CN112133104A - Vehicle information detection method, device and system and storage medium - Google Patents
Vehicle information detection method, device and system and storage medium Download PDFInfo
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- CN112133104A CN112133104A CN202010847797.4A CN202010847797A CN112133104A CN 112133104 A CN112133104 A CN 112133104A CN 202010847797 A CN202010847797 A CN 202010847797A CN 112133104 A CN112133104 A CN 112133104A
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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Abstract
The application relates to a vehicle information detection method, a device, a system and a storage medium, comprising: acquiring first video information in a first monitoring area, and determining vehicle information according to the first video information; determining start-stop time information of a corresponding vehicle passing time detection area according to the first video information; acquiring speed information of a corresponding vehicle when the vehicle passes through a radar speed measuring area; and determining length information of the vehicle according to the start-stop time information and the speed information of the corresponding vehicle. According to the method and the device, the radar and the video data are effectively fused, so that higher target identification accuracy, motion information and spatial position information can be obtained, and the method and the device have important values in the field of road flow monitoring.
Description
Technical Field
The present application relates to the field of intelligent transportation technologies, and in particular, to a method, an apparatus, a system, and a storage medium for detecting vehicle information.
Background
In modern society, security and protection are more and more emphasized by the public, security and protection technology develops rapidly, security and protection products emerge endlessly, and the security and protection application field is expanded continuously.
The traditional security terminal equipment is mainly a visible light camera, and the visible light camera has the advantages that the category information of the target is obtained, but the operation information of the target is not easy to obtain. For example, it is easy to identify the type of object (man-machine), but it is not easy to estimate the speed and spatial position of the object. Particularly, the recognition accuracy of the target in a long distance, at night and in a rainy and foggy day is low, namely the time and space accuracy of the target in the monitored area is inconsistent and even has a significant difference.
The millimeter wave radar actively transmits electromagnetic waves and receives signals with the same frequency, can work 24 hours all day, and is less influenced by weather. There is a very high probability of detection for moving objects or objects with a large RCS (radar reflection area), but the probability of detection for stationary objects is low.
Disclosure of Invention
The embodiment of the application provides a vehicle information detection method, a device, a system and a storage medium, which are used for at least solving the problems that the vehicle information detection probability is low and the operation information is difficult to obtain in the related technology.
In a first aspect, an embodiment of the present application provides a vehicle information detection method, including:
acquiring first video information in a first monitoring area, and determining vehicle information according to the first video information;
determining start-stop time information of a corresponding vehicle passing time detection area according to the first video information;
acquiring speed information of a corresponding vehicle when the vehicle passes through a radar speed measuring area;
and determining length information of the vehicle according to the start-stop time information and the speed information of the corresponding vehicle.
In some embodiments, the determining start-stop time information of the corresponding vehicle elapsed time detection area according to the first video information includes:
acquiring first time information of the head of the vehicle entering the time detection area according to the first video information;
and acquiring second time information of the vehicle tail exiting the time detection area according to the first video information.
In some embodiments, the obtaining speed information of the corresponding vehicle passing through the radar speed measurement area includes:
sampling an echo signal of a vehicle in a radar speed measurement area to obtain a speed value sequence of the vehicle;
and calculating the speed information of the vehicle according to the speed value sequence.
In some embodiments, said determining length information of a vehicle according to said start-stop time information and speed information of a corresponding vehicle comprises:
acquiring time difference information of corresponding vehicles passing through the time detection area according to the start-stop time information;
multiplying the time difference information with the speed information to determine length information of the vehicle.
In some embodiments, the time detection area is located in the first monitoring area, and the radar speed measurement area coincides with, intersects with, or is close to the time detection area.
In some of these embodiments, further comprising:
and acquiring second video information in the second monitoring area, and determining the license plate of the vehicle according to the second video information.
In some of these embodiments, further comprising:
generating warning information based on the vehicle information and the length information and sending the warning information to a warning system so that the warning system sends a warning signal; wherein the warning signal includes a vehicle type, a vehicle length, and a vehicle distance.
In a second aspect, an embodiment of the present application provides a vehicle information detection apparatus, including:
the vehicle information acquisition unit is used for acquiring first video information in the first monitoring area and determining vehicle information according to the first video information;
a start-stop time information determining unit, configured to determine start-stop time information of a corresponding vehicle passing time detection area according to the first video information;
the speed information acquisition unit is used for acquiring speed information of a corresponding vehicle passing through a radar speed measurement area;
and the length information determining unit is used for determining the length information of the vehicle according to the start-stop time information and the speed information of the corresponding vehicle.
In a third aspect, an embodiment of the present application provides a vehicle information detection system, including: dual camera systems, radar systems and monitoring devices; wherein the monitoring device is connected to the dual-camera system and the radar system, respectively, the dual-camera system comprising: a first camera arranged parallel to the road surface and a second camera arranged laterally,
the first camera is used for acquiring first video information in a first monitoring area and sending the first video information to the monitoring equipment;
the second camera is used for acquiring second video information in a second monitoring area and sending the second video information to the monitoring equipment;
the radar system is used for acquiring speed information of a corresponding vehicle passing through a radar speed measuring area and sending the speed information to the monitoring equipment;
the monitoring apparatus is configured to execute the vehicle information detection method according to the first aspect described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the vehicle information detection method according to the first aspect.
Compared with the related art, the vehicle information detection method provided by the embodiment of the application is convenient for target tracking by acquiring the first video information in the first monitoring area and determining the vehicle information according to the first video information; determining start-stop time information of a corresponding vehicle passing time detection area according to the first video information, so that the time detection has higher-precision target identification accuracy; by acquiring the speed information of the corresponding vehicle when passing through the radar speed measuring area, the moving speed of the moving vehicle can be acquired with high detection probability.
According to the embodiment of the application, the length information of the vehicle is determined according to the start-stop time information and the speed information of the corresponding vehicle, the radar and the video data are effectively fused, higher target identification accuracy, motion information and spatial position information can be obtained, and then road flow information such as time occupancy, space occupancy, inter-vehicle distance, preceding vehicle distance and vehicle time interval can be obtained, so that the method has important value in the field of road flow such as expressways, bridges, crossroads and tunnels.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic flow chart diagram of a vehicle information detection method in one embodiment;
FIG. 2 is a schematic diagram of a vehicle information detection process in one embodiment;
FIG. 3 is a schematic diagram of a preferred process for vehicle information detection in one embodiment;
FIG. 4 is a schematic flow chart diagram of a preferred method for detecting vehicle information in one embodiment;
FIG. 5 is a block diagram showing the construction of a vehicle information detecting apparatus according to one embodiment;
FIG. 6 is a schematic diagram showing the construction of a vehicle information detection system according to an embodiment;
fig. 7 is a schematic diagram of a hardware configuration of the monitoring device in one embodiment.
Description of the drawings: 100. a road section to be detected; 200. a time detection area; 300. a radar speed measurement area; 400. a first camera; 500. a first monitoring area; 600. a second camera; 700. a second monitoring area; 800. a warning system; 201. a vehicle information acquisition unit; 202. a start-stop time information determination unit; 203. a speed information acquisition unit; 204. a length information determination unit; 31. a radar system; 32. monitoring equipment; 33. a dual camera system; 40. a bus; 41. a processor; 42. a memory; 43. a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
The intelligent transportation utilizes advanced information technology, automatic control theory, artificial intelligence, sensor technology, operational research and the like to be comprehensively applied to the aspects of road management, traffic control and the like, so that the contact between vehicles, roads and users is strengthened. The intelligent transportation system mainly comprises: traffic control and route guidance system: the method comprises the steps of road system planning, traffic flow prediction and control; a traffic supervision system: the method comprises the steps of monitoring traffic conditions of vehicles, drivers and different sections; the driving assistance system comprises: mainly comprises lane line detection and vehicle and pedestrian position detection; a communication system; including real-time communications between various traffic authorities and drivers, etc.
The vehicle information detection method provided by the embodiment can be used in an intelligent traffic system, particularly a video traffic monitoring system. When the length of a vehicle (especially a large vehicle) is obtained, road traffic information such as time occupancy, space occupancy, inter-vehicle distance, preceding vehicle distance, time-of-day distance, and the like can be obtained. The method has important values for monitoring and controlling the road flow, planning the road and managing the safety.
The present embodiment provides a vehicle information detection method, which may be executed by a monitoring device, and in particular, may be executed by one or more processors in the device, and fig. 1 is a flowchart of a vehicle information detection method according to an embodiment of the present application, as shown in fig. 1-2, where the flowchart includes the following steps:
step S101, obtaining first video information in the first monitoring area 500, and determining vehicle information according to the first video information.
In this embodiment, the road segment 100 to be detected may be defined in advance, and the first monitoring area 500 may be obtained by installing the first camera 400 on the road segment 100 to be detected. The first monitoring area 500 may be disposed in an area with a large demand for monitoring traffic flow, such as a highway, a bridge, a crossroad, a tunnel, etc., or may be disposed in a special demand scene, such as a community entrance, a public complex place, a dense pedestrian flow area, a multi-accident place, etc., and the present application is not limited specifically.
In this embodiment, the monitoring device may be a computer terminal, a server, or the like, and the monitoring device may be connected to the camera in a wired or wireless manner, acquire video data acquired by the first camera 400, and perform corresponding processing to obtain vehicle information. The vehicle information includes identification information such as the type, body type and number of the vehicle.
Step S102, determining start-stop time information corresponding to the vehicle elapsed time detection area 200 according to the first video information.
And step S103, acquiring speed information when the corresponding vehicle passes through the radar speed measuring area 300.
Fig. 2 is a schematic diagram of a vehicle information detection process according to an embodiment of the present application, and as shown in fig. 2, in this embodiment, a time detection area 200 and a radar speed measurement area 300 may be defined in advance on the road segment 100 to be detected. The time detection area 200 is located in the first monitoring area 500 of the first camera 400, and the radar speed measurement area 300 is overlapped, crossed or close to the time detection area 200. In an actual application scenario, the radar speed measurement area 300 and the time detection area 200 should be overlapped as much as possible, so that the speed information acquired by the radar speed measurement area 300 is more reliable in the subsequent vehicle length calculation.
Specifically, when the first camera 400 is installed laterally, the accurate head and tail pixels cannot be obtained, and thus the start-stop time information of the vehicle passing time detection area 200 cannot be accurately obtained. Therefore, the first camera 400 is installed in parallel to the ground, and the time detection area 200 is located at a suitable position within the first monitoring area 500, preferably directly below the first camera 400.
Typically, the width of the time detection area 200 in the road segment 100 to be detected is less than 0.5 m. For large vehicles such as buses, engineering vehicles, trucks and vans, the width of the time detection area 200 may be larger, and when the width is larger, the first video information collected by the first camera 400 has a larger frame number, so that the start-stop time of the vehicle passing through the time detection area 200 can be determined more accurately. For a small vehicle, the width of the time detection region 200 is preferably 0.2m or less, and in this case, the width of the time detection region 200 has an inevitable calculation error for the calculation of the vehicle length, and the region width should be as small as possible. Of course, in the present embodiment, the time detection area 200 cannot be a detection line, and the width of the time detection area 200 is too small, and when the frame rate of the first video information is small, the start-stop time information is likely to be undetectable.
In a specific embodiment, the acquisition of the start-stop time information may be obtained by: according to the first video information, first time information t1 of the vehicle when the head of the vehicle enters the time detection area 200 and second time information t2 of the vehicle when the tail of the vehicle exits the time detection area 200 are obtained. It should be noted that, in this embodiment, the start-stop time information may also be a time difference between the time when the vehicle head enters the time detection area 200 and the time when the vehicle tail enters the time detection area 200, which are all within the protection scope of the present application.
And step S104, determining the length information of the vehicle according to the start-stop time information and the speed information of the corresponding vehicle.
In this embodiment, since the radar speed measurement area 300 is overlapped, crossed or close to the time detection area 200, if the vehicle travels at a constant speed on the road section 100 to be detected, the speed information may be equal to the traveling speed of the vehicle in the time detection area 200, and the length information of the vehicle is calculated.
Specifically, the time difference information of the corresponding vehicle passing through the time detection area 200 may be obtained according to the start-stop time information; -multiplying said time difference information (t2-t1) with said speed information v to determine length information of the vehicle.
Compared with the related art, the vehicle information detection method provided by the embodiment of the application can determine the identification information such as the type and the body type of the target vehicle by acquiring the first video information in the first monitoring area 500 and determining the vehicle information according to the first video information, so that the target tracking is facilitated; determining start-stop time information of the corresponding vehicle passing time detection area 200 according to the first video information, so that the time detection has higher-precision target identification accuracy; by acquiring speed information when a corresponding vehicle passes through the radar speed measurement area 300, the moving speed of the moving vehicle can be acquired with high detection probability.
According to the embodiment of the application, the length information of the vehicle is determined according to the start-stop time information and the speed information of the corresponding vehicle, the radar and the video data are effectively fused, higher target identification accuracy, motion information and spatial position information can be obtained, and then road flow information such as time occupancy, space occupancy, inter-vehicle distance, preceding vehicle distance and vehicle time interval can be obtained, so that the method has important value in the field of road flow such as expressways, bridges, crossroads and tunnels.
The embodiments of the present application are described and illustrated below by means of preferred embodiments.
In some of these embodiments, the step S103 includes:
step S1041, sampling the echo signal of the vehicle in the radar speed measurement area 300, and obtaining a speed value sequence of the vehicle;
and step S1042, calculating the speed information of the vehicle according to the speed value sequence.
In one specific embodiment, the speed information of the vehicle may be obtained by calculating:
v＝mean(RadarSpeedSeq)
wherein v is the speed of the vehicle; RadarSpeedSeq is a sequence of speed values for a vehicle, which can be expressed as:
| 10.1m/s | 9.8m/s | 10.5m/s | 10.4m/s | … | 9.7m/s | 9.5m/s |
of course, in other embodiments, the speed information of the vehicle may be calculated in other manners. For example, sampling is performed on the up-scan echo signal in each scanning period to obtain a sampling point sequence, fourier transform is performed on the sampling point sequence, normalized frequency corresponding to a frequency domain peak value is obtained according to a frequency spectrum signal after fourier transform, and the speed of the target to be measured is solved. The radar speed measurement method is the prior art in the field, and the details are not described herein.
In some embodiments, the vehicle information detection method further includes:
step S105, obtaining second video information in the second monitoring area 700, and determining a vehicle license plate according to the second video information.
In this embodiment, a second camera 600 is installed on the road segment 100 to be detected to obtain a second monitoring area 700, wherein the second camera 600 is laterally arranged and is used for tracking the vehicle to be detected and acquiring a license plate of the vehicle. Therefore, each vehicle can be endowed with a unique ID, so that the vehicle information and the vehicle length information can be corresponding to a specific vehicle license plate, and the owner, the place of the owner and the registration information of the vehicle can be further acquired for subsequent information prompt, vehicle management, responsibility tracing and the like.
On the basis of the above embodiments, in some embodiments, fig. 3 is a schematic process diagram of a preferred vehicle information detection method according to an embodiment of the present application; fig. 4 is a preferred flow chart of a vehicle information detection method according to an embodiment of the present application, and as shown in fig. 3 and 4, the vehicle information detection method further includes:
step S106, generating warning information based on the vehicle information and the length information and sending the warning information to a warning system 800, so that the warning system 800 sends out warning signals; wherein the warning signal includes a vehicle type, a vehicle length, and a vehicle distance.
Specifically, in the present embodiment, the target detection is performed on the road segment 100 to be detected, and the target detection includes acquiring at least one vehicle signal of a vehicle speed, a pulse counter, a traveling direction, and a steering angle. When the vehicle signal is acquired, initial detection is performed in the time detection area 200, that is, whether there is a vehicle entering the time detection area 200 is detected, and the time t1 of the vehicle entering the time detection area 200 is recorded. Then, the target termination detection is performed in the time detection area 200, that is, whether a vehicle exits the time detection area 200 is detected, and the time t2 when the vehicle exits the time detection area 200 is recorded, and the time difference information of the corresponding vehicle passing through the time detection area 200 is obtained according to the start-stop time information (t2-t 1).
Meanwhile, the target tracking is carried out on the vehicle running into the road section 100 to be detected, when a radar signal is detected, the radar speed measurement is triggered in the radar speed measurement area 300, and the speed value sequence of the radar target in the time detection area 200 is recorded. And (3) performing target termination detection in the radar speed measuring area 300, terminating radar speed measurement when no radar signal is detected, calculating to obtain speed information of the vehicle based on the speed value sequence, and calculating to obtain the vehicle length of the vehicle according to the speed information and the time difference information.
Meanwhile, the target tracking is performed on the vehicle on the road section 100 to be detected, and after the second video information including the vehicle license plate is acquired by the second camera 600, the license plate detection is terminated. And finally, generating warning information based on the vehicle information and the length information, sending the warning information to a warning system 800, and sending a warning signal.
It should be noted that, in this embodiment, the image information of the corresponding vehicle in the first video information acquired by the first camera 400 and the second video information acquired by the second camera 600 is spliced to obtain a spliced image, so as to ensure consistency of target tracking. Wherein, the image information corresponding to the first video information is pre-defined with a time detection area 200 and a radar speed measurement area 300.
The warning signal may also be vehicle information such as a vehicle identifier, a vehicle size, a vehicle position, a vehicle speed, a vehicle flow rate, a vehicle distance, and the like, which is not specifically limited in the present application.
In this embodiment, the warning signal can inform the vehicle or the pedestrian through the electronic display screen, the speaker, the warning light, the whistle and other modes, so as to ensure the traffic safety, for example: when a truck approaches an intersection, the monitoring equipment acquires information such as the body type, the number, the position and the vehicle length of the truck, and then generates a condition that the truck is 100 meters away from a sidewalk, the length of the truck is 25 meters, the truck is driving, and pedestrians pay attention to safety. And sending the warning information to a display screen for displaying.
It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here. For example, step S103 may be performed after step S102, or may be performed before step S102 or before step S101.
The present embodiment further provides a vehicle information detecting device, which is used to implement the foregoing embodiments and preferred embodiments, and the description of the device is omitted. As used hereinafter, the terms "module," "unit," "subunit," and the like may implement a combination of software and/or hardware for a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 5 is a block diagram of a configuration of a vehicle information detection apparatus according to an embodiment of the present application, which includes, as shown in fig. 5: a vehicle information acquisition unit 201, a start-stop time information determination unit 202, a speed information acquisition unit 203, and a length information determination unit 204.
A vehicle information obtaining unit 201, configured to obtain first video information in the first monitoring area 500, and determine vehicle information according to the first video information;
a start-stop time information determining unit 202 configured to determine start-stop time information of the vehicle elapsed time detection area 200 according to the first video information;
a speed information obtaining unit 203, configured to obtain speed information of a corresponding vehicle when the vehicle passes through the radar speed measurement area 300;
a length information determining unit 204, configured to determine length information of the vehicle according to the start-stop time information and the speed information of the corresponding vehicle.
The start-stop time information determination unit 202 includes: the device comprises a first time information acquisition module and a second time information acquisition module.
A first time information obtaining module, configured to obtain first time information when a head of a vehicle enters the time detection area 200 according to the first video information;
and a second time information obtaining module, configured to obtain, according to the first video information, second time information when the tail of the vehicle exits the time detection area 200.
The speed information acquisition unit 203 includes: the device comprises a speed value sequence acquisition module and a speed information calculation module.
A speed value sequence acquisition module, configured to sample an echo signal of a vehicle in the radar speed measurement area 300 to obtain a speed value sequence of the vehicle;
and the speed information calculation module is used for calculating the speed information of the vehicle according to the speed value sequence.
The length information determination unit 204 includes: the device comprises a time difference information acquisition module and a length information determination module.
A time difference information obtaining module, configured to obtain time difference information that a corresponding vehicle passes through the time detection area 200 according to the start-stop time information;
a length information determination module to multiply the time difference information with the speed information to determine length information of the vehicle.
The vehicle information detection device further includes: and a license plate acquisition unit.
And the license plate acquiring unit is used for acquiring second video information in the second monitoring area 700 and determining the license plate of the vehicle according to the second video information.
The vehicle information detection device further includes: and an alarm unit.
The warning unit is used for generating warning information based on the vehicle information and the length information and sending the warning information to the warning system 800 so that the warning system 800 sends a warning signal; wherein the warning signal includes a vehicle type, a vehicle length, and a vehicle distance.
The above modules may be functional modules or program modules, and may be implemented by software or hardware. For a module implemented by hardware, the modules may be located in the same processor; or the modules can be respectively positioned in different processors in any combination.
An embodiment of the present invention further provides a vehicle information detection system, fig. 6 is a schematic structural diagram of the vehicle information detection system according to the embodiment of the present application, and as shown in fig. 6, the vehicle information detection system includes: a dual camera system 33, a radar system 31, and a monitoring device 32; wherein the monitoring device 32 is connected to the dual-camera system 33 and the radar system 31, respectively, the dual-camera system 33 includes: a first camera 400 arranged parallel to the road surface and a second camera 600 arranged laterally,
the first camera 400 is configured to acquire first video information in a first monitoring area 500 and send the first video information to the monitoring device 32;
the second camera 600 is configured to acquire second video information in a second monitoring area 700 and send the second video information to the monitoring device 32;
the radar system 31 is configured to obtain speed information of a corresponding vehicle when the vehicle passes through the radar speed measurement area 300, and send the speed information to the monitoring device 32;
the monitoring device 32 is configured to perform the vehicle information detection method as described above.
In the present embodiment, the dual camera system 33 is integrally or separately installed with the radar system 31. Specifically, the dual-camera system 33 and the radar system 31 may be integrated into a radar-vision integrated machine, or may be respectively installed on the road section 100 to be detected, and respectively communicate with the monitoring device 32. The radar-video integrated machine comprises a millimeter radar, a first camera 400, a second camera 600 and a bus, wherein the millimeter radar, the first camera 400 and the second camera 600 are respectively connected with the bus and send radar data and video data to the monitoring equipment 32 through a communication module.
At the monitoring device 32, the corresponding data may be displayed through a display screen. Therefore, the manager can acquire the vehicle information and the vehicle length through the radar and the video data received by the monitoring device 32, grasp the state information of the vehicle in real time, and take corresponding measures in time according to the road traffic condition.
In one embodiment, the vehicle information detecting system further comprises an alarm system 800, wherein the alarm system 800 is connected to the monitoring device 32, and is configured to receive the alarm information sent by the monitoring device 32 and send an alarm signal to alarm pedestrians and drivers. The warning system 800 may be one or a combination of a plurality of warning lights, a display screen, a voice system, and multimedia.
In addition, the vehicle information detection method described in conjunction with fig. 1 in the embodiment of the present application may be implemented by the monitoring device 32. Fig. 7 is a schematic hardware structure diagram of the monitoring device 32 according to an embodiment of the present application.
The monitoring device 32 may include a processor 41 and a memory 42 storing computer program instructions.
Specifically, the processor 41 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The processor 41 realizes any one of the vehicle information detection methods in the above-described embodiments by reading and executing computer program instructions stored in the memory 42.
In some of these embodiments, the monitoring device 32 may also include a communication interface 43 and a bus 40. As shown in fig. 7, the processor 41, the memory 42, and the communication interface 43 are connected via the bus 40 to complete mutual communication.
The communication interface 43 is used for implementing communication between modules, devices, units and/or apparatuses in the embodiments of the present application. The communication interface 43 may also be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
The bus 40 includes hardware, software, or both that couple the components of the monitoring device 32 to one another. Bus 40 includes, but is not limited to, at least one of the following: data Bus (Data Bus), Address Bus (Address Bus), Control Bus (Control Bus), Expansion Bus (Expansion Bus), and Local Bus (Local Bus). By way of example, and not limitation, Bus 40 may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (FSB), a Hyper Transport (HT) Interconnect, an ISA (ISA) Bus, an InfiniBand (InfiniBand) Interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a microchannel Architecture (MCA) Bus, a PCI (Peripheral Component Interconnect) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video Electronics Bus (audio Electronics Association), abbreviated VLB) bus or other suitable bus or a combination of two or more of these. Bus 40 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
The monitoring device 32 may perform vehicle information detection in the embodiment of the present application based on the acquired vehicle information detection, thereby implementing the vehicle information detection described with reference to fig. 1.
In addition, in combination with the vehicle information detection method in the above embodiment, the embodiment of the present application may be implemented by providing a computer-readable storage medium. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the vehicle information detection methods in the above embodiments.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A vehicle information detection method characterized by comprising:
acquiring first video information in a first monitoring area, and determining vehicle information according to the first video information;
determining start-stop time information of a corresponding vehicle passing time detection area according to the first video information;
acquiring speed information of a corresponding vehicle when the vehicle passes through a radar speed measuring area;
and determining length information of the vehicle according to the start-stop time information and the speed information of the corresponding vehicle.
2. The vehicle information detection method according to claim 1, wherein the determining start-stop time information of the corresponding vehicle elapsed time detection area from the first video information includes:
acquiring first time information of the head of the vehicle entering the time detection area according to the first video information;
and acquiring second time information of the vehicle tail exiting the time detection area according to the first video information.
3. The vehicle information detection method according to claim 1, wherein the obtaining of the speed information of the corresponding vehicle when passing through the radar speed measurement area includes:
sampling an echo signal of a vehicle in a radar speed measurement area to obtain a speed value sequence of the vehicle;
and calculating the speed information of the vehicle according to the speed value sequence.
4. The vehicle information detection method according to claim 1, wherein the determining length information of the vehicle from the start-stop time information and the speed information of the corresponding vehicle includes:
acquiring time difference information of corresponding vehicles passing through the time detection area according to the start-stop time information;
multiplying the time difference information with the speed information to determine length information of the vehicle.
5. The vehicle information detection method according to claim 1, wherein the time detection area is located within the first monitoring area, and the radar speed measurement area coincides with, intersects with, or is close to the time detection area.
6. The vehicle information detection method according to claim 1, characterized by further comprising:
and acquiring second video information in the second monitoring area, and determining the license plate of the vehicle according to the second video information.
7. The vehicle information detection method according to claim 1, characterized by further comprising:
generating warning information based on the vehicle information and the length information and sending the warning information to a warning system so that the warning system sends a warning signal; wherein the warning signal includes a vehicle type, a vehicle length, and a vehicle distance.
8. A vehicle information detection apparatus characterized by comprising:
the vehicle information acquisition unit is used for acquiring first video information in the first monitoring area and determining vehicle information according to the first video information;
a start-stop time information determining unit, configured to determine start-stop time information of a corresponding vehicle passing time detection area according to the first video information;
the speed information acquisition unit is used for acquiring speed information of a corresponding vehicle passing through a radar speed measurement area;
and the length information determining unit is used for determining the length information of the vehicle according to the start-stop time information and the speed information of the corresponding vehicle.
9. A vehicle information detection system characterized by comprising: dual camera systems, radar systems and monitoring devices; wherein the monitoring device is connected to the dual-camera system and the radar system, respectively, the dual-camera system comprising: a first camera arranged parallel to the road surface and a second camera arranged laterally,
the first camera is used for acquiring first video information in a first monitoring area and sending the first video information to the monitoring equipment;
the second camera is used for acquiring second video information in a second monitoring area and sending the second video information to the monitoring equipment;
the radar system is used for acquiring speed information of a corresponding vehicle passing through a radar speed measuring area and sending the speed information to the monitoring equipment;
the monitoring apparatus is configured to execute the vehicle information detection method according to any one of claims 1 to 7.
10. A computer-readable storage medium on which a computer program is stored, characterized in that the program, when executed by a processor, implements the vehicle information detection method according to any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113393675A (en) * | 2021-05-24 | 2021-09-14 | 青岛海信网络科技股份有限公司 | Vehicle ID determination method, device, equipment and medium |
| CN115762184A (en) * | 2023-01-09 | 2023-03-07 | 江西方兴科技股份有限公司 | Tunnel passing speed control method and device and computer equipment |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008060916A2 (en) * | 2006-11-09 | 2008-05-22 | University Of Florida Research Foundation, Inc. | Passive single camera imaging system for determining motor vehicle speed |
| WO2011000677A1 (en) * | 2009-06-30 | 2011-01-06 | Siemens Aktiengesellschaft | Method and system for determining a vehicle class |
| US20140071286A1 (en) * | 2012-09-13 | 2014-03-13 | Xerox Corporation | Method for stop sign law enforcement using motion vectors in video streams |
| CN104639916A (en) * | 2015-03-04 | 2015-05-20 | 合肥巨清信息科技有限公司 | Large-scene multi-target tracking shooting video monitoring system and monitoring method thereof |
| CN104900088A (en) * | 2015-05-22 | 2015-09-09 | 桂林电子科技大学 | Pre-warning system used for curve vehicle crossing pre-warning |
| CN205068772U (en) * | 2015-08-01 | 2016-03-02 | 深圳市砝石激光测控有限公司 | Light curtain laser traffic condition survey system |
| CN105809977A (en) * | 2015-12-25 | 2016-07-27 | 武汉楚誉科技股份有限公司 | Method for detecting length and driving direction of vehicle |
| JP2016170735A (en) * | 2015-03-13 | 2016-09-23 | 富士通株式会社 | Dynamic image data storage device, dynamic image data storage program, dynamic image data storage method, and dynamic image data storage system |
| CN107315095A (en) * | 2017-06-19 | 2017-11-03 | 哈尔滨工业大学 | Many vehicle automatic speed-measuring methods with illumination adaptability based on Video processing |
| US20180253607A1 (en) * | 2016-10-12 | 2018-09-06 | Amko Solara Lighting Co., Ltd. | System for receiving and analyzing traffic video |
| CN108734655A (en) * | 2017-04-14 | 2018-11-02 | 中国科学院苏州纳米技术与纳米仿生研究所 | The method and system that aerial multinode is investigated in real time |
| CN110969864A (en) * | 2018-09-28 | 2020-04-07 | 杭州海康威视数字技术股份有限公司 | Vehicle speed detection method, vehicle driving event detection method and electronic equipment |
| CN111192462A (en) * | 2020-02-19 | 2020-05-22 | 辽宁艾特斯智能交通技术有限公司 | Overrun information acquisition method, device and system and overrun detection equipment |
| CN111405196A (en) * | 2019-12-31 | 2020-07-10 | 智慧互通科技有限公司 | Vehicle management method and system based on video splicing |
| CN111415533A (en) * | 2020-04-22 | 2020-07-14 | 湖北民族大学 | Bend safety early warning monitoring method, device and system |
-
2020
- 2020-08-21 CN CN202010847797.4A patent/CN112133104B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008060916A2 (en) * | 2006-11-09 | 2008-05-22 | University Of Florida Research Foundation, Inc. | Passive single camera imaging system for determining motor vehicle speed |
| WO2011000677A1 (en) * | 2009-06-30 | 2011-01-06 | Siemens Aktiengesellschaft | Method and system for determining a vehicle class |
| US20140071286A1 (en) * | 2012-09-13 | 2014-03-13 | Xerox Corporation | Method for stop sign law enforcement using motion vectors in video streams |
| CN104639916A (en) * | 2015-03-04 | 2015-05-20 | 合肥巨清信息科技有限公司 | Large-scene multi-target tracking shooting video monitoring system and monitoring method thereof |
| JP2016170735A (en) * | 2015-03-13 | 2016-09-23 | 富士通株式会社 | Dynamic image data storage device, dynamic image data storage program, dynamic image data storage method, and dynamic image data storage system |
| CN104900088A (en) * | 2015-05-22 | 2015-09-09 | 桂林电子科技大学 | Pre-warning system used for curve vehicle crossing pre-warning |
| CN205068772U (en) * | 2015-08-01 | 2016-03-02 | 深圳市砝石激光测控有限公司 | Light curtain laser traffic condition survey system |
| CN105809977A (en) * | 2015-12-25 | 2016-07-27 | 武汉楚誉科技股份有限公司 | Method for detecting length and driving direction of vehicle |
| US20180253607A1 (en) * | 2016-10-12 | 2018-09-06 | Amko Solara Lighting Co., Ltd. | System for receiving and analyzing traffic video |
| CN108734655A (en) * | 2017-04-14 | 2018-11-02 | 中国科学院苏州纳米技术与纳米仿生研究所 | The method and system that aerial multinode is investigated in real time |
| CN107315095A (en) * | 2017-06-19 | 2017-11-03 | 哈尔滨工业大学 | Many vehicle automatic speed-measuring methods with illumination adaptability based on Video processing |
| CN110969864A (en) * | 2018-09-28 | 2020-04-07 | 杭州海康威视数字技术股份有限公司 | Vehicle speed detection method, vehicle driving event detection method and electronic equipment |
| CN111405196A (en) * | 2019-12-31 | 2020-07-10 | 智慧互通科技有限公司 | Vehicle management method and system based on video splicing |
| CN111192462A (en) * | 2020-02-19 | 2020-05-22 | 辽宁艾特斯智能交通技术有限公司 | Overrun information acquisition method, device and system and overrun detection equipment |
| CN111415533A (en) * | 2020-04-22 | 2020-07-14 | 湖北民族大学 | Bend safety early warning monitoring method, device and system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113393675A (en) * | 2021-05-24 | 2021-09-14 | 青岛海信网络科技股份有限公司 | Vehicle ID determination method, device, equipment and medium |
| CN115762184A (en) * | 2023-01-09 | 2023-03-07 | 江西方兴科技股份有限公司 | Tunnel passing speed control method and device and computer equipment |
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|---|---|
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