CN105460010A - Safety identification reaction system and method for vehicle - Google Patents

Abstract

The invention relates to the field of intelligent identification, in particular to an intelligent night road surface safety identification and response system for vehicles. The system is used in a vehicle. The system analyzes the image obtained by shooting the mesh light path of the road ahead of the vehicle and judges the danger level of the road environment ahead of the vehicle, and determines the corresponding Control the reaction parts of the vehicle to perform corresponding actions according to the action instructions to realize the adjustment of the driving state of the vehicle. The invention also relates to a vehicle safety identification reaction method. The invention can provide part of intelligent judgment for the driver, so that the driver who works at night does not need to be excessively and continuously nervous, and further can avoid the danger caused by the insufficient reaction time of the driver when encountering an emergency.

Description

System and method for vehicle safety identification and response

technical field

The invention relates to the field of intelligent identification, in particular to a vehicle-used intelligent night road surface safety identification response system and method.

Background technique

It is inevitable for vehicles to travel at night, but drivers are prone to fatigue when driving at night, and the driving environment at night is relatively harsh. Drivers often cannot react quickly to some special environments, such as road potholes, due to short reaction time and may lead to accidents.

Contents of the invention

In view of this, it is necessary to provide a vehicle safety identification response system and method to solve the above problems.

A safety recognition and response system for a vehicle is applied in a vehicle, the vehicle includes a grid light source, a camera, a processing unit, a storage unit and a reaction component, the processing unit runs the system, and the grid light source is used in the vehicle A mesh optical path is formed in front of the road, and the camera is used to capture images of the mesh optical path. The storage unit stores a large number of feature pictures including the vehicle road environment, wherein each feature picture corresponds to The dangerous level information of the road ahead. The storage unit also stores the relationship table between the dangerous level of the road ahead of the vehicle and the action command. The relationship between the action instructions, the reaction component is used to respond to the operation of an instruction action to adjust the vehicle, the system includes:

The reading module is used to obtain the image obtained by the camera shooting the mesh light path on the road ahead of the vehicle;

The analysis module is used to analyze the images acquired in the reading module and determine the danger level of the road environment ahead of the vehicle;

The execution module is used to control the reaction components of the vehicle to perform corresponding actions according to the risk level of the road environment ahead determined by the analysis module and the action command corresponding to the risk level and the action command relationship table, and adjust the driving state of the vehicle.

A vehicle safety identification response method, applied in a vehicle, the method includes the steps of:

Obtain the image obtained by the camera shooting the mesh light path on the road in front of the vehicle;

Analyze the acquired images and judge the danger level of the road environment ahead of the vehicle;

According to the determined risk level of the road environment ahead and the action command corresponding to the risk level and the action command relationship table, the reaction components of the vehicle are controlled to perform corresponding actions, and the driving state of the vehicle is adjusted.

By adopting the vehicle safety identification response system and method of the present invention, the image obtained by taking pictures of the network light path of the road ahead of the vehicle is analyzed to determine the danger level of the road environment ahead of the vehicle, and according to the determined danger level And the risk level and action command relationship table determines the corresponding action command to control the reaction components of the vehicle to perform corresponding actions, so as to realize the adjustment of the driving state of the vehicle. The invention can provide part of intelligent judgment for the driver, so that the driver who works at night does not need to be excessively and continuously nervous, and further can avoid the danger caused by the insufficient reaction time of the driver when encountering an emergency.

Description of drawings

FIG. 1 is a vehicle safety identification and response system according to an embodiment of the present invention.

Fig. 2 is a diagram of the mesh optical path in the present invention.

FIG. 3 is a functional module diagram of a vehicle safety identification and response system according to an embodiment of the present invention.

FIG. 4 is a flow chart of a vehicle safety identification response method according to an embodiment of the present invention.

Description of main component symbols

Vehicle Safety Recognition Response System 100 vehicle 200 read module 110 analysis module 120 execution module 130 grid light source 10 camera 20 processing unit 30 storage unit 40 React component 50 Mesh light path 12 cable 14 grid 16 black hole 18 Voice Prompt Parts 52 brake parts 54

The following specific embodiments will further illustrate specific embodiments of the present invention in conjunction with the above-mentioned drawings.

detailed description

The vehicle safety identification response system and method of the present invention will be further described in detail below in conjunction with the accompanying drawings.

Please refer to FIG. 1 , which is an operating environment diagram of a vehicle safety identification and response system 100 according to an embodiment of the present invention. The system runs in a vehicle 200 , and the vehicle 200 includes a grid light source 10 , a camera 20 , a processing unit 30 , a storage unit 40 and a reaction component 50 . The grid light source 10 is located at the headlight of the vehicle 200 for emitting grid light. Wherein, the grid light source 10 can provide illumination when the vehicle 200 is driving so that the driver can clearly see the scene at the front of the road and form a mesh light path 12 in front of the road of the vehicle 200 , please refer to FIG. 2 . The mesh optical path 12 is a grid pattern formed by the interweaving of several parallel horizontal and vertical light rays. In this embodiment, the grid light source 10 can form a mesh light path 12 50 meters from the front end of the vehicle 200. Of course, the distance between the mesh light path 12 and the vehicle 200 can be adjusted by adjusting the intensity of the grid light source 10 as required. . When the road ahead of the vehicle 200 is flat, the mesh light path 12 formed by the grid light source 10 is clear and smooth, and the mesh lines 14 in the mesh light path 12 are straight lines. When there are pits on the road in front of the vehicle 200, the grid light path 12 formed by the grid light source 10 is not smooth, and the mesh line 14 at the position corresponding to the pit on the mesh light path 12 bends and presents a "v" shape. shape, the larger the size of the pit, the greater the bending degree of the network cable 14 showing a "V" shape at the corresponding position of the mesh optical path 12, and when the size of the pit exceeds a certain limit, the mesh optical path 12 and the position of the pit The corresponding mesh wire 14 is missing, forming a "black hole" 18 shown in FIG. 2 . When there is a bump on the road ahead of the vehicle 200, the mesh light path 12 formed by the grid light source 10 is not smooth, and the mesh wire 14 at the position corresponding to the bump on the mesh light path 12 is bent and presents an "n" shape. , the larger the size of the bump, the greater the bending degree of the "n"-shaped network cable 14 at the corresponding position of the mesh optical path 12, and when the size of the bump exceeds a certain limit, it will correspond to the position of the bump on the mesh optical path 12 The network cable 14 at the place will also be missing, and form " black hole " 18. Of course, grid light sources 10 of different sizes can be used to adjust the size of the grid 16 in the mesh optical path 12 as required, so as to distinguish whether there are obstacles such as pits or bumps at the front end of the road. Wherein, the smaller the grid 16 of the mesh optical path 12 is, the stronger the capability of distinguishing the pits and bumps at the front end of the road is.

The camera 20 is used to photograph the meshed light path 12 formed by the grid light source 10 irradiating at the front end of the vehicle road to obtain an image of the meshed light path 12 . The storage unit 40 stores a large number of characteristic images of the road environment including the vehicle 200, wherein each characteristic image is a partial mesh optical path image including the characteristics of the road environment, and each characteristic image corresponds to the danger level information of the road ahead. . The storage unit 40 also stores a relationship table between risk levels of the road environment ahead of the vehicle 200 and action commands. The relationship table defines the relationship between the danger level of the road environment where the vehicle 200 is currently driving and the action instructions that the vehicle 200 needs to execute to maintain a relatively safe state. The reaction component 50 is used for adjusting the vehicle 200 in response to the operation of an instruction action. In this embodiment, the system 100 is a program embedded in the processing unit 30 . In other implementation manners, the system 100 is stored in the storage unit 40 and can be called and executed by the processing unit 30 . The system 100 is used to acquire the image obtained by the camera 20 on the mesh optical path 12 of the road ahead of the vehicle 200 and analyze and process the image, and judge the danger of the road environment where the vehicle 200 is currently driving after analyzing the image. level, and determine the corresponding action command according to the relationship table between the dangerous level of the vehicle 200 currently traveling on the road surface and the action command to control the reaction component 50 to operate and adjust the driving state of the vehicle 200 .

Please refer to FIG. 3 , which is a functional block diagram of the vehicle safety identification and response system 100 in an embodiment of the present invention. The system includes a reading module 110 , an analyzing module 120 and an executing module 130 . The reading module 110 is used to acquire an image obtained by the camera 20 shooting the mesh optical path 12 on the road ahead of the vehicle 200 . Wherein, when the road surface in front of the vehicle 200 is flat, the mesh optical path 12 in the image acquired by the reading module 110 is smooth, and the mesh lines 14 in the mesh optical path 12 are straight lines, and pits or bumps appear on the front road surface. When block, the mesh optical path 12 in the image acquired by the reading module 110 is uneven, and the mesh wire 14 in the mesh optical path 12 is bent.

The analyzing module 120 is used for analyzing the images acquired in the reading module 110 and judging the danger level of the road environment ahead of the vehicle 200 . Wherein, the analysis module 120 compares the obtained image of the mesh optical path 12 on the road ahead with the characteristic image stored in the storage unit 40 to determine the danger level of the road environment ahead of the vehicle 200 . Specifically, the analysis module 120 scans and analyzes the obtained image of the reticular optical path 12, marks the uneven part in the image and the curved portion of the network cable 14 in the reticulated optical path 12, and compares them with the characteristic pictures stored in the storage unit 40. By comparison, a feature image containing road environment features closest to the mark is determined, and the risk level of the road environment ahead of the vehicle 200 is determined according to the feature image and the risk level of the road environment ahead corresponding to the feature image.

In this embodiment, the analysis module 120 determines different risk levels according to the flatness of the mesh optical path 12 and the bending degree of the mesh cable 14 in the feature image. Wherein, if the characteristic image shows that the mesh optical path 12 is uneven and the mesh cable 14 of the mesh optical path 12 is slightly bent, the analysis module 120 determines that the risk level corresponding to the characteristic image is a minor risk. If the mesh optical path 12 is uneven in the characteristic image and the network cable 14 of the mesh optical path 12 has a large degree of bending and some missing features, then the analysis module 120 determines that the risk level corresponding to the characteristic image is a higher risk . If the characteristic image shows that the mesh optical path 12 is uneven and the network cable of the mesh optical path 12 is missing and has the characteristics of a "black hole" 18, then the analysis module 120 determines that the hazard level corresponding to the characteristic image is very dangerous.

The execution module 130 controls the reaction component 50 of the vehicle 200 to perform corresponding actions according to the risk level of the road environment ahead determined by the analysis module 120 and the action command corresponding to the risk level and the action command relationship table, and adjusts the driving state of the vehicle. Wherein, the correspondence table defines: when the danger level of the road ahead is relatively low, the corresponding command action is to warn the driver to slow down; when the danger level of the road ahead is relatively high, the corresponding command action is To control the vehicle 200 to automatically decelerate; when the danger level of the road ahead is very dangerous, the corresponding instruction action is to control the vehicle 200 to brake automatically.

Specifically, the reaction component 50 includes a voice prompt component 52 and a braking component 54 . When the analysis module 120 judges that the danger level of the road environment ahead is relatively low, the execution module 130 generates a corresponding control signal to control the voice prompt component 52 to remind the driver to slow down. When the analysis module 120 judges that the danger level of the road environment ahead is relatively high, the execution module 130 generates a corresponding control signal to control the action of the braking component 54 to automatically decelerate the vehicle. When the analysis module 120 determines that the danger level of the road environment ahead is very dangerous, the execution module 130 generates a corresponding control signal to control the action of the brake component 54 so that the vehicle automatically brakes.

Please refer to FIG. 4 , which is a flow chart of a vehicle security identification response method according to an embodiment of the present invention. The method is applied in the vehicle 200, and the method includes the steps of:

S301: Obtain an image obtained by the camera 20 shooting the mesh optical path 12 on the road ahead of the vehicle 200 . Wherein, when the road surface ahead of the vehicle 200 is smooth, the mesh optical path 12 in the acquired image is smooth, and the mesh lines 14 in the mesh optical path 12 are straight lines. The mesh optical path 12 in the image is uneven, and the mesh wires 14 in the mesh optical path 12 are bent.

S302: Analyzing the acquired image and determining the danger level of the road environment ahead of the vehicle 200 . Wherein, the characteristic image corresponding to the image is determined by comparing the obtained image of the mesh optical path 12 on the road ahead with the characteristic image stored in the storage unit 40, and the corresponding characteristic image is determined according to the risk level corresponding to the characteristic image. The danger level of the road surface environment ahead of the vehicle 200 .

S303: Control the reaction component 50 of the vehicle 200 to perform corresponding actions according to the determined risk level of the road environment ahead and the action command corresponding to the risk level and the action command relationship table, and adjust the driving state of the vehicle 200 . Wherein, the correspondence table defines: when the danger level of the road ahead is relatively low, the corresponding command action is to warn the driver to slow down; when the danger level of the road ahead is relatively high, the corresponding command action is To control the vehicle 200 to automatically decelerate; when the danger level of the road ahead is very dangerous, the corresponding instruction action is to control the vehicle 200 to brake automatically.

Although the preferred embodiments of the present invention have been illustrated and described, those skilled in the art will appreciate that the description of the above embodiments is only used to help understand the present invention, and for those skilled in the art, according to the idea of the present invention, Various changes and improvements can be made in the specific implementation and application range, and these do not go beyond the true scope of the present invention.

Claims (8)

1. a vehicle safety recognition reaction system, be applied in a vehicle, this vehicle comprises grid light sources, camera, processing unit, memory cell and reaction part, this processing unit runs this system, this grid light sources is used for forming netted light path at the road ahead of vehicle, this camera is used for taking this netted light path and obtaining this netted light path image, this cell stores has the feature image comprising vehicle road environment in a large number, wherein, each feature image one_to_one corresponding has the harmful grade information of road surface ahead, this memory cell also stores the harmful grade of road surface ahead environment and the relation table of action command of vehicle, the road environment and the vehicle that define vehicle current driving in this relation table are keep the relation between the required action command performed of comparatively safe state, this reaction part realizes the adjustment carried out this vehicle for the operation responding an instruction action, it is characterized in that, this system comprises:

Read module, takes and the image obtained for obtaining the netted light path of camera to the road surface ahead at this vehicle;

Analysis module, for analyzing the image obtained in read module and judging the harmful grade of the road surface ahead environment of vehicle;

For the harmful grade of road surface ahead environment determined according to analysis module and this harmful grade and action command relation table, execution module, determines that the reaction part that corresponding action command controls vehicle carries out corresponding action, the motoring condition of adjustment vehicle.

2. vehicle safety recognition reaction system as claimed in claim 1, it is characterized in that, this analysis module is by comparing the information of the characteristic image stored in the image of the netted light path about road surface ahead obtained and memory cell, determine characteristic of correspondence image, and determine that harmful grade that this characteristic image is corresponding is to judge the harmful grade of the road surface ahead environment of vehicle.

3. vehicle safety recognition reaction system as claimed in claim 2, it is characterized in that, this analysis module is also defined as different harmful grades according to the difference of the planarization of light path netted in feature image and the degree of crook of netting twine, if there is netted light path unfairness in this feature image and the less feature of the netting twine degree of crook of this netted light path, then analysis module determines that the harmful grade corresponding with this feature image is lesser hazard; If there is netted light path unfairness in this feature image and the netting twine degree of crook of this netted light path is comparatively large and there is the feature of excalation, then analysis module determines that the harmful grade corresponding with this feature image is higher risk; If there is netted light path unfairness in this feature image and the netting twine of this netted light path disappearance and be formed with the feature in " black hole ", then analysis module determines that the harmful grade corresponding with this is abnormally dangerous.

4. vehicle safety recognition reaction system as claimed in claim 1, it is characterized in that, this mapping table defines: the instruction action corresponding with it when the harmful grade of road surface ahead is lower danger is alerting driver Reduced Speed Now; The instruction action corresponding with it when the harmful grade of road surface ahead is higher risk travels for controlling vehicle automatic retarding; The instruction action corresponding with it when the harmful grade of road surface ahead is abnormally dangerous is for controlling vehicle self-actuating brake.

5. a vehicle safety recognition reaction method, be applied in a vehicle, it is characterized in that, the method comprising the steps of:

The image that the netted light path of acquisition camera to the road surface ahead at this vehicle is taken and obtained;

The image got is analyzed and judges the harmful grade of the road surface ahead environment of vehicle;

Determine that the reaction part that corresponding action command controls vehicle carries out corresponding action, the motoring condition of adjustment vehicle according to the harmful grade of the road surface ahead environment determined and this harmful grade and action command relation table.

6. vehicle safety recognition reaction method as claimed in claim 5, is characterized in that, " analyzes the image got and judge the harmful grade of the road surface ahead environment of vehicle " to comprise in step:

The information of the characteristic image stored in the image of the netted light path about road surface ahead obtained and memory cell is compared, determine characteristic of correspondence image, and determine that harmful grade that this characteristic image is corresponding is to judge the harmful grade of the road surface ahead environment of vehicle.

7. vehicle safety recognition reaction method as claimed in claim 6, it is characterized in that, difference according to the planarization of light path netted in feature image and the degree of crook of netting twine is defined as different harmful grades: if there is netted light path unfairness in this feature image and the less feature of the netting twine degree of crook of this netted light path, then defining the harmful grade corresponding with this feature image is lesser hazard; If there is netted light path unfairness in this feature image and the netting twine degree of crook of this netted light path is comparatively large and there is the feature of excalation, then defining the harmful grade corresponding with this feature image is higher risk; If there is netted light path unfairness in this feature image and the netting twine of this netted light path disappearance and be formed with the feature in " black hole ", then it is abnormally dangerous for defining the harmful grade corresponding with this feature image.

8. vehicle safety recognition reaction method as claimed in claim 5, it is characterized in that, this mapping table defines: the instruction action corresponding with it when the harmful grade of road surface ahead is lower danger is alerting driver Reduced Speed Now; The instruction action corresponding with it when the harmful grade of road surface ahead is higher risk travels for controlling vehicle automatic retarding; The instruction action corresponding with it when the harmful grade of road surface ahead is abnormally dangerous is for controlling vehicle self-actuating brake.