CN111757329A - Safe driving prompting method and device and computer equipment - Google Patents
Safe driving prompting method and device and computer equipment Download PDFInfo
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Abstract
The invention discloses a safe driving prompting method, a safe driving prompting device and computer equipment, wherein the method comprises the following steps: when the vehicle has a safe driving influence factor, acquiring the network message information of the vehicle and the driving information of the vehicle in real time; inputting the network message information and the driving information into a safety state judgment model trained in advance to obtain the network state of the vehicle; and when the vehicle network is safe, sending safe driving prompt information through the network. The network safety state of the vehicles is judged through the safety state judgment model, the network safety during the communication between the vehicles is ensured, the communication information between the vehicles is prevented from being falsified in the communication process, the communication safety between the vehicles is realized, the confidentiality, the integrity and the usability of information safety protection are achieved, and the driving early warning, the road danger early warning and the collision early warning are realized by sending prompt information to other vehicles, so that the safe driving is ensured.
Description
Technical Field
The invention relates to the technical field of information safety, in particular to a safe driving prompting method and device and computer equipment.
Background
Along with the economic development and the improvement of the living standard of people, the number of automobiles is more and more, the roads are more and more complex, and the driving safety becomes an important problem to be paid attention to by car owners.
An Intelligent networked Vehicle (ICV) refers to a multi-Vehicle system that is based on a Vehicle, a mounted sensor, a controller, an actuator, and other devices, and integrates communication and network technologies, so that information interaction between the Vehicle and nodes in an external environment (e.g., other vehicles, a cloud, infrastructure, a base station, and the like) is achieved. However, in the information interaction process, the network intrusion is easily implemented by people and the communication information is easily tampered to influence the safety of the networked vehicles, so a safe driving prompting method is urgently needed to be provided to enhance the communication between the vehicles to ensure the traffic safety of the vehicles.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the defect that driving is unsafe due to information tampering by hackers in the information interaction process in the prior art, thereby providing a safe driving prompting method, a safe driving prompting device and computer equipment.
According to a first aspect, the embodiment of the invention discloses a safe driving prompting method, which comprises the following steps: when the vehicle has a safe driving influence factor, acquiring the network message information of the vehicle and the driving information of the vehicle in real time; inputting the network message information and the driving information into a safety state judgment model trained in advance to obtain the network state of the vehicle; and when the vehicle network is safe, sending safe driving prompt information through the network.
Optionally, before the network message information of the vehicle and the driving information of the vehicle are obtained in real time when the vehicle has a safe driving influence factor, the method further includes: acquiring the running information and the environmental information of the vehicle in real time; and determining whether a safe driving influence factor exists in a preset area of the current position of the vehicle according to the driving information and the environmental information of the vehicle.
Optionally, when the vehicle network is safe, sending the safe driving prompt information through the network includes: and sending safe driving prompt information to other vehicles in the target area through the self-organizing network, wherein the vehicles are in wireless communication connection with the other vehicles in the target area through the self-organizing network.
Optionally, the method further comprises: acquiring training data, wherein the training data comprises driving information of historical normal driving of a vehicle and corresponding safe network message information; and inputting the training data into a machine learning model for training to obtain a safety state judgment model.
Optionally, the safety driving influence factor is a vehicle to be passed at the intersection, and the prompt information includes a prompt for controlling the acceleration of the vehicle to be passed at the intersection.
Optionally, the safety driving influencing factor is a blind spot region, and the prompt information includes an image of the blind spot region.
Optionally, the sending, by the ad hoc network, the safe driving prompt message to other vehicles in the target area includes: when the position of the other vehicle is in the preset area, the safe driving prompt message is sent through the self-organizing network at a first power and a first speed; and when the positions of the other vehicles exceed the preset area, sending the safe driving prompt information at a second power and a second speed through the self-organizing network, wherein the first power is smaller than the second power, and the first speed is larger than the second speed.
According to a second aspect, an embodiment of the present invention further discloses a safe driving prompt apparatus, including: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring network message information of a vehicle and driving information of the vehicle in real time when the vehicle has a safe driving influence factor; the first input module is used for inputting the network message information and the driving information into a safety state judgment model trained in advance to obtain the network state of the vehicle; and the sending module is used for sending the safe driving prompt information through the network when the vehicle network is safe.
According to a third aspect, an embodiment of the present invention further discloses a computer device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the steps of the method of providing driving safety information as set forth in the first aspect or any one of the optional embodiments of the first aspect.
According to a fourth aspect, the embodiments of the present invention further disclose a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the safe driving prompting method according to the first aspect or any optional embodiment of the first aspect.
The technical scheme of the invention has the following advantages:
the safe driving prompting method and the safe driving prompting device provided by the invention comprise the steps of acquiring the network message information of the vehicle and the driving information of the vehicle in real time when the vehicle has a safe driving influence factor, inputting the network message information and the driving information into a safety state judgment model trained in advance to obtain the network state of the vehicle, and sending the safe driving prompting information through a network when the vehicle network is safe. The network safety state of the vehicles is judged through the safety state judgment model, the network safety during the communication between the vehicles is ensured, the communication information between the vehicles is prevented from being falsified in the communication process, the communication safety between the vehicles is realized, the confidentiality, the integrity and the usability of information safety protection are achieved, and the driving early warning, the road danger early warning and the collision early warning are realized by sending prompt information to other vehicles, so that the safe driving is ensured.
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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of a safe driving prompting method in an embodiment of the present invention;
FIG. 2 is a diagram of an exemplary embodiment of a vehicle waiting to pass at an intersection;
fig. 3 is a schematic block diagram of a specific example of a safe driving prompt device in an embodiment of the present invention;
FIG. 4 is a diagram of an exemplary computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The vehicle comprises but is not limited to an environment perception module, a communication module, a positioning module, a judgment decision module, a control module and an execution module. The environment sensing module includes, but is not limited to, a camera, a night vision device, a laser radar, a millimeter wave radar, an ultrasonic sensor, a dynamic stability control system, etc. to sense the driving speed, the driving direction, the moving posture, the road traffic condition, etc. of the vehicle, wherein the dynamic stability control system can integrate its own camera, sensor, etc. The communication module includes, but is not limited to, short-range communication technology, bluetooth, WIFI, Zigbee communication technology (Zigbee), radio frequency Identification communication technology (RFID), radio frequency Identification (LTE), radio frequency bandwidth communication technology (UWB), fourth generation mobile communication technology 4G, fifth generation mobile communication technology 5G, Narrow Band Internet of things (NB-IOT) based on cellular, Long Term Evolution (LTE), and any one or more of IEEE802.11P-based or IEEE1609 standard protocols to communicate with other vehicles, environment sensing modules, and the like. The positioning module can adopt Beidou and a Global Positioning System (GPS). The execution module includes, but is not limited to, an engine actuator, a motor actuator, a brake actuator, and the like.
In addition, the vehicle may be provided with a wheel rotation speed sensor, an acceleration sensor, a micro-mechanical gyroscope, a steering wheel angle sensor, an accelerometer, an inertial navigation sensor, and the like to acquire vehicle attitude data such as acceleration, a yaw angle, and the like of the vehicle. Specifically, inertial navigation algorithms may be employed to calculate attitude, velocity, and position parameters of the vehicle. For example, the attitude matrix of the vehicle is calculated in real time by acquiring data of a micromechanical gyroscope and an accelerometer; the method comprises the steps of acquiring data in a GPS positioning module, acquiring positioning data at the moment, further acquiring motion attitude and position data of a vehicle through attitude solution, calculating the speed and displacement of other vehicles through integration, and then solving the coordinate positions of other vehicles by combining the course angle of an inertial navigation sensor.
The safe driving prompting method can be applied to vehicles based on internet, and real-time communication between the vehicles and the vehicles (V2V) and between the vehicles and road Infrastructure (V2I) is realized. The road infrastructure can transmit information such as the state of a traffic light, the time required for switching the state of the traffic light next time, the position and direction of an intersection, and the like to the vehicle through the V2I technology.
The embodiment of the invention discloses a safe driving prompting method, as shown in figure 1, comprising the following steps:
s101: and when the vehicle has the influence factors on safe driving, acquiring the network message information of the vehicle and the driving information of the vehicle in real time.
For example, the safe driving influencing factors may include: vehicles waiting to pass through at the intersection, blind spot areas, road barriers and the like. The blind spot region may include a region where the line of sight is blocked, such as a place to be turned and an adjacent vehicle. The embodiment of the invention does not specifically limit the influence factors of safe driving and the blind spot area, and a person skilled in the art can set the influence factors and the blind spot area according to actual conditions.
The network message information may include basic information such as network message frequency, network message sending time, and data ID of the network message, and extension information such as source address, destination address, work content, and fault code. The embodiment of the present invention does not specifically limit the network message information, and those skilled in the art can set the network message information according to actual situations. The travel information may include: the steering wheel turns, the speed, the acceleration, the clutch information, the engine speed, the air intake amount and the like, and the embodiment of the invention does not limit the running information, and the running information can be set by a person skilled in the art according to the actual situation. The driving information of the vehicle may be obtained in real time through the environment sensing module, various sensors, a gyroscope, an accelerometer, and the like. The network message information may be obtained via transmitted messages, which may be captured via a network interception tool (e.g., Wireshark).
S102: and inputting the network message information and the driving information into a safety state judgment model trained in advance to obtain the network state of the vehicle.
Illustratively, the network message information and the driving information acquired in real time are input into a safety state judgment model trained in advance to obtain the network state of the vehicle. The network state of the vehicle comprises a safe state without being invaded and a dangerous state which is possibly invaded, whether safety driving reminding information needs to be sent through the network is determined according to the network state of the vehicle, if the safety driving reminding information is safe, step S103 is executed, and if the safety driving reminding information is dangerous, the safety driving reminding information is not sent.
S103: and when the vehicle network is safe, sending safe driving prompt information through the network.
Illustratively, the prompt message may be one or more of a light signal, an audio signal, and a video signal. The transmission of the safe driving advice information over the network may be such that beacon messages are periodically broadcast over the control channel in the manner of broadcast beacon messages so that vehicles within the network can perceive the information at the data link layer. The beacon message may include vehicle identification information, vehicle speed, vehicle direction, and vehicle orientation information, and the like. If ieee e802.11p is used as the data link layer standard protocol, the beacon message can be broadcast using a 10MHz channel, 3 to 27Mbps data transmission rate.
The safe driving prompting method provided by the invention comprises the steps of acquiring the network message information of the vehicle and the driving information of the vehicle in real time when the vehicle has a safe driving influence factor, inputting the network message information and the driving information into a safety state judgment model trained in advance to obtain the network state of the vehicle, and sending the safe driving prompting information through the network when the vehicle network is safe. The network safety state of the vehicles is judged through the safety state judgment model, the network safety during the communication between the vehicles is ensured, the communication information between the vehicles is prevented from being falsified in the communication process, the communication safety between the vehicles is realized, the confidentiality, the integrity and the usability of information safety protection are achieved, and the driving early warning, the road danger early warning and the collision early warning are realized by sending prompt information to other vehicles, so that the safe driving is ensured.
As an optional embodiment of the present invention, before step S101, the method for prompting safe driving further includes:
first, the running information and the environmental information of the vehicle are acquired in real time.
Illustratively, the environmental information may include road information, traffic light information, information of other vehicles on the road, obstacle information, pedestrian information, and the like. The embodiment of the present invention does not limit the environmental information, and those skilled in the art can set the environmental information according to actual situations. The environmental information can be acquired in real time through various vehicle-mounted sensors, a positioning module, a V2I technology and the like. The content of the driving information and the obtaining manner of the driving information may specifically refer to the description of step S101, and are not described herein again.
And secondly, determining whether a safe driving influence factor exists in a preset area of the current position of the vehicle according to the driving information and the environment information of the vehicle.
For example, the preset area may be an area with the current position of the vehicle as an origin and a preset distance as a radius, and the preset distance may be 200 meters or 500 meters.
Whether safe driving influence factors exist in a preset area of the current position of the vehicle or not can be determined according to the driving information and the environment information of the vehicle, namely the driving information and the environment information are input into a convolutional neural network model trained in a judgment decision module in advance to obtain a result, and the determination can also be directly performed according to the driving information and the environment information, for example, whether vehicles waiting for passing at an intersection exist or not is determined according to information shot by a camera. The determination method of the safe driving influence factor is not particularly limited in the embodiment of the invention, and can be set by a person skilled in the art according to actual conditions.
As an alternative embodiment of the present invention, the step S103 includes:
firstly, safety driving prompt information is sent to other vehicles in the target area through the self-organizing network, and the vehicles are in wireless communication connection with the other vehicles in the target area through the self-organizing network.
By way of example, an ad hoc network refers to a mobile network that is ad hoc and free of fixed structures. The ad hoc network may be based on an Independent Basic Service Set (IBSS). The media access control protocol adopts methods of carrier sense and multiple access to avoid congestion caused by too many vehicle nodes, namely, new vehicles can be added on the premise of meeting the signal strength. The target area may be an area covered by the ad hoc network, that is, a prompt is sent to all vehicles within the ad hoc network.
Secondly, the self-organizing network CAN be a vehicle-mounted CAN bus network or a zigbee network, and the self-organizing network is not particularly limited in the embodiment of the invention, and CAN be set by a person skilled in the art according to actual conditions. The embodiment of the invention takes a self-organizing network as an example of a vehicle-mounted CAN bus network.
In order to further improve the inter-vehicle communication security, in the embodiment of the present invention, public key-based license information may be adopted, and the prompt information may be encrypted by using a public key. For example, the vehicle encrypts the prompt information by using the public key of the other vehicle, sends the encrypted information to the other vehicle through the network, and the other vehicle decrypts the information by using the private key of the other vehicle after receiving the information to obtain the prompt information. The public keys of other vehicles can be obtained through the vehicle-mounted self-organizing network request.
As an optional implementation manner of the present invention, the safe driving prompting method further includes:
firstly, training data is obtained, wherein the training data comprises the driving information of the historical normal driving of the vehicle and the corresponding safe network message information. The method for acquiring the training data is the same as the method for acquiring the driving information and the network message information, and is not described herein again.
And secondly, inputting the training data into a machine learning model for training to obtain a safety state judgment model.
Illustratively, the training data is input into the machine learning model for fully supervised or weakly supervised training, resulting in a safety state judgment model. The training method is not particularly limited in the embodiment of the present invention, and those skilled in the art can set the training method according to actual situations.
The machine learning model may be a convolutional neural network that includes a convolutional layer, a normalization layer, a pooling layer, and a fully-connected layer. The convolution layer is used for carrying out inner product operation on the convolution kernel and each input training data; the normalization layer is used for limiting the output result of the convolution layer within a preset range; the pooling layer is used for performing dimension reduction processing on the output of the normalization layer so as to reduce the operation complexity; the full-connection layer takes the output result of the pooling layer as input, applies an activation function (such as a sigmoid function, a tanh function, a ReLU function and the like) to obtain candidate output results, calculates the likelihood probability of each candidate output result through a likelihood function, then takes the candidate result with the maximum likelihood probability as a classification result, and can judge whether the network intrusion behavior exists in the network according to the classification result.
The method for determining the connection weight of the convolutional neural network may be configured to, in order to calculate the mathematical expectation of the historical normal driving information, construct a least square function according to the historical normal driving information and the mathematical expectation of the historical normal driving information, and determine the connection weight adjustment value according to the least square function:
the connection weight adjustment value may be determined according to the following formula:
where μ denotes a learning rate, and a specific value may be set according to actual conditions, for example, 1, 2, 3, etc.; Δ w represents a weight adjustment value; e represents a least squares function; w represents a weight.
The connection weight adjustment value may also be determined by: (1) determining a connection weight adjustment value between the convolutional layer and the hidden layer: multiplying the derivative of the activation function with the input of the convolutional layer; (2) determining a connection weight adjustment value between the hidden layer and the full connection layer: and respectively calculating the derivative of the error function, and multiplying the derivative of the error function, the derivative of the activation function and the derivative of the connection weight between the hidden layer and the full-connection layer. And multiplying the connection weight adjustment value between the convolutional layer and the hidden layer by the connection weight adjustment value between the hidden layer and the full connection layer to obtain the connection weight adjustment value of the convolutional neural network. The connection weight adjustment value is not particularly limited in the embodiment of the present invention, and may be set by a person skilled in the art according to actual conditions.
And after the connection weight adjustment value is obtained, determining the connection weight by combining the initial value of the connection weight and the connection weight adjustment value.
Specifically, the initial value of the connection weight may be determined according to the number of the above-described convolutional neural network inputs, for example, may be determined according to a relation (-2N to 2N). Where N represents the number of convolutional neural network inputs. The initial value of the connection weight is determined by the method, so that the calculation amount can be reduced, a large amount of processor resources are prevented from being consumed, and the calculation efficiency is improved. For example, if the input to the convolutional neural network is: the initial values of the connection weight can be selected from (-12).
As an optional implementation manner of the invention, the safe driving influencing factor is the vehicle to be passed at the intersection, and the prompt information comprises a prompt for controlling the acceleration of the vehicle to be passed at the intersection.
Illustratively, when the influence factor of safe driving is a vehicle to be passed at the intersection, the vehicle to be passed at the intersection is other vehicles in the target area, and the vehicle CAN send prompt information to the vehicle to be passed at the intersection through the vehicle-mounted CAN self-organized bus network, wherein the prompt information includes a prompt for controlling acceleration of the vehicle to be passed at the intersection.
As shown in fig. 2, when the vehicle 2 is at the intersection to be passed, taking the case that the vehicle 1 collides with the vehicle 2 to be passed at the intersection as an example, the remaining time of the intersection traffic light indicating passage is acquired from the road traffic facility through a V2I communication mode, and the vehicle 2 is prompted to control the acceleration by sending the prompting information of safe driving to the vehicle 2 through the vehicle-mounted CAN ad hoc bus network according to the remaining time, so that the vehicle 2 is accelerated to drive after the vehicle 1 completely passes through the intersection, thereby preventing the vehicle collision and improving the road passing safety.
As an optional embodiment of the present invention, the safety driving influencing factor is a blind spot region, and the prompt information includes an image of the blind spot region.
For example, as shown in fig. 2, after the vehicle 1 detects the blind spot area through a camera, a sensor, a radar, etc., it may send a safety prompt message to the other perceived vehicles 2, where the safety prompt message includes an image of the blind spot area, and the vehicle 2 may take corresponding measures according to the prompt message, such as deceleration, acceleration, braking, parking, lane change, etc., so as to avoid the vehicle 2 from being in danger.
As an optional embodiment of the present invention, sending the safe driving prompt information to other vehicles in the target area through the ad hoc network includes:
and when the positions of other vehicles are in the preset area, sending safe driving prompt information at a first power and a first speed through the self-organizing network.
And when the positions of other vehicles exceed the preset area, sending safe driving prompt information at a second power and a second speed through the self-organizing network, wherein the first power is less than the second power, and the first speed is greater than the second speed.
For example, when a new vehicle accesses the ad hoc network, the density of vehicles in a local area is increased, and a channel congestion problem may be caused. In the embodiment of the present invention, other vehicles within the preset area are referred to as neighboring vehicles, and other vehicles exceeding the preset area are referred to as distant neighboring vehicles. When the influence factors of safe driving exist, the vehicle sends safety prompt information to other vehicles, and the safety prompt information is sent at different rates and different powers, so that the information is staggered in time, the congestion of a channel is reduced, and the optimal allocation of channel resources is realized. Specifically, the safe driving prompting information is sent to the neighboring vehicle at a low-power high-speed rate, and the safe driving prompting information is sent to the distant neighboring vehicle at a high-power low-speed rate.
The embodiment of the invention also discloses a safe driving prompting device, as shown in fig. 3, comprising:
the first acquisition module 21 is configured to acquire network message information of a vehicle and driving information of the vehicle in real time when the vehicle has a safe driving influence factor; the specific implementation manner is described in relation to step S101 in the above embodiment, and is not described herein again.
The first input module 22 is used for inputting the network message information and the driving information into a safety state judgment model trained in advance to obtain the network state of the vehicle; the specific implementation manner is described in relation to step S102 in the above embodiments, and is not described herein again.
And the sending module 23 is configured to send the safe driving prompt information through the network when the vehicle network is safe. The specific implementation manner is described in relation to step S103 in the above embodiments, and is not described herein again.
The safe driving prompting device provided by the invention comprises the steps of acquiring the network message information of the vehicle and the driving information of the vehicle in real time when the vehicle has the influence factors of safe driving, inputting the network message information and the driving information into a safety state judgment model trained in advance to obtain the network state of the vehicle, and sending the safe driving prompting information through the network when the vehicle network is safe. The network safety state of the vehicles is judged through the safety state judgment model, the network safety during the communication between the vehicles is ensured, the communication information between the vehicles is prevented from being falsified in the communication process, the communication safety between the vehicles is realized, the confidentiality, the integrity and the usability of information safety protection are achieved, and the driving early warning, the road danger early warning and the collision early warning are realized by sending prompt information to other vehicles, so that the safe driving is ensured.
As an optional embodiment of the present invention, the safe driving prompting device further includes:
and the second acquisition module is used for acquiring the running information and the environmental information of the vehicle in real time. The specific implementation manner is described in the relevant description of the corresponding steps in the above embodiments, and is not described herein again.
The determining module is used for determining whether safe driving influence factors exist in a preset area of the current position of the vehicle according to the driving information and the environment information of the vehicle. The specific implementation manner is described in the relevant description of the corresponding steps in the above embodiments, and is not described herein again.
As an optional embodiment of the present invention, the sending module 23 includes:
and the sending submodule is used for sending the safe driving prompt information to other vehicles in the target area through the self-organizing network, and the vehicles are in wireless communication connection with the other vehicles in the target area through the self-organizing network. The specific implementation manner is described in the relevant description of the corresponding steps in the above embodiments, and is not described herein again.
As an optional embodiment of the present invention, the safe driving prompting device further includes:
the third acquisition module is used for acquiring training data, wherein the training data comprises historical normal driving information of the vehicle and corresponding safe network message information; the specific implementation manner is described in the relevant description of the corresponding steps in the above embodiments, and is not described herein again.
And the training module is used for inputting the training data into the machine learning model for training to obtain a safety state judgment model. The specific implementation manner is described in the relevant description of the corresponding steps in the above embodiments, and is not described herein again.
As an optional implementation manner of the invention, the safe driving influencing factor is the vehicle to be passed at the intersection, and the prompt information comprises a prompt for controlling the acceleration of the vehicle to be passed at the intersection. The specific implementation manner is described in the relevant description of the corresponding steps in the above embodiments, and is not described herein again.
As an optional embodiment of the present invention, the safety driving influencing factor is a blind spot region, and the prompt information includes an image of the blind spot region. The specific implementation manner is described in the relevant description of the corresponding steps in the above embodiments, and is not described herein again.
As an optional embodiment of the present invention, the safe driving prompting device further includes:
and the first sending unit is used for sending the safe driving prompt information at a first power and a first speed through the self-organizing network when the position of the other vehicle is in the preset area. The specific implementation manner is described in the relevant description of the corresponding steps in the above embodiments, and is not described herein again.
And the second sending unit is used for sending the safe driving prompt information at a second power and a second speed through the self-organizing network when the positions of other vehicles exceed the preset area, wherein the first power is less than the second power, and the first speed is greater than the second speed. The specific implementation manner is described in the relevant description of the corresponding steps in the above embodiments, and is not described herein again.
An embodiment of the present invention further provides a computer device, as shown in fig. 4, the computer device may include a processor 31 and a memory 32, where the processor 31 and the memory 32 may be connected by a bus or in another manner, and fig. 4 takes the example of connection by a bus as an example.
The processor 31 may be a Central Processing Unit (CPU). The Processor 31 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.
The memory 32 is a non-transitory computer readable storage medium, and can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules (for example, the first obtaining module 21, the first input module 22, and the sending module 23 shown in fig. 3) corresponding to the safe driving prompting method in the embodiment of the present invention. The processor 31 executes various functional applications and data processing of the processor by running the non-transitory software program, instructions and modules stored in the memory 32, that is, implements the safe driving prompting method in the above method embodiment.
The memory 32 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 31, and the like. Further, the memory 32 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 32 may optionally include memory located remotely from the processor 31, and these remote memories may be connected to the processor 31 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 32 and when executed by the processor 31, perform the safe driving notification method in the embodiment shown in fig. 1.
The details of the computer device can be understood with reference to the corresponding related descriptions and effects in the embodiment shown in fig. 1, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A safe driving prompting method is characterized by comprising the following steps:
when the vehicle has a safe driving influence factor, acquiring the network message information of the vehicle and the driving information of the vehicle in real time;
inputting the network message information and the driving information into a safety state judgment model trained in advance to obtain the network state of the vehicle;
and when the vehicle network is safe, sending safe driving prompt information through the network.
2. The method according to claim 1, wherein before the obtaining of the network message information of the vehicle and the driving information of the vehicle in real time when the vehicle has the safe driving influence factor, the method further comprises:
acquiring the running information and the environmental information of the vehicle in real time;
and determining whether a safe driving influence factor exists in a preset area of the current position of the vehicle according to the driving information and the environmental information of the vehicle.
3. The method of claim 2, wherein sending the safe driving prompt message over the network when the vehicle network is safe comprises:
and sending safe driving prompt information to other vehicles in the target area through the self-organizing network, wherein the vehicles are in wireless communication connection with the other vehicles in the target area through the self-organizing network.
4. The method of claim 1, further comprising:
acquiring training data, wherein the training data comprises driving information of historical normal driving of a vehicle and corresponding safe network message information;
and inputting the training data into a machine learning model for training to obtain a safety state judgment model.
5. The method of claim 1, wherein the safe driving influencing factor is a vehicle waiting to pass through an intersection, and the prompting message comprises prompting the vehicle waiting to pass through the intersection to control acceleration.
6. The method according to claim 1, wherein the safe driving influencing factor is a blind spot region, and the prompt message includes an image of the blind spot region.
7. The method of claim 3, wherein sending safety driving prompt messages to other vehicles in a target area through the ad hoc network comprises:
when the position of the other vehicle is in the preset area, the safe driving prompt message is sent through the self-organizing network at a first power and a first speed;
and when the positions of the other vehicles exceed the preset area, sending the safe driving prompt information at a second power and a second speed through the self-organizing network, wherein the first power is smaller than the second power, and the first speed is larger than the second speed.
8. The utility model provides a safe driving suggestion device which characterized in that includes:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring network message information of a vehicle and driving information of the vehicle in real time when the vehicle has a safe driving influence factor;
the first input module is used for inputting the network message information and the driving information into a safety state judgment model trained in advance to obtain the network state of the vehicle;
and the sending module is used for sending the safe driving prompt information through the network when the vehicle network is safe.
9. A computer device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the method of providing driving safety information according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of providing driving safety as claimed in any one of claims 1 to 7.
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