CN113963543A - Method and system for identifying road danger of dangerous goods transportation tank car - Google Patents
Method and system for identifying road danger of dangerous goods transportation tank car Download PDFInfo
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- CN113963543A CN113963543A CN202111297132.1A CN202111297132A CN113963543A CN 113963543 A CN113963543 A CN 113963543A CN 202111297132 A CN202111297132 A CN 202111297132A CN 113963543 A CN113963543 A CN 113963543A
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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
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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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
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
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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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096783—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a roadside individual element
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096855—Systems involving transmission of navigation instructions to the vehicle where the output is provided in a suitable form to the driver
- G08G1/096872—Systems involving transmission of navigation instructions to the vehicle where the output is provided in a suitable form to the driver where instructions are given per voice
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The invention discloses a method and a system for identifying road hazards of a dangerous goods transportation tank car, wherein the method comprises the following steps: s1, acquiring road marks of the surrounding area by using a camera based on a high-speed camera technology, and uploading the acquired road marks of the surrounding area to a vehicle-mounted controller; s2, preprocessing the road mark of the surrounding area, calibrating the image and extracting and identifying the characteristic information by using the image identification technology in the vehicle-mounted controller; and S3, informing the processed picture information to a vehicle driver who is going to drive in advance in a voice prompt mode, and stopping voice broadcasting after feedback of the vehicle driver is obtained. Has the advantages that: based on high-speed camera shooting and image recognition technologies, a method of coordinated recommendation is assisted by binary image connected domain marks, so that a vehicle driver can quickly recognize front road danger marks, images are obtained through a camera, the vehicle driver is prompted through early warning, transportation safety is improved, and safety accidents are reduced.
Description
Technical Field
The invention relates to the technical field of automobile road safety, in particular to a road danger identification method and a system for a dangerous goods (liquefied petroleum gas, liquefied natural gas, liquid ammonia, chlorine, propylene, trichlorosilane, hydrocarbon liquefied goods and the like) road transport automobile tank car.
Background
The statistics of the road dangerous goods transportation accidents show that the curve road section is a section with multiple traffic accidents, the main reason is that the speed is high, and when accidents such as the vehicle is anchored in the front or the vehicle runs on the yellow line in the opposite direction and the like happen suddenly, a driver has a rear-end collision accident due to insufficient parking distance or turns in a sharp direction to cause a side-turning accident or the side-slipping and rear-end-slipping vehicle is out of control.
When a vehicle enters a curve, particularly a driver of a dangerous cargo tank car is easy to risk and drive in an overspeed manner, the emergency at a blind spot of road vision is easy to ignore due to low occurrence probability, the driver can control the vehicle speed through the curve only by considering the condition that the vehicle does not sideslip or roll over, and the vehicle speed usually has rear-end collision or collision accident due to insufficient braking distance when encountering the emergency, or rolls over to avoid the direction of the rear-end collision or collision accident.
At the bend, the driver does not estimate the risk enough to take the risk of speeding. According to the analysis, two ways for solving the problems are provided, one way is to remind a driver of an event in a blind area in time through a prompting device to reduce the speed in advance and avoid the blind area, and the other way is to keep a reasonable vehicle speed when the driver arrives at the road section and safely stop the vehicle within a visible distance range. At present, a convex mirror is arranged at a curve, so that the traffic condition of a driver at the blind point of the curve can be prompted to a certain extent, but when a danger signal is obtained through the convex mirror, if the speed of a vehicle is high, the reaction time and the braking distance of the driver are not enough, so that the prevention effect is greatly reduced.
Therefore, the road dangerous chemical transport tank car often appears and does not in time discern the road traffic sign, causes to block (bridge tunnel limit for height), and the excessive speed, sharp turn etc. causes property and personnel's loss of different degrees.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
The present invention is directed to a method and system for road hazard identification of a hazardous materials transport tanker, which overcomes the above-mentioned problems of the prior art.
Therefore, the invention adopts the following specific technical scheme:
according to one aspect of the present invention there is provided a method for road hazard identification of a hazardous materials transport tanker, the method comprising the steps of:
s1, acquiring road marks of the surrounding area by using a camera based on a high-speed camera technology, and uploading the acquired road marks of the surrounding area to a vehicle-mounted controller;
s2, preprocessing the road mark of the surrounding area, calibrating the image and extracting and identifying the characteristic information by using the image identification technology in the vehicle-mounted controller;
s3, informing the processed picture information to a vehicle driver to be driven in advance in a voice prompt mode, and stopping voice broadcasting after feedback of the vehicle driver is obtained;
s4, monitoring the mental state of the vehicle driver in real time by adopting a video probe;
and S5, adopting the vehicle-mounted video probe to monitor the distance between the vehicle and the front vehicle and the distance between the vehicle and the front vehicle at the side front in real time, and transmitting abnormal warning information to a vehicle driver.
Further, the method for acquiring the road identifier of the peripheral area by using the camera based on the high-speed camera technology and uploading the acquired road identifier of the peripheral area to the vehicle-mounted controller further comprises the following steps:
s11, acquiring road marks of a peripheral area by using a camera, and calibrating a near vision area;
and S12, calibrating each pixel point in the close-range visual area in the visual imaging by adopting a binary image connected domain mark, and uploading to the vehicle-mounted controller.
Furthermore, the calibration of each pixel point in the close-range visual area by adopting a binary image connected domain mark in the visual imaging and the uploading of the binary image connected domain mark to the vehicle-mounted controller further comprises the following steps:
s121, scanning the image until the current pixel point B (x, y) is 1: a,
s122, pushing all the adjacent foreground pixels of B (x, y) into a stack;
s123, popping up a stack top pixel, and pressing all foreground pixels adjacent to the stack top pixel into a stack;
s124, repeating the step S123 until the stack is empty, and marking the road marks of the peripheral area;
wherein x is the abscissa; y is the ordinate; a is the pixel value.
Further, the preprocessing, image calibration and feature information extraction and identification of the road sign of the peripheral area by using the pattern recognition technology in the vehicle-mounted controller further comprises the following steps:
s21, analyzing the marks of the road danger marks in the vehicle-mounted controller, and classifying the image information of the analyzed result;
s22, carrying out model matching on the result of image analysis, the obtained classification information and the road danger identification in the information base;
and S23, feeding back the matching result to the vehicle-mounted controller, and outputting the matching category of the road danger sign.
Further, the step of informing the processed picture information to a vehicle driver who will drive in advance by adopting a voice prompt mode and stopping voice broadcasting after feedback of the vehicle driver is obtained further comprises the following steps:
s31, carrying out specific recommendation on the road danger identifications in the specific area by adopting a coordinated recommendation mode, and transmitting a recommendation result to a vehicle driver in a voice broadcast mode;
s32, adopting a voice recognition technology, and stopping broadcasting if feedback of a vehicle driver is obtained;
and S33, if the feedback of the vehicle driver does not exist, continuing broadcasting.
Further, the method for coordinating recommendation comprises the following steps:
the vehicle-mounted controller selects a current dangerous road mark for a current vehicle driver, and selects and inputs related problems in the mark.
Calculating the similarity of the routes to be passed by the vehicle driver, and finding the nearest dangerous road mark;
calculating to generate a recommendation data set according to the similarity of the vehicle drivers;
calculating the dangerous road mark in a certain route, and calculating the recommended value of the current vehicle driver by adopting the following formula:
wherein, p represents a recommended value,
an average estimate of the vehicle driver's route, which in this scenario application is 0; sim (u, u)i) Inputting u for vehicle driver and ith vehicle driver input uiSimilarity of (2), riIs that the vehicle driver inputs i an average estimate of the identity of the hazard road,
an average estimate of i for the dangerous road sign is input for the vehicle driver, and n is a natural number greater than 0.
Further, the method for monitoring the mental state of the vehicle driver in real time by adopting the video probe further comprises the following steps:
s41, when the video probe finds that the mental state of the vehicle driver is not right, sending out a danger early warning voice prompt;
and S42, stopping the early warning voice if the vehicle driver adjusts the state, and stopping the danger early warning voice.
Further, the vehicle-mounted video probe is adopted to monitor the distance between the vehicle and the front vehicle and the distance between the vehicle and the front vehicle at the side of the front vehicle in real time, and the abnormal warning information is transmitted to the vehicle driver, and the method further comprises the following steps:
s51, different alarms are prompted according to different environments, and if the natural climate is normal, an early warning signal is not sent out;
and S52, if the bad natural climate appears, prompting the vehicle driver to stop at a safe place.
According to another aspect of the present invention there is also provided a system for road hazard identification of a hazardous materials transport tanker, the system comprising:
an acquisition module: acquiring road marks of a peripheral area by using a camera based on a high-speed camera technology, and uploading the acquired road marks of the peripheral area to a vehicle-mounted controller;
a pattern recognition module: preprocessing the road marks of the peripheral area, calibrating the images and extracting and identifying the characteristic information by utilizing a pattern recognition technology in the vehicle-mounted controller;
a graphics processing module: informing the processed picture information to a vehicle driver to be driven in advance by adopting a voice prompt mode, and stopping voice broadcasting after feedback of the vehicle driver is obtained;
a monitoring module: monitoring the mental state of a vehicle driver in real time by adopting a video probe;
the early warning module: the vehicle-mounted video probe is adopted to monitor the distance between the vehicle and the front vehicle and the distance between the vehicle and the front vehicle on the side of the front vehicle in real time, and abnormal warning information is transmitted to a vehicle driver.
Further, the preprocessing, image calibration and feature information extraction and identification of the road sign of the peripheral area by using the pattern recognition technology in the vehicle-mounted controller further comprises the following steps:
analyzing the marks of the road danger marks at the vehicle-mounted controller, and classifying image information according to the analysis result;
carrying out model matching on the result of the image analysis, the obtained classification information and the road danger identification in the information base;
and feeding back the matching result to the vehicle-mounted controller, and outputting the matching category of the road danger identification.
The invention has the beneficial effects that:
1. based on high-speed camera shooting and image recognition technologies, a binary image connected domain mark is assisted by a coordinated recommendation method, so that a vehicle driver can quickly recognize front road danger marks, particularly height limitation, width limitation, speed limitation, school, sharp bend and the like of a bridge, a culvert, a tunnel, a school, a sharp bend and the like, the images are obtained through a camera, the vehicle driver is quickly processed through hardware and software based on vision of the images, early warning is performed, the transportation safety is improved, safety accidents are reduced, and the transportation safety risk is reduced.
2. The intelligent road danger sign system adopts various voice broadcasting modes to prompt a vehicle driver how to drive on a road danger sign route all the time, and simultaneously adopts an intelligent design to ensure that the vehicle driver does not feel disgusted and the safety skill knowledge of the driver is enhanced through interaction with the vehicle driver.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a method for road hazard identification of a hazardous material transport tanker according to an embodiment of the present invention;
FIG. 2 is a functional block diagram of a system for road hazard identification of a hazardous material transport tanker according to an embodiment of the present invention.
In the figure:
1. an acquisition module; 2. a pattern recognition module; 3. a graphics processing module; 4. a monitoring module; 5. and an early warning module.
Detailed Description
For further explanation of the various embodiments, the drawings which form a part of the disclosure and which are incorporated in and constitute a part of this specification, illustrate embodiments and, together with the description, serve to explain the principles of operation of the embodiments, and to enable others of ordinary skill in the art to understand the various embodiments and advantages of the invention, and, by reference to these figures, reference is made to the accompanying drawings, which are not to scale and wherein like reference numerals generally refer to like elements.
According to an embodiment of the present invention, a method and system for road hazard identification of a hazardous material transport tanker is provided.
Referring now to the drawings and the detailed description, the invention will be further described, as shown in fig. 1, a method for road hazard identification of a hazardous materials transport tanker according to an embodiment of the invention, the method comprising the steps of:
s1, acquiring road marks of the surrounding area by using a camera based on a high-speed camera technology, and uploading the acquired road marks of the surrounding area to a vehicle-mounted controller;
s11, acquiring road marks of a peripheral area by using a camera, and calibrating a near vision area;
in addition, the road signs in the peripheral area include road signs such as a dangerous road sign, a height limit, a width limit, a speed limit, a school, a sharp curve, and the like.
S12, calibrating each pixel point in the close-range visual area in the visual imaging by adopting a binary image connected domain mark, and uploading to the vehicle-mounted controller;
in one embodiment, the calibrating each pixel point in the near vision area in the vision imaging by using a binary image connected domain mark and uploading the calibrated pixel point to the vehicle-mounted controller further includes the following steps:
s121, scanning the image until the current pixel point B (x, y) is 1: a,
s122, pushing all the adjacent foreground pixels of B (x, y) into a stack;
s123, popping up a stack top pixel, and pressing all foreground pixels adjacent to the stack top pixel into a stack;
s124, repeating the step S123 until the stack is empty, and marking the road marks of the peripheral area;
wherein x is the abscissa; y is the ordinate; a is the pixel value.
S2, preprocessing the road mark of the surrounding area, calibrating the image and extracting and identifying the characteristic information by using the image identification technology in the vehicle-mounted controller;
in one embodiment, the acquiring the road sign of the peripheral area by using the camera based on the high-speed camera technology and uploading the acquired road sign of the peripheral area to the vehicle-mounted controller further comprises the following steps:
in one embodiment, the preprocessing, image calibration and feature information extraction and identification of the road sign of the peripheral area by using the pattern recognition technology in the vehicle-mounted controller further comprises the following steps:
s21, analyzing the marks of the road danger marks in the vehicle-mounted controller, and classifying the image information of the analyzed result;
s22, carrying out model matching on the result of image analysis, the obtained classification information and the road danger identification in the information base;
and S23, feeding back the matching result to the vehicle-mounted controller, and outputting the matching category of the road danger sign.
S3, informing the processed picture information to a vehicle driver to be driven in advance in a voice prompt mode, and stopping voice broadcasting after feedback of the vehicle driver is obtained;
in one embodiment, the step of informing the vehicle driver to drive in advance of the processed picture information in a voice prompt manner, and stopping voice broadcast after obtaining feedback of the vehicle driver further includes the steps of:
s31, carrying out specific recommendation on the road danger identifications in the specific area by adopting a coordinated recommendation mode, and transmitting a recommendation result to a vehicle driver in a voice broadcast mode;
s32, adopting a voice recognition technology, and stopping broadcasting if feedback of a vehicle driver is obtained;
s33, if the feedback of the vehicle driver does not exist, continuing broadcasting;
in one embodiment, the way of coordinating recommendations includes the following steps:
the vehicle-mounted controller selects a current dangerous road mark for a current vehicle driver, and selects and inputs related problems in the mark.
Calculating the similarity of the routes to be passed by the vehicle driver, and finding the nearest dangerous road mark;
calculating to generate a recommendation data set according to the similarity of the vehicle drivers;
calculating the dangerous road mark in a certain route, and calculating the recommended value of the current vehicle driver by adopting the following formula:
wherein, p represents a recommended value,
an average estimate of the vehicle driver's route, which in this scenario application is 0; sim (u, u)i) Inputting u for vehicle driver and ith vehicle driver input uiSimilarity of (2), riIs that the vehicle driver inputs i an average estimate of the identity of the hazard road,
an average estimate of i for the dangerous road sign is input for the vehicle driver, and n is a natural number greater than 0.
S4, monitoring the mental state of the vehicle driver in real time by adopting a video probe;
in one embodiment, the monitoring of the mental state of the vehicle driver in real time by using the video probe further comprises the following steps:
s41, when the video probe finds that the mental state of the vehicle driver is not right, sending out a danger early warning voice prompt;
and S42, stopping the early warning voice if the vehicle driver adjusts the state, and stopping the danger early warning voice.
S5, adopting a vehicle-mounted video probe to monitor the distance between the vehicle and the front vehicle and the distance between the vehicle and the front vehicle on the side of the front vehicle in real time, and transmitting abnormal warning information to a vehicle driver;
in one embodiment, the method for monitoring the distance between the vehicle and the front vehicle on the side in front in real time by using the vehicle-mounted video probe and transmitting the abnormal warning information to the vehicle driver further comprises the following steps:
s51, different alarms are prompted according to different environments, and if the natural climate is normal, an early warning signal is not sent out;
and S52, if the bad natural climate appears, prompting the vehicle driver to stop at a safe place.
According to another embodiment of the present invention, as shown in FIG. 2, there is also provided a system for road hazard identification of a hazardous materials transport tanker, the system comprising:
the acquisition module 1: acquiring road marks of a peripheral area by using a camera based on a high-speed camera technology, and uploading the acquired road marks of the peripheral area to a vehicle-mounted controller;
the pattern recognition module 2: preprocessing the road marks of the peripheral area, calibrating the images and extracting and identifying the characteristic information by utilizing a pattern recognition technology in the vehicle-mounted controller;
the graphics processing module 3: informing the processed picture information to a vehicle driver to be driven in advance by adopting a voice prompt mode, and stopping voice broadcasting after feedback of the vehicle driver is obtained;
the monitoring module 4: monitoring the mental state of a vehicle driver in real time by adopting a video probe;
the early warning module 5: the vehicle-mounted video probe is adopted to monitor the distance between the vehicle and the front vehicle and the distance between the vehicle and the front vehicle on the side of the front vehicle in real time, and abnormal warning information is transmitted to a vehicle driver.
In one embodiment, the preprocessing, image calibration and feature information extraction and identification of the road sign of the peripheral area by using the pattern recognition technology in the vehicle-mounted controller further comprises the following steps:
analyzing the marks of the road danger marks at the vehicle-mounted controller, and classifying image information according to the analysis result;
carrying out model matching on the result of the image analysis, the obtained classification information and the road danger identification in the information base;
and feeding back the matching result to the vehicle-mounted controller, and outputting the matching category of the road danger identification.
In summary, according to the technical scheme of the invention, based on high-speed camera shooting and image recognition technologies, and by means of binary image connected domain marking and a coordinated recommendation method, a vehicle driver can quickly recognize road danger marks in front, especially height limitation, width limitation, speed limitation, school, sharp curve and the like of a bridge, a culvert, a tunnel, a school, a sharp curve and the like, obtain images through a camera, quickly process through hardware and software based on vision of the images, and prompt the vehicle driver through early warning, so that transportation safety is improved, safety accidents are reduced, and transportation safety risks are reduced. The intelligent road danger sign system adopts various voice broadcasting modes to prompt a vehicle driver how to drive on a road danger sign route all the time, and simultaneously adopts an intelligent design to ensure that the vehicle driver does not feel disgusted and the safety skill knowledge of the driver is enhanced through interaction with the vehicle driver.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method for road hazard identification of a hazardous material transport tanker, the method comprising the steps of:
s1, acquiring road marks of the surrounding area by using a camera based on a high-speed camera technology, and uploading the acquired road marks of the surrounding area to a vehicle-mounted controller;
s2, preprocessing the road mark of the surrounding area, calibrating the image and extracting and identifying the characteristic information by using the image identification technology in the vehicle-mounted controller;
s3, informing the processed picture information to a vehicle driver to be driven in advance in a voice prompt mode, and stopping voice broadcasting after feedback of the vehicle driver is obtained;
s4, monitoring the mental state of the vehicle driver in real time by adopting a video probe;
and S5, adopting the vehicle-mounted video probe to monitor the distance between the vehicle and the front vehicle and the distance between the vehicle and the front vehicle at the side front in real time, and transmitting abnormal warning information to a vehicle driver.
2. The method for road hazard identification of a hazardous materials transport tanker according to claim 1, wherein said acquiring the road sign of the surrounding area with a camera based on high speed camera technology and uploading the acquired road sign of the surrounding area to the onboard controller further comprises the steps of:
s11, acquiring road marks of a peripheral area by using a camera, and calibrating a near vision area;
and S12, calibrating each pixel point in the close-range visual area in the visual imaging by adopting a binary image connected domain mark, and uploading to the vehicle-mounted controller.
3. The method for road hazard identification of a hazardous materials transportation tank car according to claim 2, wherein the calibrating each pixel point in the close-range vision area with binary image connected domain mark in the vision imaging and uploading to the vehicle-mounted controller further comprises the following steps:
s121, scanning the image until the current pixel point B (x, y) is 1: a;
s122, pushing all the adjacent foreground pixels of B (x, y) into a stack;
s123, popping up a stack top pixel, and pressing all foreground pixels adjacent to the stack top pixel into a stack;
s124, repeating the step S123 until the stack is empty, and marking the road marks of the peripheral area;
wherein x is the abscissa; y is the ordinate; a is the pixel value.
4. The method for road hazard identification of a hazardous materials transportation tank car according to claim 1, wherein the preprocessing, image calibration and feature information extraction identification of the road sign of the peripheral area by using the image recognition technology in the vehicle-mounted controller further comprises the following steps:
s21, analyzing the marks of the road danger marks in the vehicle-mounted controller, and classifying the image information of the analyzed result;
s22, carrying out model matching on the result of image analysis, the obtained classification information and the road danger identification in the information base;
and S23, feeding back the matching result to the vehicle-mounted controller, and outputting the matching category of the road danger sign.
5. The method for road hazard recognition of a hazardous materials transportation tank car according to claim 1, wherein the step of informing the driver of the vehicle to be driven in advance of the processed picture information by voice prompt and stopping voice broadcast after feedback from the driver of the vehicle further comprises the following steps:
s31, carrying out specific recommendation on the road danger identifications in the specific area by adopting a coordinated recommendation mode, and transmitting a recommendation result to a vehicle driver in a voice broadcast mode;
s32, adopting a voice recognition technology, and stopping broadcasting if feedback of a vehicle driver is obtained;
and S33, if the feedback of the vehicle driver does not exist, continuing broadcasting.
6. A method for road hazard identification of a hazardous materials transport tanker according to claim 5, wherein said coordinated recommendation comprises the steps of:
the vehicle-mounted controller selects a current dangerous road mark for a current vehicle driver, and selects and inputs related problems in the mark.
Calculating the similarity of the routes to be passed by the vehicle driver, and finding the nearest dangerous road mark;
calculating to generate a recommendation data set according to the similarity of the vehicle drivers;
calculating the dangerous road mark in a certain route, and calculating the recommended value of the current vehicle driver by adopting the following formula:
wherein, p represents a recommended value,
an average estimate of the vehicle driver's route, which in this scenario application is 0; sim (u, u)i) Inputting u for vehicle driver and ith vehicle driver input uiSimilarity of (2), riIs that the vehicle driver inputs i an average estimate of the identity of the hazard road,
an average estimate of i for the dangerous road sign is input for the vehicle driver, and n is a natural number greater than 0.
7. The method for road hazard identification of a hazardous materials transport tanker according to claim 1, wherein said real time monitoring of the mental state of the vehicle driver with a video probe further comprises the steps of:
s41, when the video probe finds that the mental state of the vehicle driver is not right, sending out a danger early warning voice prompt;
and S42, stopping the early warning voice if the vehicle driver adjusts the state, and stopping the danger early warning voice.
8. The method for road hazard identification of a hazardous materials transport tanker according to claim 1, wherein said monitoring vehicle headway distance to front and side front vehicles in real time using on-board video probes, communicating abnormal alert information to vehicle drivers further comprises the steps of:
s51, different alarms are prompted according to different environments, and if the natural climate is normal, an early warning signal is not sent out;
and S52, if the bad natural climate appears, prompting the vehicle driver to stop at a safe place.
9. A system for road hazard identification of hazardous material transport tanker for implementing a method for road hazard identification of hazardous material transport tanker according to claims 1-8, characterized in that the system comprises:
an acquisition module: acquiring road marks of a peripheral area by using a camera based on a high-speed camera technology, and uploading the acquired road marks of the peripheral area to a vehicle-mounted controller;
a pattern recognition module: preprocessing the road marks of the peripheral area, calibrating the images and extracting and identifying the characteristic information by utilizing a pattern recognition technology in the vehicle-mounted controller;
a graphics processing module: informing the processed picture information to a vehicle driver to be driven in advance by adopting a voice prompt mode, and stopping voice broadcasting after feedback of the vehicle driver is obtained;
a monitoring module: monitoring the mental state of a vehicle driver in real time by adopting a video probe;
the early warning module: the vehicle-mounted video probe is adopted to monitor the distance between the vehicle and the front vehicle and the distance between the vehicle and the front vehicle on the side of the front vehicle in real time, and abnormal warning information is transmitted to a vehicle driver.
10. The system for road hazard identification of a hazardous materials transportation tank car according to claim 9, wherein the pre-processing, image calibration and feature information extraction identification of the road sign of the peripheral area by using image recognition technology in the vehicle-mounted controller further comprises the following steps:
analyzing the marks of the road danger marks at the vehicle-mounted controller, and classifying image information according to the analysis result;
carrying out model matching on the result of the image analysis, the obtained classification information and the road danger identification in the information base;
and feeding back the matching result to the vehicle-mounted controller, and outputting the matching category of the road danger identification.
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Citations (8)
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