CN110682915A - Vehicle machine, vehicle, storage medium, and driving behavior-based reminding method and system - Google Patents
Vehicle machine, vehicle, storage medium, and driving behavior-based reminding method and system Download PDFInfo
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- CN110682915A CN110682915A CN201810725310.8A CN201810725310A CN110682915A CN 110682915 A CN110682915 A CN 110682915A CN 201810725310 A CN201810725310 A CN 201810725310A CN 110682915 A CN110682915 A CN 110682915A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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Abstract
The invention provides a vehicle machine, a vehicle, a storage medium, a reminding method and a system based on driving behaviors, wherein the reminding method based on the driving behaviors is applied to the vehicle, and comprises the following steps: collecting driving information of a driver in real time; judging whether the driving behavior in the driving information can be identified or not; when the driving behavior in the driving information is identified, judging whether the driving behavior is bad driving behavior according to a driving behavior model; and when the driving behavior is the bad driving behavior, generating reminding information. The vehicle-mounted device, the vehicle, the storage medium, the driving behavior-based reminding method and the driving behavior-based reminding system can effectively remind a user of bad driving behaviors so as to guide the user to correct bad behavior habits and improve the safety of driving the vehicle by the driver.
Description
Technical Field
The invention relates to the technical field of safe driving of vehicles, in particular to a vehicle machine, a vehicle, a storage medium, a driving behavior-based reminding method and a driving behavior-based reminding system.
Background
With the rapid development of economy, the quantity of automobiles kept is also continuously rising, so that the probability that people encounter safety problems in the process of driving the automobile is higher and higher, or the safety of the driver and related personnel is seriously threatened due to emergencies or negligence of the driver.
There is not fine monitored control system to driver's bad driving action among the prior art, only obtains through the collection of roadside camera to can not carry out fine standard to driver's bad driving action custom, bad driving action not only has very big potential safety hazard to the vehicle of driving, can increase the energy consumption of vehicle simultaneously, for example the driver drives vehicle and accelerates suddenly, the rapid deceleration, leads to the energy waste.
In response to the above problems, those skilled in the art have sought solutions.
Disclosure of Invention
In view of the above, the invention provides a vehicle machine, a vehicle, a storage medium, and a driving behavior-based reminding method and system, which can effectively remind a user of an undesirable driving behavior, so as to guide the user to correct the habit of the undesirable behavior and improve the safety of the driver in driving the vehicle.
The invention provides a driving behavior-based reminding method, which is applied to a vehicle and comprises the following steps: collecting driving information of a driver in real time; judging whether the driving behavior in the driving information can be identified or not; when the driving behavior in the driving information is identified, judging whether the driving behavior is bad driving behavior according to a driving behavior model; and when the driving behavior is the bad driving behavior, generating reminding information.
Specifically, the step of determining whether the driving behavior in the driving information can be identified further includes: when the driving behavior in the driving information is not recognized, the driving information is sent to a server so that the server responds to the driving information and returns feedback information; and executing corresponding feedback action according to the received feedback information.
Specifically, the step of executing the corresponding feedback action according to the received feedback information includes: when the feedback information contains reminding information, controlling the vehicle to display the reminding information in a voice broadcasting mode; when the feedback information contains driving behavior model updating information, updating and storing the driving behavior model updating information into a driving behavior model stored in advance; and returning to the step of collecting the driving information of the driver in real time when the feedback information contains that the driving behavior in the driving information is not bad driving behavior.
Specifically, when the driving behavior in the driving information is identified, before the step of determining whether the driving behavior is an undesirable driving behavior according to a driving behavior model, the method further includes: and receiving the driving behavior model sent by the server, and updating and storing the driving behavior model.
Specifically, when the driving behavior is the undesirable driving behavior, the step of generating the reminding information further includes: collecting environmental information around the vehicle in real time; processing according to the environmental information, the driving behaviors and the vehicle condition information in the driving information to obtain a danger level corresponding to the vehicle; when the danger level is higher than a preset danger level, generating an auxiliary driving signal; and controlling the driving mode of the vehicle to be switched to an automatic driving mode according to the auxiliary driving signal.
The present invention also provides a vehicle machine, comprising: a memory for storing a computer program; and the processor is used for executing the computer program stored in the memory so as to enable the vehicle-mounted machine to execute the reminding method based on the driving behaviors.
The invention further provides a vehicle which comprises the vehicle machine.
The invention also provides a reminding system based on the driving behavior, which comprises the vehicle machine and the server; the vehicle machine is used for realizing the reminding method based on the driving behaviors; and the server is used for receiving the driving information sent by the vehicle machine so as to respond to the driving information and send feedback information to the vehicle machine.
The invention also provides a storage medium, which stores computer program instructions, and is characterized in that the computer program instructions are executed by a processor to realize the driving behavior-based reminding method.
Specifically, the vehicle-mounted device, the vehicle, the storage medium, and the reminding method and system based on the driving behavior provided by the embodiment collect the driving information of the driver in real time, and generate the reminding information when the driving behavior in the driving information is identified as the bad driving behavior, so that the bad driving behavior of the user can be effectively reminded, the user is guided to correct the bad behavior habit, and the safety of the driver in driving the vehicle is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
FIG. 1 is a schematic flow chart illustrating a driving behavior-based reminding method according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a driving behavior-based reminding method according to a second embodiment of the present invention;
FIG. 3 is a flowchart illustrating a driving behavior-based reminding method according to a third embodiment of the present invention;
FIG. 4 is a flowchart illustrating a driving behavior-based reminding method according to a fourth embodiment of the present invention;
FIG. 5 is a flowchart illustrating a driving behavior-based reminding method according to a fifth embodiment of the present invention;
fig. 6 is a block diagram of a vehicle machine according to a sixth embodiment of the present invention;
fig. 7 is a block diagram of a vehicle according to a seventh embodiment of the invention;
fig. 8 is a block diagram of a driving behavior-based reminder system according to an eighth embodiment of the present invention.
Detailed Description
To further explain the technical means and effects of the present invention adopted to achieve the predetermined objects, the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments.
Fig. 1 is a schematic flow chart of a driving behavior-based reminding method according to a first embodiment of the present invention. The embodiment is a reminding method based on driving behaviors executed by a vehicle. As shown in fig. 1, the driving behavior-based reminding method of the present embodiment may include the following steps:
step S11: the driving information of a driver is collected in real time.
Specifically, in an embodiment, the driving information may include, but is not limited to, image information and vehicle condition information. Specifically, a camera is arranged in front of a driver seat of the vehicle to acquire image information containing driving behaviors of a driver in real time and send the image information to the vehicle machine. The vehicle can also acquire the vehicle condition information of the engine through the electronic control unit so as to judge the current running state of the vehicle and send the vehicle condition information to the vehicle machine.
Step S12: it is determined whether the driving behavior in the driving information can be recognized.
Specifically, in an embodiment, the vehicle machine of the vehicle determines whether the driving behavior in the driving information can be recognized, and specifically, the vehicle machine may, but is not limited to, recognize the image information in the driving information by using an image recognition technology to determine whether the driving behavior of the driver's hands and head is recognized, and simultaneously, the vehicle machine further analyzes the vehicle condition information to recognize whether the driver performs rapid acceleration, rapid deceleration, rapid turning, whether a turn signal is activated when the vehicle changes lanes or turns, and the like, and obtains the driving behavior of the driver by performing comprehensive analysis with the driving behavior of the driver's hands and head recognized from the image information.
Step S13: and when the driving behavior in the driving information is identified, judging whether the driving behavior is bad driving behavior according to the driving behavior model.
Specifically, in an embodiment, when the vehicle machine of the vehicle recognizes the driving behavior in the driving information, the vehicle machine determines whether the driving behavior is a bad driving behavior according to the driving behavior model. The vehicle machine receives the driving behavior model sent by the server in advance and stores the driving behavior model into the memory. Specifically, the driving behavior model may be, but not limited to, obtained by calibrating data of bad driving behavior habits of the driver, so as to compare the driving behavior in the driving information with the bad driving behavior in the driving behavior model one by one, thereby determining whether the driving behavior is the bad driving behavior. The bad driving behavior may include, but is not limited to, driving behaviors including a driver making a call while driving the vehicle, smoking a smoke, placing a left arm on a vehicle door, fatigue driving, drunk driving, hard acceleration, hard deceleration, sharp turn, whether a turn signal is activated when the vehicle changes lane or turns, and the like.
Step S14: and when the driving behavior is bad driving behavior, generating reminding information.
Specifically, in an embodiment, when the vehicle-mounted device in the vehicle recognizes that the driving behavior is not the bad driving behavior, the vehicle-mounted device generates the reminding information. Specifically, the car machine sends the generated reminding information to the car body controller to control the car to display the reminding information in a voice playing mode, but the car is not limited to the above, for example, the car can also display the reminding information through a display screen, so that the car can effectively remind a user of bad driving behaviors, so as to guide the user to correct the bad behavior habits, and improve the safety of the driver in driving the car.
Fig. 2 is a flowchart illustrating a driving behavior-based reminding method according to a second embodiment of the present invention. The embodiment is a reminding method based on driving behaviors executed by a vehicle. As shown in fig. 2, the driving behavior-based reminding method of the present embodiment may include the following steps:
step S21: the driving information of a driver is collected in real time.
Specifically, in an embodiment, the driving information may include, but is not limited to, image information and vehicle condition information. Specifically, a camera is arranged in front of a driver seat of the vehicle to acquire image information containing driving behaviors of a driver in real time and send the image information to the vehicle machine. The vehicle can also acquire the vehicle condition information of the engine through the electronic control unit so as to judge the current running state of the vehicle and send the vehicle condition information to the vehicle machine.
Step S22: it is determined whether the driving behavior in the driving information can be recognized.
Specifically, in an embodiment, the vehicle machine of the vehicle determines whether the driving behavior in the driving information can be recognized, and specifically, the vehicle machine may, but is not limited to, recognize the image information in the driving information by using an image recognition technology to determine whether the driving behavior of the driver's hands and head is recognized, and simultaneously, the vehicle machine further analyzes the vehicle condition information to recognize whether the driver performs rapid acceleration, rapid deceleration, rapid turning, whether a turn signal is activated when the vehicle changes lanes or turns, and the like, and obtains the driving behavior of the driver by performing comprehensive analysis with the driving behavior of the driver's hands and head recognized from the image information.
Specifically, when the driving behavior in the driving information is recognized, steps S23 to S24 are performed. When the driving behavior in the driving information is not recognized, steps S25 to S26 are performed.
Step S23: and judging whether the driving behavior is bad driving behavior according to the driving behavior model.
Specifically, in an embodiment, when the vehicle machine of the vehicle recognizes the driving behavior in the driving information, the vehicle machine determines whether the driving behavior is a bad driving behavior according to the driving behavior model. The vehicle machine receives the driving behavior model sent by the server in advance and stores the driving behavior model into the memory. Specifically, the driving behavior model may be, but not limited to, obtained by calibrating data of bad driving behavior habits of the driver, so as to compare the driving behavior in the driving information with the bad driving behavior in the driving behavior model one by one, thereby determining whether the driving behavior is the bad driving behavior. The bad driving behavior may include, but is not limited to, driving behaviors including a driver making a call while driving the vehicle, smoking a smoke, placing a left arm on a vehicle door, fatigue driving, drunk driving, hard acceleration, hard deceleration, sharp turn, whether a turn signal is activated when the vehicle changes lane or turns, and the like.
Specifically, when the driving behavior is the bad driving behavior, step S24 is executed: and generating reminding information. If the driving behavior is not the bad driving behavior, the process returns to step S21.
Specifically, in an embodiment, when the vehicle-mounted device in the vehicle recognizes that the driving behavior is not the bad driving behavior, the vehicle-mounted device generates the reminding information. Specifically, the car machine sends the generated reminding information to the car body controller to control the car to display the reminding information in a voice playing mode, but the car is not limited to the above, for example, the car can also display the reminding information through a display screen, so that the car can effectively remind a user of bad driving behaviors, so as to guide the user to correct the bad behavior habits, and improve the safety of the driver in driving the car.
Step S25: and sending the driving information to the server so that the server responds to the driving information and returns feedback information.
Specifically, in one embodiment, the vehicle machine of the vehicle sends the driving information to the server. And after receiving the driving information, the server identifies the driving behavior of the driving information and processes the driving behavior according to the identified driving behavior to obtain feedback information. The server may, but is not limited to, perform big data analysis on driving behaviors of all drivers to perform data calibration on bad driving behaviors, thereby obtaining a driving behavior model, perform analysis processing on driving behaviors in driving information according to the driving behavior model, further obtain corresponding feedback information, and send the feedback information to a vehicle machine of a corresponding vehicle.
Step S26: and executing corresponding feedback action according to the received feedback information.
Specifically, in an embodiment, after receiving the feedback information, the vehicle-mounted device controls corresponding feedback actions through the vehicle body, so that the adverse driving behaviors of the user can be effectively reminded, the user is guided to correct the habit of the adverse behavior, and the safety of the driver in driving the vehicle is improved.
Referring to fig. 3, fig. 3 is a flowchart illustrating a driving behavior-based reminding method according to a third embodiment of the present invention. As shown in fig. 2 and fig. 3, in the driving behavior-based reminding method provided in this embodiment, the step of executing the corresponding feedback action according to the received feedback information includes the following steps:
step S31: and when the feedback information contains the reminding information, controlling the vehicle to display the reminding information in a voice broadcasting mode.
Step S32: and when the feedback information contains driving behavior model updating information, updating and storing the driving behavior model updating information into a driving behavior model stored in advance.
Step S33: and returning to the step of collecting the driving information of the driver in real time when the driving behavior in the feedback information containing the driving information is not bad driving behavior.
Specifically, in an embodiment, the vehicle-mounted device analyzes the received feedback information to determine whether the feedback information includes a warning message, a driving model update message, or a driving behavior not being an undesirable driving behavior message, and then sends the warning message, the driving model update message, or the driving behavior not being an undesirable driving behavior message to a vehicle body controller of the vehicle to control the vehicle to execute a corresponding feedback action.
Referring to fig. 4, fig. 4 is a flowchart illustrating a driving behavior-based reminding method according to a fourth embodiment of the present invention. As shown in fig. 1 and fig. 4, the driving behavior-based reminding method provided in this embodiment further includes, when the driving behavior in the driving information is identified, the following steps before the step of determining whether the driving behavior is the undesirable driving behavior according to the driving behavior model:
step S41: and receiving the driving behavior model sent by the server, and updating and storing the driving behavior model.
Specifically, in an embodiment, after the in-vehicle machine in the vehicle receives the driving behavior model sent by the server, it is determined whether the driving behavior model is stored in the memory of the in-vehicle machine. Specifically, when the driving behavior model is stored in the memory of the in-vehicle machine in advance, the database in which the driving behavior model is stored in advance is updated, so that the driving behavior model in the in-vehicle machine can accurately identify the bad driving behavior. And when the memory in the vehicle machine does not have the driving behavior model, directly storing the received driving behavior model into the memory.
Referring to fig. 5, fig. 5 is a flowchart illustrating a driving behavior-based reminding method according to a fifth embodiment of the present invention. As shown in fig. 1 and fig. 5, the method for reminding based on driving behavior according to this embodiment, when the driving behavior is bad driving behavior, further includes the following steps after the step of generating the reminding information:
step S51: environmental information of the surroundings of the vehicle is collected in real time.
Specifically, in an embodiment, the vehicle may further acquire environment image information around the vehicle through cameras disposed around the vehicle, and transmit the environment image information to the vehicle machine, and the vehicle machine may identify the environment image information through an image identification technology, but is not limited to, to obtain corresponding environment information.
Step S52: and processing according to the environmental information, the driving behavior and the vehicle condition information in the driving information to obtain the danger level corresponding to the vehicle.
Specifically, in one embodiment, the vehicle condition information may be, but is not limited to, rapid acceleration information, rapid deceleration information, turning information, vehicle speed information, and vehicle signal light information of the vehicle. And the vehicle machine processes the vehicle condition information according to the environmental information, the driving behavior and the driving information to obtain the danger level corresponding to the vehicle.
Step S53: and when the danger level is higher than the preset danger level, generating an auxiliary driving signal.
Specifically, in one embodiment, the preset danger level may be, but is not limited to, a corresponding danger level for a vehicle collision or the like. Specifically, the vehicle machine generates an auxiliary driving signal when the obtained danger level is higher than a preset danger level.
Step S54: and controlling the driving mode of the vehicle to be switched to the automatic driving mode according to the auxiliary driving signal.
Specifically, in one embodiment, the vehicle-mounted device sends the generated auxiliary driving signal to the vehicle-body controller to control the driving mode of the vehicle to be automatically switched to the automatic driving mode, for example, to control the driving mode of the vehicle to be switched from the manual driving mode to the automatic driving mode, so that the vehicle is prevented from being in danger by automatic driving, and meanwhile, the vehicle is prevented from being in a collision accident due to poor driving behaviors of the driver, thereby improving the driving safety of the vehicle, and meanwhile, the vehicle is prevented from suddenly accelerating or suddenly decelerating, so as to save the energy consumption of the vehicle.
Referring to fig. 6, fig. 6 is a block diagram of a vehicle machine 110 according to a sixth embodiment of the present invention. As shown in fig. 6, in the car machine 110 provided in this embodiment, specifically, the car machine 110 may be, but is not limited to, connected to a server through a network, the car machine 110 is further connected to a body controller in a vehicle, and the car machine 110 is further connected to a camera for setting the vehicle.
Specifically, in one embodiment, the vehicle machine 110 includes: the memory 111 is used to store executable program code. The processor 112 is configured to call executable program code in the memory to implement the steps of: collecting driving information of a driver in real time; judging whether the driving behavior in the driving information can be identified or not; when the driving behavior in the driving information is identified, judging whether the driving behavior is bad driving behavior according to the driving behavior model; and when the driving behavior is bad driving behavior, generating reminding information.
Specifically, in one embodiment, the processor 112, after performing the step of determining whether the driving behavior in the driving information can be identified, further performs the steps of: when the driving behavior in the driving information is not recognized, the driving information is sent to the server, so that the server returns feedback information after responding to the driving information; and executing corresponding feedback action according to the received feedback information.
Specifically, in an embodiment, the step of executing, by the processor 112, the corresponding feedback action according to the received feedback information includes: when the feedback information contains the reminding information, controlling a voice broadcasting mode of the vehicle to display the reminding information; when the feedback information contains driving behavior model updating information, updating and storing the driving behavior model updating information into a driving behavior model stored in advance; and returning to the step of collecting the driving information of the driver in real time when the driving behavior in the feedback information containing the driving information is not bad driving behavior.
Specifically, in one embodiment, when the processor 112 executes the step of determining whether the driving behavior is the bad driving behavior according to the driving behavior model when the driving behavior in the driving information is recognized, the step further executed before the step of executing the step of determining whether the driving behavior is the bad driving behavior according to the driving behavior model includes: and receiving the driving behavior model sent by the server, and updating and storing the driving behavior model.
Specifically, in an embodiment, the step executed by the processor 112 after the step of generating the reminding information when the driving behavior is the bad driving behavior includes: collecting environmental information around a vehicle in real time; processing according to the environmental information, the driving behavior and the vehicle condition information in the driving information to obtain a danger level corresponding to the vehicle; when the danger level is higher than a preset danger level, generating an auxiliary driving signal; and controlling the vehicle to switch to the automatic driving mode according to the auxiliary driving signal.
For the specific process of implementing each function of each functional unit of the vehicle 100, please refer to the specific contents described in the embodiments shown in fig. 1 to fig. 5, which is not described herein again.
Referring to fig. 7, fig. 7 is a block diagram of a vehicle 100 according to a seventh embodiment of the invention. As shown in fig. 7, in the vehicle 100 provided in the present embodiment, the vehicle 100 includes a vehicle machine 120. Specifically, please refer to the specific contents described in the embodiments shown in fig. 1 to fig. 6 for the specific process of each function unit of the car machine 120 to implement each function, which is not described herein again.
Referring to fig. 8, fig. 8 is a block diagram illustrating a driving behavior-based reminder system 200 according to an eighth embodiment of the present invention. As shown in fig. 8, in the driving behavior based reminder system 200 provided in this embodiment, the driving behavior based reminder system 200 includes a vehicle 210 and a server 220. Specifically, in this embodiment, the vehicle 200 at least includes the vehicle 211, and the vehicle 211 and the server 220 are in communication connection through a network.
Specifically, in this embodiment, the in-vehicle device 211 is configured to implement the driving behavior-based reminding method as described above. The server 220 is configured to receive driving information sent by the car 211, to respond to the driving information, and to send feedback information to the car 211.
For the specific process of implementing each function of each functional unit of the car machine 211, please refer to the specific contents described in the embodiments shown in fig. 1 to fig. 7, which is not described herein again.
For the specific process of implementing each function of each functional unit of the server 220 in this embodiment, please refer to the specific contents described in the embodiments shown in fig. 1 to fig. 5, which is not described herein again.
In addition, an embodiment of the present invention further provides a storage medium, in which computer program instructions are stored, and the computer program instructions are used to enable a computer or a similar computing device to complete various operations in the driving behavior-based reminding method.
The foregoing storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a cloud, a magnetic disk, a flash Memory, or an optical disk.
Please refer to the description of the embodiments shown in fig. 1 to 5 for further steps implemented when the computer program instructions stored in the computer storage medium of the present embodiment are executed by the processor, which is not described herein again.
Specifically, the vehicle-mounted device, the vehicle, the storage medium, and the reminding method and system based on the driving behavior provided by the embodiment collect the driving information of the driver in real time, and generate the reminding information when the driving behavior in the driving information is identified as the bad driving behavior, so that the bad driving behavior of the user can be effectively reminded, the user is guided to correct the bad behavior habit, and the safety of the driver in driving the vehicle is improved.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the terminal class embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for relevant points, reference may be made to part of the description of the method embodiment.
Claims (9)
1. A driving behavior based reminding method is applied to a vehicle, and comprises the following steps:
collecting driving information of a driver in real time;
judging whether the driving behavior in the driving information can be identified or not;
when the driving behavior in the driving information is identified, judging whether the driving behavior is bad driving behavior according to a driving behavior model;
and when the driving behavior is the bad driving behavior, generating reminding information.
2. The driving behavior-based reminder method of claim 1, wherein the step of determining whether the driving behavior in the driving information can be recognized further comprises:
when the driving behavior in the driving information is not recognized, the driving information is sent to a server so that the server responds to the driving information and returns feedback information;
and executing corresponding feedback action according to the received feedback information.
3. The driving behavior-based reminder method of claim 2, wherein the step of performing the corresponding feedback action according to the received feedback information comprises:
when the feedback information contains reminding information, controlling the vehicle to display the reminding information in a voice broadcasting mode;
when the feedback information contains driving behavior model updating information, updating and storing the driving behavior model updating information into a driving behavior model stored in advance;
and returning to the step of collecting the driving information of the driver in real time when the feedback information contains that the driving behavior in the driving information is not bad driving behavior.
4. The driving behavior-based reminding method according to claim 1, wherein the step of determining whether the driving behavior is an undesirable driving behavior according to a driving behavior model when the driving behavior in the driving information is recognized further comprises:
and receiving the driving behavior model sent by the server, and updating and storing the driving behavior model.
5. The driving behavior-based reminder method according to claim 1, wherein the step of generating a reminder message when the driving behavior is the undesirable driving behavior further comprises:
collecting environmental information around the vehicle in real time;
processing according to the environmental information, the driving behaviors and the vehicle condition information in the driving information to obtain a danger level corresponding to the vehicle;
when the danger level is higher than a preset danger level, generating an auxiliary driving signal;
and controlling the driving mode of the vehicle to be switched to an automatic driving mode according to the auxiliary driving signal.
6. The utility model provides a car machine, its characterized in that includes:
a memory for storing a computer program;
a processor configured to execute the computer program stored in the memory, so as to enable the car machine to execute the driving behavior-based reminding method according to any one of claims 1 to 5.
7. A vehicle characterized by comprising the vehicle machine of claim 6.
8. A reminding system based on driving behaviors is characterized by comprising a vehicle machine and a server;
the vehicle machine is used for realizing the reminding method based on the driving behavior according to any one of claims 1 to 5;
and the server is used for receiving the driving information sent by the vehicle machine so as to respond to the driving information and send feedback information to the vehicle machine.
9. A storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement a driving behavior based reminder method according to any one of claims 1 to 5.
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| CN112319489A (en) * | 2020-11-18 | 2021-02-05 | 三一重型装备有限公司 | Driving behavior monitoring method, driving behavior monitoring system, server and storage medium |
| CN112406871A (en) * | 2020-11-30 | 2021-02-26 | 广西玉柴机器股份有限公司 | Intelligent driving system and method |
| CN112810617A (en) * | 2021-01-04 | 2021-05-18 | 宝能(西安)汽车研究院有限公司 | Control method, control device and system of driving behavior analysis system |
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