosure includes a detection step of detecting occurrence of traffic violation, and a first movement route of the first vehicle in a first vehicle in which the traffic violation has been detected in the detection step and the first travel route. A route acquisition step of acquiring a second movement route of the predetermined period in a peripheral vehicle which is one or more vehicles existing around one vehicle, and the first movement route and the second movement route acquired in the route acquisition step Selecting at least one second vehicle from the surrounding vehicles on which the evidence providing device capable of acquiring an evidence image constituting the evidence of the traffic violation performed by the first vehicle is selected based on An acquisition system for requesting the evidence providing device mounted on the second vehicle selected in the selection step to provide the evidence image and acquiring the evidence image And-up, and a recording step of recording the evidence image obtained in the obtaining step, a program executed by a computer.

  Further, the present disclosure relates to a recording medium that can read the computer program or the digital signal by a computer, such as a flexible disk, a hard disk, a CD-ROM, an MO, a DVD, a DVD-ROM, a DVD-RAM, a BD (Blue-ray). It may be recorded on a (registered trademark) Disc), a semiconductor memory or the like. Further, the present invention may be the digital signal recorded on these recording media.

  Further, the present disclosure may transmit the computer program or the digital signal via a telecommunications line, a wireless or wired communication line, a network represented by the Internet, data broadcasting, and the like.

  In addition, the present disclosure may be a computer system including a microprocessor and a memory, the memory storing the computer program, and the microprocessor operating according to the computer program.

  In addition, it is implemented by another computer system that is independent by recording the program or the digital signal on the recording medium and transferring it, or transferring the program or the digital signal via the network or the like. You may.

  (5) The above embodiments may be combined.

  (6) In the above embodiment, the observation area of the first sensor and the second sensor is described as a two-dimensional area to simplify the description, but it may be a three-dimensional area.

  The present disclosure can be applied to, for example, a traffic violation detection device, an evidence providing device, a system, a traffic violation detection method, and a program that are used for an autonomous vehicle, a drive recorder, a traffic monitoring system, and the like.

1, 1A Traffic Violation Detection Device 2 Evidence Providing Device 3 Network 4 Traffic Violation Detection System 10 Violation Vehicle 11 Driver 12 License Plate 20, 20a, 20b Peripheral Vehicle 40 Road 41 Traffic Signal 42 Central Line 43 Stop Line 50 Evidence Image 101 Detection Unit 102, 102A path acquisition unit 103, 103A selection unit 104 evidence acquisition unit 105 recording unit 106 determination unit 201 evidence image acquisition unit 202 provision unit

Claims (11)

A detection unit that detects the occurrence of a traffic violation;
A route acquisition unit for acquiring a first movement route for a predetermined period of the first vehicle that made the traffic violation and a second movement route for the predetermined period of a peripheral vehicle that is one or more vehicles existing around the first vehicle When,
Based on the first movement path and the second movement path acquired from the surrounding vehicle on which the evidence providing device capable of acquiring an evidence image constituting the evidence of the traffic violation performed by the first vehicle is installed, A selection unit for selecting one or more second vehicles;
A evidence acquiring unit for requesting the evidence providing device mounted on the selected second vehicle to provide the evidence image, and acquiring the evidence image;
And a recording unit for recording the evidence image acquired by the evidence acquisition unit.
Traffic violation detection device. The evidence image is one or more images that can identify at least one person of the owner, the driver, and the passenger of the first vehicle.
The traffic violation detection device according to claim 1. The selection unit is configured to position each relationship between the first vehicle and the surrounding vehicle in the predetermined period based on the first movement route and the second movement route, and an imaging range of each of the evidence providing devices mounted on the surrounding vehicle And selecting the second vehicle based on
The traffic violation detection device according to claim 1 or 2. The predetermined period includes a fixed period after the current time, and
The selection unit is mounted with a evidence providing device capable of photographing the first vehicle after the current time among the surrounding vehicles based on the acquired first movement route and the second movement route in the predetermined period acquired. Further select the second vehicle,
The traffic violation detection device according to any one of claims 1 to 3. And a determination unit that determines whether the traffic violation can be proved using the evidence image acquired by the evidence acquisition unit.
The selection unit further sequentially selects one or more vehicles of the second vehicle and makes the evidence acquisition unit request the provision of the evidence image, and the one or more evidence images acquired by the evidence acquisition unit When it is determined by the determination unit that the second vehicle can be verified, the selection of the second vehicle is ended.
The traffic violation detection device according to any one of claims 1 to 4. The selection unit selects the second vehicle according to a priority indicating which one of the evidence providing devices mounted on each of the surrounding vehicles is to be preferentially selected.
The traffic violation detection device according to claim 3 or 4. The priority is calculated based on the positional relationship, the imaging range, and an imaging angle of the first vehicle by each of the evidence providing devices mounted on the surrounding vehicles.
The traffic violation detection device according to claim 6. The priority is further calculated based on the time at which each of the evidence providing devices mounted on the surrounding vehicles shoots the first vehicle.
The traffic violation detection device according to claim 7. A system comprising a traffic violation detection device and an evidence providing device,
The traffic violation detection device is
A detection unit that detects the occurrence of a traffic violation;
A route acquisition unit for acquiring a first movement route for a predetermined period of the first vehicle that made the traffic violation and a second movement route for the predetermined period of a peripheral vehicle that is one or more vehicles existing around the first vehicle When,
Based on the first movement path and the second movement path acquired from the surrounding vehicle on which the evidence providing device capable of acquiring an evidence image constituting the evidence of the traffic violation performed by the first vehicle is installed, A selection unit for selecting one or more second vehicles;
A evidence acquiring unit for requesting the evidence providing device mounted on the selected second vehicle to provide the evidence image, and acquiring the evidence image;
And a recording unit for recording the evidence image acquired by the evidence acquiring unit,
The evidence providing device
An evidence image acquisition unit that acquires the evidence image in response to a request from the traffic violation detection device;
And a providing unit that provides the traffic violation detection device with the evidence image acquired by the evidence image acquisition unit.
system. Detecting the occurrence of a traffic violation;
The first movement route of the first vehicle which has made the traffic violation detected in the detection step and the second movement route of the predetermined period of the surrounding vehicle which is one or more vehicles existing around the first vehicle A route acquisition step for acquiring
An evidence providing apparatus capable of acquiring an evidence image constituting evidence of the traffic violation performed by the first vehicle is mounted on the basis of the first movement route and the second movement route acquired in the route acquisition step. A selection step of selecting one or more second vehicles from the surrounding vehicles;
Obtaining the evidence image by requesting the evidence providing device mounted on the second vehicle selected in the selection step to provide the evidence image;
Recording the evidence image acquired in the acquiring step;
Traffic violation detection method. Detecting the occurrence of a traffic violation;
The first movement route of the first vehicle which has made the traffic violation detected in the detection step and the second movement route of the predetermined period of the surrounding vehicle which is one or more vehicles existing around the first vehicle A route acquisition step for acquiring
An evidence providing apparatus capable of acquiring an evidence image constituting evidence of the traffic violation performed by the first vehicle is mounted on the basis of the first movement route and the second movement route acquired in the route acquisition step. A selection step of selecting one or more second vehicles from the surrounding vehicles;
Obtaining the evidence image by requesting the evidence providing device mounted on the second vehicle selected in the selection step to provide the evidence image;
Recording the evidence image acquired in the acquisition step;
A program that runs on a computer.

Images