CN110796868A - Video and microwave integrated traffic incident monitoring system and method - Google Patents
Video and microwave integrated traffic incident monitoring system and method Download PDFInfo
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- CN110796868A CN110796868A CN201911214369.1A CN201911214369A CN110796868A CN 110796868 A CN110796868 A CN 110796868A CN 201911214369 A CN201911214369 A CN 201911214369A CN 110796868 A CN110796868 A CN 110796868A
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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
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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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
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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Abstract
The invention relates to the technical field of traffic incident monitoring, in particular to a video and microwave integrated traffic incident monitoring method, which comprises the following steps: detecting road traffic conditions through a microwave radar detection device, and collecting road traffic data; performing data analysis and traffic event judgment on the traffic data through data processing equipment; when the traffic incident is judged to occur, the video acquisition device acquires image and video information; integrating microwave radar data corresponding to the traffic event with image and video information; and transmitting the integrated data to a traffic event early warning system through network transmission equipment. The invention also requests to protect a traffic incident monitoring system integrating the video and the microwave. The video acquisition device is used for acquiring images and videos of the traffic incident, so that the type, the field condition and the current road traffic capacity of the incident road section of the traffic incident are judged, and the all-weather, quick and accurate judgment of the road section traffic incident is facilitated.
Description
Technical Field
The invention relates to the technical field of traffic incident monitoring, in particular to a system and a method for monitoring a traffic incident by fusing video and microwave.
Background
The traffic monitoring technology is an important component of an intelligent traffic system, and the traffic monitoring technology is mainly used for acquiring and arranging traffic vehicle information by matching with electronic equipment and detection equipment by utilizing a network and a communication technology, transmitting the information to a monitoring center and providing important information basis for the monitoring center to formulate a traffic control scheme. In recent years, traffic detection technology is continuously developed, and the requirements on speed and accuracy of vehicle traffic event monitoring are higher and higher.
In the prior art, a video identification monitoring technology or a microwave radar monitoring technology is often adopted. However, the video identification monitoring is greatly influenced by the environment, the monitoring effect is influenced when the visibility is poor such as heavy rain, heavy snow, fog and the like, and the light change caused by day-night conversion influences the identification rate. The detection result by adopting the microwave radar is not intuitive, and information such as real-time on-site pictures or videos and the like which can intuitively reflect specific traffic events cannot be provided for managers.
In view of the above problems, the designer actively makes research and innovation based on the practical experience and professional knowledge that the product engineering is applied for many years, and cooperates with the application of the theory, so as to create a traffic incident monitoring system and method integrating video and microwave, so that the system and method have higher practicability.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the system and the method for monitoring the traffic incident by fusing the video and the microwave are provided, so that the real-time, intuitive and accurate monitoring of the traffic incident is realized.
In order to achieve the above object, one aspect of the present invention provides a traffic event monitoring system with video and microwave integrated, including: the system comprises vehicle monitoring equipment, data storage equipment, data processing equipment and network transmission equipment;
the vehicle monitoring equipment comprises a microwave radar detection device and a video acquisition device; the radar detection device is used for detecting the speed, the direction, the coordinate, the object reflection area and the form of a target vehicle; the video acquisition device is used for acquiring images and videos;
the data storage equipment is connected with the vehicle monitoring equipment and used for storing original data of the microwave radar detection device and the video acquisition device;
the data processing device comprises a data reading module and a data processing module, the data reading module is connected with the data storage device, and the data processing module is connected with the data reading module and is used for processing the data read by the data reading module and judging whether a traffic incident occurs or not; after the traffic incident is judged to occur, the data processing module integrates traffic data, a traffic incident picture and video information;
and the network transmission equipment is connected with the data processing equipment and is used for uploading the integrated data to a traffic event early warning management platform.
Preferably, the vehicle monitoring equipment is erected on at least one side of a road or above the road, the microwave radar detection device and the video acquisition device are arranged towards the direction of the coming vehicle, and the coverage width of the microwave radar detection device and the video acquisition device is larger than the width of the road where the microwave radar detection device and the video acquisition device are located.
The invention provides a traffic incident monitoring method integrating video and microwave, which comprises the following steps:
detecting road traffic conditions through a microwave radar detection device, and collecting road traffic data;
performing data analysis and traffic event judgment on the traffic data through data processing equipment;
when the traffic incident is judged to occur, the video acquisition device acquires image and video information;
integrating microwave radar data corresponding to the traffic event with image and video information;
and transmitting the integrated data to a traffic event early warning system through network transmission equipment.
Preferably, the traffic data includes speed, direction, distance and angle of the vehicle.
Preferably, the data analysis method is as follows:
and (3) determining a coordinate system: the coordinate system is determined with the radar as the origin, for example, the direction of the vertical road is the x-axis, and the horizontal direction of the road is the y-axis.
Lane division: and dividing the road covered by the microwave radar detection device into a plurality of areas according to lanes by taking guardrails on two sides of the road as boundaries so as to monitor the condition of vehicles in each area and judge traffic incidents according to traffic data in each area.
Data acquisition: after the object is detected, the object is numbered, and then data such as speed, driving direction, coordinates, object reflection area and form, motion track and the like are tracked and recorded in real time.
And (3) data analysis: and generating an event template by the calibration mode of various traffic event types, and performing traffic event matching identification on radar data by a data matching and identification algorithm.
Event confirmation: and after the occurrence of the event is confirmed, the video monitoring equipment acquires the graph and the video.
Data integration: and acquiring the position of the event in the image video through coordinate conversion of the radar and the video acquisition equipment, and locking and marking the violation vehicle through methods such as image processing and the like.
Event early warning: and sending the integrated event data to a traffic event early warning platform, and performing event warning.
Preferably, the traffic events include dangerous driving behavior, traffic congestion, and traffic accidents.
Preferably, the dangerous driving behaviors comprise speeding, reversing, continuous lane changing, illegal parking and emergency lane occupation;
the overspeed judging method comprises the following steps: the speed exceeds a defined speed;
the method for judging the reverse running comprises the following steps: the speed of the vehicle is negative;
the method for judging continuous lane change comprises the following steps: the vehicle continuously changes the driving area;
the method for judging the violation comprises the following steps: the vehicle is located in an area outside the emergency lane, and the speed value is 0;
the method for judging the emergency lane occupation comprises the following steps: the vehicle is in the emergency lane and the speed is not 0.
Preferably, the traffic congestion behavior comprises fleet slowdown and queue overflow;
the method for judging the slow running of the vehicle comprises the following steps: the speed of the multiple vehicles is lower than the lowest speed limit value;
the method for judging the queue overflow comprises the following steps: the multi-vehicle queuing position exceeds a defined limit.
Preferably, the traffic accident comprises: rear-end collision, scraping and guardrail throwing objects;
the method for judging rear-end collision comprises the following steps: the speed of more than two vehicles in the same area is 0;
the scraping judging method comprises the following steps: the speeds of two vehicles in two adjacent areas are 0;
the judging method of the crash barrier comprises the following steps: the distance between the vehicle and the area boundary is 0 and the vehicle speed is 0;
the judging method of the sprinkled object comprises the following steps: non-vehicle shape objects appear in the area, and the track of the traveling vehicle is obviously changed.
The invention has the beneficial effects that: the microwave radar is used for detecting the road traffic condition, the high-precision and high-anti-interference performance of road condition monitoring is realized, the data are analyzed and processed by the data processing equipment, the traffic event is judged in time, the video acquisition device is used for acquiring images and videos of the traffic event, the defect of insufficient intuition of microwave radar detection is overcome, and the intuition judgment of the type of the event of the traffic event section, the field condition, the current road traffic capacity and the like is realized. The method is favorable for realizing all-weather, quick and accurate judgment of the traffic incidents of the road sections and carrying out timely traffic dispersion, emergency rescue and other work.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram illustrating a structure of a video and microwave integrated traffic event monitoring system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an arrangement structure of a microwave radar detection device and a video acquisition device on a road according to an embodiment of the present invention;
FIG. 3 is a flow chart of a traffic incident monitoring method with video and microwave integration according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a traffic event monitoring method with video and microwave integration according to an embodiment of the present invention;
fig. 5 is a schematic view of a work flow of a traffic event monitoring system with video and microwave integrated in an embodiment of the present invention.
Reference numerals: 10-vehicle monitoring equipment, 11-microwave radar detection device, 12-video acquisition device, 20-data storage equipment, 30-data processing equipment, 31-data reading module, 32-data processing module and 40-network transmission equipment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The video and microwave integrated traffic event monitoring system shown in fig. 1 includes: the vehicle monitoring device 10, the data storage device 20, the data processing device 30, and the network transmission device 40;
the vehicle monitoring device 10 comprises a microwave radar detection device 11 and a video acquisition device 12; the radar detection device is used for detecting the speed, the direction, the coordinates, the object reflection area and the shape of a target vehicle; the video acquisition device 12 is used for image and video acquisition;
the data storage device 20 is connected with the vehicle monitoring device 10 and is used for storing original data of the microwave radar detection device 11 and the video acquisition device 12;
the data processing device 30 comprises a data reading module 31 and a data processing module 32, the data reading module 31 is connected with the data storage device 20, and the data processing module 32 is connected with the data reading module 31 and is used for processing the data read by the data reading module 31 and judging whether a traffic incident occurs or not; after the traffic event is judged to occur, the data processing module 32 integrates the traffic data with the traffic event picture and the video information;
the network transmission device 40 is connected to the data processing device 30, and is configured to upload the integrated data to the traffic event early warning management platform.
In the above embodiment, the microwave radar detection device 11 emits a beam of microwave, if a moving vehicle passes through, the microwave signal is reflected back by the moving vehicle, the detection device circuit inside the detector can detect the frequency shift generated by the movement of the vehicle, and then the system outputs the vehicle sensing signal, and the vehicle passing information, including the target information such as speed, direction, coordinates, object reflection area and form, is obtained according to the detected frequency shift. The microwave radar detection device 11 is used for detecting the road traffic condition, the high-precision and high-anti-interference performance of road condition monitoring is realized, the data are analyzed and processed by the data processing device 30, the traffic incident is judged in time, the video acquisition device 12 is used for acquiring images and videos of the traffic incident, the defect of insufficient intuition of microwave radar detection is overcome, and the intuition judgment of the incident type, the field condition, the current road traffic capacity and the like of the traffic incident section is realized. The method is favorable for realizing all-weather, quick and accurate judgment of the traffic incidents of the road sections and carrying out timely traffic dispersion, emergency rescue and other work.
Preferably, as shown in fig. 2, the vehicle monitoring device 10 is installed on at least one side of the road or above the road, the microwave radar detection device 11 and the video capture device 12 are disposed toward the incoming vehicle, and the coverage width of the two devices is larger than the width of the road. Through the cooperation of 11 and video acquisition device 12, with the road all standing, this kind of setting can be when microwave radar detection device 11 monitors to take place the traffic incident, and video acquisition device 12 carries out image, video acquisition immediately, has compensatied the not enough defect of microwave radar detection intuition nature, has also improved video acquisition's efficiency simultaneously, need not to transfer, clip the video from the surveillance center.
The invention also provides a traffic incident monitoring method with video and microwave integrated, as shown in fig. 3, comprising the following steps:
s11: detecting road traffic conditions through a microwave radar detection device, and collecting road traffic data;
s12: carrying out data analysis and traffic incident judgment on the traffic data through data processing equipment;
s13: when the traffic incident is judged to occur, the video acquisition device acquires image and video information;
s14: integrating microwave radar data corresponding to the traffic event with image and video information;
s15: and transmitting the integrated data to a traffic event early warning system through network transmission equipment.
Referring to fig. 4, when the video capture device 12 determines that no traffic incident occurs, it stores the traffic flow data for later query.
In the embodiment, the video and the microwave technology are fused, so that the high-precision, large-range and all-weather working capacity of the whole system is ensured, the visual visualization of traffic events is realized, and real-time, accurate, visual and sufficient field information is provided for road managers.
In the present embodiment, the traffic data includes the speed, direction, distance, coordinates, and object reflection area and form of the vehicle. The specific working principle is mentioned above and is not described herein again.
As a preferable example of the above embodiment, the data analysis method is:
and (3) determining a coordinate system: the coordinate system is determined with the radar as the origin, for example, the direction of the vertical road is the x-axis, and the horizontal direction of the road is the y-axis.
Lane division: and dividing the road covered by the microwave radar detection device into a plurality of areas according to lanes by taking guardrails on two sides of the road as boundaries so as to monitor the condition of vehicles in each area and judge traffic incidents according to traffic data in each area.
Data acquisition: after the object is detected, the object is numbered, and then data such as speed, driving direction, coordinates, object reflection area and form, motion track and the like are tracked and recorded in real time.
And (3) data analysis: and generating an event template by the calibration mode of various traffic event types, and performing traffic event matching identification on radar data by a data matching and identification algorithm.
Event confirmation: and after the occurrence of the event is confirmed, the video monitoring equipment acquires the graph and the video.
Data integration: and acquiring the position of the event in the image video through coordinate conversion of the radar and the video acquisition equipment, and locking and marking the violation vehicle through methods such as image processing and the like.
Event early warning: and sending the integrated event data to a traffic event early warning platform, and performing event warning.
In the following part of this embodiment, a specific method for determining traffic time is provided, and details are shown in table 1, where the traffic event includes dangerous driving behavior, traffic congestion, and traffic accident.
TABLE 1
Specifically, the dangerous driving behaviors include overspeed, retrograde motion, continuous lane change, illegal parking and emergency lane occupation;
the overspeed judging method comprises the following steps: the speed exceeds a defined speed;
the method for judging the reverse running comprises the following steps: the speed of the vehicle is negative;
the judgment method of continuous lane change comprises the following steps: the vehicle continuously changes the driving area;
the method for judging the violation comprises the following steps: the vehicle is located in an area outside the emergency lane, and the speed value is 0;
the method for judging the emergency lane occupation comprises the following steps: the vehicle is in the emergency lane and the speed is not 0.
Further, the traffic congestion behavior comprises fleet slowing and queue overflow;
the method for judging the slow running of the vehicle comprises the following steps: the speed of the multiple vehicles is lower than the lowest speed limit value;
the method for judging the queue overflow comprises the following steps: the multi-vehicle queuing position exceeds a defined limit.
Further, the traffic accident includes: rear-end collisions, scratches, failures, fence strikes, spilled objects and hits by dropped objects;
the method for judging rear-end collision comprises the following steps: the speed of more than two vehicles in the same area is 0;
the method for judging the scraping comprises the following steps: the speeds of two vehicles in two adjacent areas are 0;
the judgment method for the collision of the guardrail comprises the following steps: the distance between the vehicle and the area boundary is 0 and the vehicle speed is 0;
the method for judging the sprinkled objects comprises the following steps: non-vehicle shape objects appear in the area, and the track of the traveling vehicle is obviously changed.
As shown in fig. 5, after a traffic event is sent to the event early warning system, the event early warning system notifies traffic managers to begin processing for different traffic events. Locking vehicles in dangerous driving behaviors and timely intercepting and warning; aiming at the vehicle congestion condition, managing, controlling and evacuating the road sections along the line; aiming at traffic accidents, the corresponding lanes are controlled, and a barrier removing team is informed to timely carry out barrier removing rescue treatment so as to enable the road to be recovered to be smooth as soon as possible.
It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. A video and microwave fused traffic event monitoring system, comprising: the system comprises a vehicle monitoring device (10), a data storage device (20), a data processing device (30) and a network transmission device (40);
the vehicle monitoring device (10) comprises a microwave radar detection device (11) and a video acquisition device (12); the radar detection device is used for detecting the speed, the direction, the coordinate, the object reflection area and the form of a target vehicle; the video acquisition device (12) is used for image and video acquisition;
the data storage device (20) is connected with the vehicle monitoring device (10) and is used for storing raw data of the microwave radar detection device (11) and the video acquisition device (12);
the data processing device (30) comprises a data reading module (31) and a data processing module (32), the data reading module (31) is connected with the data storage device (20), and the data processing module (32) is connected with the data reading module (31) and is used for processing the data read by the data reading module (31) and judging whether a traffic event occurs or not; after the traffic incident is judged to occur, the data processing module (32) integrates traffic data, a traffic incident picture and video information;
the network transmission equipment (40) is connected with the data processing equipment (30) and is used for uploading the integrated data to a traffic event early warning management platform.
2. The system for monitoring the traffic incident through the fusion of the video and the microwave according to claim 1, wherein the vehicle monitoring device (10) is erected on at least one side of a road or above the road, the microwave radar detection device (11) and the video acquisition device (12) are arranged towards the incoming vehicle direction, and the coverage width of the two devices is larger than the width of the road.
3. A video and microwave integrated traffic incident monitoring method is characterized by comprising the following steps:
detecting road traffic conditions through a microwave radar detection device, and collecting road traffic data;
performing data analysis and traffic event judgment on the traffic data through data processing equipment;
when the traffic incident is judged to occur, the video acquisition device acquires image and video information;
integrating microwave radar data corresponding to the traffic event with image and video information;
and transmitting the integrated data to a traffic event early warning system through network transmission equipment.
4. The video and microwave integrated traffic event monitoring method according to claim 3, wherein the traffic data includes speed, direction, distance and angle of vehicles.
5. The video and microwave integrated traffic event monitoring method according to claim 5, wherein the data analysis method comprises:
and (3) determining a coordinate system: determining a coordinate system by taking a radar as an origin, for example, taking a direction vertical to a road as an x axis and a horizontal direction of the road as a y axis;
lane division: dividing the road covered by the microwave radar detection device into a plurality of areas according to lanes by taking guardrails on two sides of the road as boundaries so as to monitor the condition of vehicles in each area, and judging traffic events according to traffic data in each area;
data acquisition: after an object is detected, numbering the object, and tracking and recording data such as speed, driving direction, coordinates, object reflection area and form, motion track and the like in real time;
and (3) data analysis: generating an event template by the calibration mode of various traffic event types, and then carrying out traffic event matching identification on radar data by a data matching and identification algorithm;
event confirmation: after the occurrence of the event is confirmed, the video monitoring equipment carries out image and video acquisition;
data integration: acquiring the position of an event in a graphic video through coordinate conversion of a radar and a video acquisition device, and locking and marking a violation vehicle through methods such as image processing and the like;
event early warning: and sending the integrated event data to a traffic event early warning platform, and performing event warning.
6. The video and microwave integrated traffic event monitoring method according to claim 4, wherein the traffic event comprises dangerous driving behavior, traffic congestion and traffic accidents.
7. The video and microwave integrated traffic event monitoring method according to claim 6, wherein the dangerous driving behaviors include speeding, reversing, continuous lane changing, parking violation and emergency lane occupation;
the overspeed judging method comprises the following steps: the speed exceeds a defined speed;
the method for judging the reverse running comprises the following steps: the speed of the vehicle is negative;
the method for judging continuous lane change comprises the following steps: the vehicle continuously changes the driving area;
the method for judging the violation comprises the following steps: the vehicle is located in an area outside the emergency lane, and the speed value is 0;
the method for judging the emergency lane occupation comprises the following steps: the vehicle is in the emergency lane and the speed is not 0.
8. The video and microwave integrated traffic event monitoring method according to claim 6, wherein the traffic congestion behavior comprises fleet slowing and queue overflow;
the method for judging the slow running of the vehicle comprises the following steps: the speed of the multiple vehicles is lower than the lowest speed limit value;
the method for judging the queue overflow comprises the following steps: the multi-vehicle queuing position exceeds a defined limit.
9. The video and microwave integrated traffic event monitoring method according to claim 6, wherein the traffic accident comprises: rear-end collision, scraping, guardrail collision and object throwing;
the method for judging rear-end collision comprises the following steps: the speed of more than two vehicles in the same area is 0;
the scraping judging method comprises the following steps: the speeds of two vehicles in two adjacent areas are 0;
the judging method of the crash barrier comprises the following steps: the distance between the vehicle and the area boundary is 0 and the vehicle speed is 0;
the judging method of the sprinkled object comprises the following steps: non-vehicle shape objects appear in the area, and the track of the traveling vehicle is obviously changed.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104867331A (en) * | 2015-05-06 | 2015-08-26 | 南京慧尔视智能科技有限公司 | Microwave-based traffic incident detection method and apparatus |
| CN204856896U (en) * | 2015-08-31 | 2015-12-09 | 合肥合和信息科技有限公司 | Radar traffic incident automatic check out system |
| CN106408940A (en) * | 2016-11-02 | 2017-02-15 | 南京慧尔视智能科技有限公司 | Microwave and video data fusion-based traffic detection method and device |
| CN106448189A (en) * | 2016-11-02 | 2017-02-22 | 南京慧尔视智能科技有限公司 | Multilane speed measuring and block port triggering method and device based on microwaves |
| CN108053605A (en) * | 2017-12-25 | 2018-05-18 | 南京南邮信息产业技术研究院有限公司 | A kind of intelligent video analysis system and method based on wireless internet of things |
| CN108206850A (en) * | 2016-12-20 | 2018-06-26 | 乐视汽车（北京）有限公司 | Road vehicles behavior monitoring method, apparatus and electronic equipment |
| CN108376473A (en) * | 2018-04-28 | 2018-08-07 | 招商局重庆交通科研设计院有限公司 | Roads and tunnels traffic Warning System based on vehicle operational monitoring |
| CN108510756A (en) * | 2018-05-30 | 2018-09-07 | 江苏速度信息科技股份有限公司 | A kind of detecting system and detection method of the road incidents based on laser measuring technology |
| CN108961790A (en) * | 2018-07-24 | 2018-12-07 | 河北德冠隆电子科技有限公司 | Bad weather pre-warning management system and method based on four-dimensional outdoor scene traffic simulation |
| CN109544936A (en) * | 2018-11-19 | 2019-03-29 | 安徽四创电子股份有限公司 | Motor vehicle zebra stripes based on radar video camera do not give precedence to pedestrian's early warning capturing system |
| CN109615870A (en) * | 2018-12-29 | 2019-04-12 | 南京慧尔视智能科技有限公司 | A kind of traffic detection system based on millimetre-wave radar and video |
| CN109741600A (en) * | 2018-12-29 | 2019-05-10 | 南京奥杰智能科技有限公司 | Road incidents detection system |
| CN209281618U (en) * | 2018-12-29 | 2019-08-20 | 南京慧尔视智能科技有限公司 | A kind of Vehicle Detection device based on millimetre-wave radar and video |
-
2019
- 2019-12-02 CN CN201911214369.1A patent/CN110796868A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104867331A (en) * | 2015-05-06 | 2015-08-26 | 南京慧尔视智能科技有限公司 | Microwave-based traffic incident detection method and apparatus |
| CN204856896U (en) * | 2015-08-31 | 2015-12-09 | 合肥合和信息科技有限公司 | Radar traffic incident automatic check out system |
| CN106408940A (en) * | 2016-11-02 | 2017-02-15 | 南京慧尔视智能科技有限公司 | Microwave and video data fusion-based traffic detection method and device |
| CN106448189A (en) * | 2016-11-02 | 2017-02-22 | 南京慧尔视智能科技有限公司 | Multilane speed measuring and block port triggering method and device based on microwaves |
| CN108206850A (en) * | 2016-12-20 | 2018-06-26 | 乐视汽车（北京）有限公司 | Road vehicles behavior monitoring method, apparatus and electronic equipment |
| CN108053605A (en) * | 2017-12-25 | 2018-05-18 | 南京南邮信息产业技术研究院有限公司 | A kind of intelligent video analysis system and method based on wireless internet of things |
| CN108376473A (en) * | 2018-04-28 | 2018-08-07 | 招商局重庆交通科研设计院有限公司 | Roads and tunnels traffic Warning System based on vehicle operational monitoring |
| CN108510756A (en) * | 2018-05-30 | 2018-09-07 | 江苏速度信息科技股份有限公司 | A kind of detecting system and detection method of the road incidents based on laser measuring technology |
| CN108961790A (en) * | 2018-07-24 | 2018-12-07 | 河北德冠隆电子科技有限公司 | Bad weather pre-warning management system and method based on four-dimensional outdoor scene traffic simulation |
| CN109544936A (en) * | 2018-11-19 | 2019-03-29 | 安徽四创电子股份有限公司 | Motor vehicle zebra stripes based on radar video camera do not give precedence to pedestrian's early warning capturing system |
| CN109615870A (en) * | 2018-12-29 | 2019-04-12 | 南京慧尔视智能科技有限公司 | A kind of traffic detection system based on millimetre-wave radar and video |
| CN109741600A (en) * | 2018-12-29 | 2019-05-10 | 南京奥杰智能科技有限公司 | Road incidents detection system |
| CN209281618U (en) * | 2018-12-29 | 2019-08-20 | 南京慧尔视智能科技有限公司 | A kind of Vehicle Detection device based on millimetre-wave radar and video |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111639765A (en) * | 2020-05-15 | 2020-09-08 | 视若飞信息科技(上海)有限公司 | Interaction method for using point track and detection domain |
| CN112150797A (en) * | 2020-08-19 | 2020-12-29 | 上海图丽信息技术有限公司 | Traffic incident detection method fusing radar videos |
| CN112133116A (en) * | 2020-09-24 | 2020-12-25 | 江苏中路工程技术研究院有限公司 | Lane management and control system and method based on traffic prediction |
| CN112258835A (en) * | 2020-09-29 | 2021-01-22 | 航天科工广信智能技术有限公司 | Intelligent traffic system based on cloud side end fusion technology |
| CN112258834A (en) * | 2020-09-29 | 2021-01-22 | 航天科工广信智能技术有限公司 | Traffic incident identification and processing system based on multi-sensor data fusion technology |
| CN112700638A (en) * | 2020-12-04 | 2021-04-23 | 杭州亥迪交通设备有限公司 | Intelligent road section intelligent detection system based on laser radar and millimeter wave radar |
| CN113554881A (en) * | 2021-07-20 | 2021-10-26 | 周刚 | Artificial intelligence road event monitoring method, device, system and storage medium |
| CN113850995A (en) * | 2021-09-14 | 2021-12-28 | 华设设计集团股份有限公司 | Event detection method, device and system based on tunnel radar vision data fusion |
| CN113888871A (en) * | 2021-10-20 | 2022-01-04 | 上海电科智能系统股份有限公司 | Automatic handling linkage system and method for highway traffic incident |
| CN115206091A (en) * | 2022-06-07 | 2022-10-18 | 西安电子科技大学广州研究院 | Road condition and event monitoring system and method based on multiple cameras and millimeter wave radar |
| CN115376312A (en) * | 2022-07-22 | 2022-11-22 | 交通运输部路网监测与应急处置中心 | Road monitoring method and system based on radar and video fusion |
| CN115527364A (en) * | 2022-08-25 | 2022-12-27 | 西安电子科技大学广州研究院 | Traffic accident tracing method and system based on radar vision data fusion |
| CN115527364B (en) * | 2022-08-25 | 2023-11-21 | 西安电子科技大学广州研究院 | Traffic accident tracing method and system based on radar data fusion |
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