CN113470373A - Monitoring method, device and system based on traffic identification - Google Patents
Monitoring method, device and system based on traffic identification Download PDFInfo
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- CN113470373A CN113470373A CN202110647047.7A CN202110647047A CN113470373A CN 113470373 A CN113470373 A CN 113470373A CN 202110647047 A CN202110647047 A CN 202110647047A CN 113470373 A CN113470373 A CN 113470373A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000012544 monitoring process Methods 0.000 title claims abstract description 22
- 238000012806 monitoring device Methods 0.000 claims description 11
- 238000010801 machine learning Methods 0.000 description 3
- 230000033228 biological regulation Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- 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 invention discloses a monitoring method, equipment and a system based on traffic identification, wherein the method comprises the following steps: picking up traffic identification images around a vehicle; and comparing the picked image with the traffic identification image sample, and outputting a reminding signal or an alarm signal corresponding to the traffic identification when the traffic identification is matched. The embodiment of the invention provides a method for picking up a road sign by a vehicle-mounted high-definition camera, which provides sign change, sign increase and decrease and sign execution time for a driver and prevents illegal and unsafe driving.
Description
Technical Field
The invention relates to the field of traffic sign monitoring, in particular to a monitoring method and a monitoring system based on a traffic sign.
Background
The public transport driver needs to pay attention to the conditions of station entrance, station arrival and vehicles in the driving process of urban roads or long-distance routes, and often cannot find the traffic signs in time.
In this case, the bus driver will experience a violation and unsafe driving situation.
Disclosure of Invention
The invention aims to provide a monitoring method, equipment and a method based on traffic identification so as to achieve the technical effects of bus driving safety and driving specification.
The invention discloses a monitoring method based on traffic identification, which comprises the following steps:
picking up traffic identification images around a vehicle;
and comparing the picked image with the traffic identification image sample, and outputting a reminding signal or an alarm signal corresponding to the traffic identification when the traffic identification is matched.
Preferably, when the traffic identifier is matched, outputting a reminder signal or an alarm signal corresponding to the traffic identifier includes:
and when the traffic sign is a speed limit sign, analyzing whether the current speed is overspeed or not, and when the vehicle is detected to exceed the speed limit speed, giving an alarm.
Preferably, the method of picking up a traffic identification image around a vehicle includes:
and shooting videos around the vehicle through a camera, extracting pictures containing traffic identification in the videos, and picking up traffic identification images around the vehicle from the pictures.
Preferably, when the traffic identification which cannot be identified is detected, the traffic identification is extracted;
and numbering the traffic identification and storing the traffic identification in a traffic identification image sample library.
Preferably, the method further comprises the following steps:
and extracting the execution time image in the identified traffic identification, judging whether the current time is within the identification execution time, and if the current time is not within the execution time, interrupting the output of a reminding signal or an alarm signal corresponding to the traffic identification.
A monitoring device based on a traffic sign is provided,
an image pickup unit that picks up a traffic identification image around a vehicle;
the comparison unit is used for comparing the picked-up image with the traffic identification image sample;
and the alarm unit outputs a reminding signal or an alarm signal corresponding to the traffic identification when the traffic identification is matched.
Preferably, the alignment unit is embodied as:
and when the traffic sign is a speed limit sign, analyzing whether the current speed is overspeed or not, and when the vehicle is detected to exceed the speed limit speed, giving an alarm.
Preferably, the pick-up unit is embodied as:
and shooting videos around the vehicle through a camera, extracting pictures containing traffic identification in the videos, and picking up traffic identification images around the vehicle from the pictures.
Preferably, the method further comprises the step of,
the time judgment unit is specifically realized as follows:
and extracting the execution time image in the identified traffic identification, judging whether the current time is within the identification execution time, and if the current time is not within the execution time, interrupting the output of a reminding signal or an alarm signal corresponding to the traffic identification.
A traffic sign-based monitoring system comprising: the monitoring device based on traffic identification in the above embodiment.
The embodiment of the invention provides a method for picking up a road sign by a vehicle-mounted high-definition camera, which provides sign change, sign increase and decrease and sign execution time for a driver and prevents illegal and unsafe driving.
Drawings
FIG. 1 is a flow chart of a traffic sign based monitoring method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a traffic sign based monitoring method according to an embodiment of the present invention;
FIG. 3 is a further flow chart of a traffic sign based monitoring method according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a monitoring device based on traffic signs according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a monitoring device based on traffic signs according to an embodiment of the present invention.
Detailed Description
The specific implementation mode of the invention relates to a monitoring method and a monitoring system based on traffic identification, so as to achieve the technical effect of improving driving safety.
Fig. 1 shows that the invention discloses a monitoring method based on traffic identification, which comprises the following steps:
s11: picking up traffic identification images around a vehicle;
s12: comparing the picked-up image with the traffic identification image sample;
picking up a traffic identification image around a vehicle, comprising:
and shooting videos around the vehicle through a camera, extracting pictures containing traffic identification in the videos, and picking up traffic identification images around the vehicle from the pictures.
Preferably, a machine learning method is adopted, and the accuracy of traffic sign recognition is improved through a big data sample training method.
Machine learning is a multi-disciplinary cross specialty, covers probability theory knowledge, statistical knowledge, approximate theoretical knowledge and complex algorithm knowledge, uses a computer as a tool and is dedicated to a real-time simulation human learning mode, and knowledge structure division is carried out on the existing content to effectively improve learning efficiency. The traffic identification is accurately identified by machine learning, and the situations that the identification with low occurrence frequency or not frequently used on a common driving road or the identification is similar to cause false recognition and the like need large-scale sample training to realize quick and accurate identification and alarm.
S13: and when the traffic identification is matched, outputting a reminding signal or an alarm signal corresponding to the traffic identification.
Preferably, when the traffic sign is matched, outputting a warning signal or an alarm signal corresponding to the traffic sign includes:
and when the traffic sign is a speed limit sign, analyzing whether the current speed is overspeed or not, and when the vehicle is detected to exceed the speed limit speed, giving an alarm.
The current traffic sign adjusts the sign on each road section according to the relevant regulations of traffic management, thereby ensuring the safety of vehicles and pedestrians and the smooth traffic. Among many traffic control signs, the most common is a speed limit sign, and due to inattentive attention or unclear sign or weather reasons during driving, a bus driver often has difficulty in finding the traffic sign in time and has problems of unintended violation, such as violation and speeding, and the like.
By way of example, different road sections have definite regulations on the speed of various vehicle types, and when a bus driver does not notice that the conditions such as speed limit or temporary speed limit need to utilize image recognition technology to complete whether the vehicle is an overspeed sign or not, accurately acquire overspeed numbers at a long distance, and prompt the bus driver to control the speed of the vehicle.
Referring to fig. 2, for the case of being unrecognizable, the following steps are performed:
s22: when the traffic identification which cannot be identified is detected, extracting the traffic identification;
in the process of building the traffic identification database, the image sample library is required to be continuously enriched and perfected in the feedback data which is successfully identified, incorrectly identified and unrecognizable.
S23: and numbering the traffic identification and storing the traffic identification in a traffic identification image sample library.
By numbering the traffic identifications, the corresponding matching mechanism is quickly searched and matched when being called. The particular numbering process is not limiting.
Referring to fig. 3, the extraction of the execution time image in the traffic sign according to the present invention includes:
s31: extracting an execution time image in the identified traffic identification;
s32: judging whether the current time is within the identifier execution time or not;
s33: and if the current time is not within the execution time, interrupting the output of a reminding signal or an alarm signal corresponding to the traffic identification.
As an example, some traffic signs are performed during a specific defined time, such as the traffic signs that prohibit turning around are performed at 5 and 7 pm, while others are not performed. In the buses on the route, current bus drivers in the afternoon period receive the reminding information of forbidding turning around.
Furthermore, according to different bus routes, if corresponding identification is identified, whether reminding or alarming is carried out or not is further judged according to the requirements of the driving routes. As an example above, all the bus drivers of a vehicle traveling in the lane without a need for a u-turn will not receive a reminder due to the sign of a u-turn when the lane is limited.
Referring to fig. 4, there is shown a traffic sign based monitoring device comprising:
an image pickup unit 41 that picks up a traffic identification image around a vehicle;
the pickup unit 41 is embodied as:
and shooting videos around the vehicle through a camera, extracting pictures containing traffic identification in the videos, and picking up traffic identification images around the vehicle from the pictures.
A comparison unit 42 for comparing the picked-up image with the traffic identification image sample;
preferably, the alignment unit 43 implements:
and when the traffic sign is a speed limit sign, analyzing whether the current speed is overspeed or not, and when the vehicle is detected to exceed the speed limit speed, giving an alarm.
And an alarm unit 43 which outputs a warning signal or an alarm signal corresponding to the traffic sign when the traffic sign is matched.
Referring to fig. 5, the apparatus further includes a time determining unit 44, which is implemented specifically as follows:
and extracting the execution time image in the identified traffic identification, judging whether the current time is within the identification execution time, and if the current time is not within the execution time, interrupting the output of a reminding signal or an alarm signal corresponding to the traffic identification.
The invention also discloses a monitoring system (not shown) based on traffic identification, comprising: fig. 4-5 correspond to monitoring devices based on traffic identification in embodiments.
In summary, the following steps:
the embodiment of the invention provides a method for picking up a road sign by a vehicle-mounted high-definition camera, which provides sign change, sign increase and decrease and sign execution time for a driver and prevents illegal and unsafe driving.
It is to be understood that the disclosed embodiments of the invention are not limited to the particular structures, process steps, or steps disclosed herein, but extend to equivalents thereof as would be understood by those skilled in the relevant art. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting.
Reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Thus, the appearances of the phrase "one embodiment" or "an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment.
Although the embodiments of the present invention have been described above, the embodiments are only used for the understanding of the present invention, and are not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A monitoring method based on traffic identification is characterized by comprising the following steps:
picking up traffic identification images around a vehicle;
and comparing the picked image with the traffic identification image sample, and outputting a reminding signal or an alarm signal corresponding to the traffic identification when the traffic identification is matched.
2. The traffic sign-based monitoring method of claim 1,
when the traffic identification is matched, outputting a reminding signal or an alarm signal corresponding to the traffic identification comprises:
and when the traffic sign is a speed limit sign, analyzing whether the current speed is overspeed or not, and when the vehicle is detected to exceed the speed limit speed, giving an alarm.
3. The traffic sign-based monitoring method according to claim 2, wherein picking up the traffic sign image around the vehicle comprises:
and shooting videos around the vehicle through a camera, extracting pictures containing traffic identification in the videos, and picking up traffic identification images around the vehicle from the pictures.
4. The traffic sign based monitoring method according to any one of claims 2 or 3,
when the traffic identification which cannot be identified is detected, extracting the traffic identification;
and numbering the traffic identification and storing the traffic identification in a traffic identification image sample library.
5. The traffic sign-based monitoring method according to claim 4, further comprising:
and extracting the execution time image in the identified traffic identification, judging whether the current time is within the identification execution time, and if the current time is not within the execution time, interrupting the output of a reminding signal or an alarm signal corresponding to the traffic identification.
6. A monitoring device based on traffic signs is characterized in that,
an image pickup unit that picks up a traffic identification image around a vehicle;
the comparison unit is used for comparing the picked-up image with the traffic identification image sample;
and the alarm unit outputs a reminding signal or an alarm signal corresponding to the traffic identification when the traffic identification is matched.
7. The traffic sign-based monitoring device of claim 6,
the comparison unit is specifically realized as follows:
and when the traffic sign is a speed limit sign, analyzing whether the current speed is overspeed or not, and when the vehicle is detected to exceed the speed limit speed, giving an alarm.
8. The traffic sign based monitoring device according to any one of claims 6-7,
the pickup unit is embodied as:
and shooting videos around the vehicle through a camera, extracting pictures containing traffic identification in the videos, and picking up traffic identification images around the vehicle from the pictures.
9. The traffic sign-based monitoring device according to any one of claims 6 to 7, further comprising a time determination unit, embodied to:
and extracting the execution time image in the identified traffic identification, judging whether the current time is within the identification execution time, and if the current time is not within the execution time, interrupting the output of a reminding signal or an alarm signal corresponding to the traffic identification.
10. A traffic sign-based monitoring system, comprising: the traffic sign based monitoring device of claims 6-9.
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| CN202110647047.7A CN113470373A (en) | 2021-06-10 | 2021-06-10 | Monitoring method, device and system based on traffic identification |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105957379A (en) * | 2016-05-30 | 2016-09-21 | 乐视控股（北京）有限公司 | Traffic information recognition method and device, and vehicle |
| KR20200046318A (en) * | 2018-10-24 | 2020-05-07 | (주)이씨스 | System and method of providing traffic information using probe vehicle data |
| CN111824015A (en) * | 2019-04-17 | 2020-10-27 | 上海擎感智能科技有限公司 | Driving assistance method, device and system and computer readable storage medium |
| CN111833629A (en) * | 2019-04-23 | 2020-10-27 | 上海博泰悦臻网络技术服务有限公司 | Special lane prompting method and system and vehicle |
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- 2021-06-10 CN CN202110647047.7A patent/CN113470373A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105957379A (en) * | 2016-05-30 | 2016-09-21 | 乐视控股（北京）有限公司 | Traffic information recognition method and device, and vehicle |
| KR20200046318A (en) * | 2018-10-24 | 2020-05-07 | (주)이씨스 | System and method of providing traffic information using probe vehicle data |
| CN111824015A (en) * | 2019-04-17 | 2020-10-27 | 上海擎感智能科技有限公司 | Driving assistance method, device and system and computer readable storage medium |
| CN111833629A (en) * | 2019-04-23 | 2020-10-27 | 上海博泰悦臻网络技术服务有限公司 | Special lane prompting method and system and vehicle |
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