CN114043992A - Vehicle control method, device, equipment and storage medium - Google Patents
Vehicle control method, device, equipment and storage medium Download PDFInfo
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- CN114043992A CN114043992A CN202111344351.0A CN202111344351A CN114043992A CN 114043992 A CN114043992 A CN 114043992A CN 202111344351 A CN202111344351 A CN 202111344351A CN 114043992 A CN114043992 A CN 114043992A
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- 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
- B60W40/10—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 vehicle motion
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- 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
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Abstract
The invention belongs to the technical field of vehicle control, and discloses a vehicle control method, a vehicle control device, vehicle control equipment and a storage medium. The method comprises the following steps: acquiring vehicle running information when a target vehicle runs; acquiring an electroencephalogram signal of a driver through single-channel electroencephalogram acquisition equipment; acquiring concentration information of the driver according to the electroencephalogram signals; and determining a target vehicle speed according to the concentration degree information and the vehicle running information, and adjusting the current vehicle speed of the target vehicle to the target vehicle speed. In this way, realized gathering driver's EEG signal through single channel brain wave collection equipment, then obtain driver's the degree of concentration information according to EEG signal, the speed of a motor vehicle of real-time adjustment target vehicle according to the vehicle information of going of degree of concentration information and vehicle at last, realized can real-time automatic adjustment speed of a motor vehicle when driver's attention is not concentrated to the probability that takes place the incident when reducing driver's attention is distracted, make and drive safelyr.
Description
Technical Field
The present invention relates to the field of vehicle control technologies, and in particular, to a vehicle control method, apparatus, device, and storage medium.
Background
When a driver drives a vehicle to drive, a lot of emergency situations are often encountered, and the driver needs to deal with the constantly changing vehicle conditions in time, but sometimes the driver is not concentrated and still drives the vehicle at a high speed, and if the driver is in the emergency situations or the extreme road conditions, the reaction time is long due to the concentrated attention of the driver, so that the braking distance is long, and a great safety problem exists.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a vehicle control method, a vehicle control device, vehicle control equipment and a storage medium, and aims to solve the technical problem that the vehicle speed is difficult to control when a driver is not attentive in the prior art.
To achieve the above object, the present invention provides a vehicle control method including the steps of:
acquiring vehicle running information when a target vehicle runs;
acquiring an electroencephalogram signal of a driver through single-channel electroencephalogram acquisition equipment;
acquiring concentration information of the driver according to the electroencephalogram signals;
and determining a target vehicle speed according to the concentration degree information and the vehicle running information, and adjusting the current vehicle speed of the target vehicle to the target vehicle speed.
Optionally, the obtaining concentration information of the driver according to the electroencephalogram signal includes:
obtaining an electroencephalogram data packet according to the electroencephalogram signals;
determining an effective electroencephalogram data packet according to the electroencephalogram data packet;
and obtaining the concentration information of the driver according to the effective electroencephalogram data packet.
Optionally, the determining an effective electroencephalogram data packet according to the electroencephalogram data packet includes:
acquiring effective load data and effective check data of the electroencephalogram data packet;
obtaining a data check byte according to the effective load data;
comparing the data check byte with the effective check data to obtain a comparison result;
and determining an effective electroencephalogram data packet according to the comparison result.
Optionally, the obtaining concentration information of the driver according to the effective electroencephalogram data packet includes:
obtaining data group information according to the effective electroencephalogram data packet;
obtaining spreading code information and data value information according to the data group information;
determining the level of the spreading code of the effective electroencephalogram data packet according to the spreading code information;
concentration information is obtained from the data value information and the spreading code rank.
Optionally, after obtaining the attentiveness information of the driver according to the electroencephalogram signal, the method further includes:
determining a concentration level of the driver according to the concentration information;
determining an early warning mode according to the concentration degree grade;
and determining a preset early warning measure corresponding to the early warning mode according to the early warning mode, and executing the preset early warning measure.
Optionally, the determining the attentiveness level of the driver from the attentiveness information includes:
determining the concentration degree of the driver according to the concentration degree information;
acquiring the reference concentration degree of the driver;
constructing a concentration level mapping table of the driver according to the reference concentration;
and inquiring the concentration degree grade mapping table according to the concentration degree, and determining the concentration degree grade of the driver.
Optionally, after determining a preset early warning measure corresponding to the early warning mode according to the early warning mode and executing the preset early warning measure, the method further includes:
after the preset early warning measure is executed, acquiring the current concentration degree of the driver, and recording the execution duration of the preset early warning measure;
recording the reference concentration degree of the driver after the preset early warning measure is executed for a preset time interval;
and if the reference concentration does not exceed the current concentration, controlling the vehicle to park to the road edge according to the vehicle running information.
Further, to achieve the above object, the present invention also proposes a vehicle control device including:
the acquisition module is used for acquiring vehicle running information when a target vehicle runs;
the acquisition module is used for acquiring the electroencephalogram signals of the driver through single-channel electroencephalogram acquisition equipment;
the calculation module is used for obtaining concentration information of the driver according to the electroencephalogram signals;
and the control module is used for determining a target vehicle speed according to the concentration degree information and the vehicle running information and adjusting the current vehicle speed of the target vehicle to the target vehicle speed.
Further, to achieve the above object, the present invention also proposes a vehicle control apparatus including: a memory, a processor and a vehicle control program stored on the memory and executable on the processor, the vehicle control program being configured to implement the steps of the vehicle control method as described above.
Furthermore, to achieve the above object, the present invention also proposes a storage medium having stored thereon a vehicle control program that, when executed by a processor, implements the steps of the vehicle control method as described above.
The method comprises the steps of obtaining vehicle running information when a target vehicle runs; acquiring an electroencephalogram signal of a driver through single-channel electroencephalogram acquisition equipment; acquiring concentration information of the driver according to the electroencephalogram signals; and determining a target vehicle speed according to the concentration degree information and the vehicle running information, and adjusting the current vehicle speed of the target vehicle to the target vehicle speed. Through this kind of mode, realized gathering driver's EEG signal through single channel brain wave collection equipment, then obtain driver's concentration degree information according to EEG signal, the speed of a motor vehicle of real-time adjustment target vehicle according to the vehicle information of traveling of concentration degree information and vehicle at last, realized can real-time automatic adjustment speed of a motor vehicle when driver's attention is not concentrated to the probability that takes place the incident when reducing driver's attention is distracted makes driving safer.
Drawings
FIG. 1 is a schematic diagram of a vehicle control apparatus in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flowchart of a first embodiment of a vehicle control method of the invention;
FIG. 3 is a schematic wearing diagram of a single-channel brain wave acquisition device according to an embodiment of the vehicle control method of the present invention;
FIG. 4 is a flowchart illustrating a second embodiment of a vehicle control method according to the present invention;
fig. 5 is a block diagram showing the configuration of the first embodiment of the vehicle control apparatus of the invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a vehicle control device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the vehicle control apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the vehicle control apparatus, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is one type of storage medium, may include therein an operating system, a network communication module, a user interface module, and a vehicle control program.
In the vehicle control apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the vehicle control apparatus of the invention may be provided in the vehicle control apparatus that calls the vehicle control program stored in the memory 1005 through the processor 1001 and executes the vehicle control method provided by the embodiment of the invention.
An embodiment of the present invention provides a vehicle control method, and referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of the vehicle control method according to the present invention.
In this embodiment, the vehicle control method includes the steps of:
step S10: vehicle travel information is acquired while a target vehicle is traveling.
It should be noted that the execution subject of the present embodiment is a controller installed on a vehicle, and is mainly used for controlling a vehicle control method, and may be another device capable of implementing this function, which is not limited in this embodiment. The present embodiment will be described taking a controller for controlling a vehicle control method as an example.
It should be understood that the social rhythm is fast now, and the vehicle survival rate is higher and higher, and the vehicle is also more and more on the road, and the traffic situation is very complicated, makes the commuting time of resident's trip lengthened, and this also leads to the condition that the driver easily appears distraction in the driving process, and this also can lead to the driver reaction time extension and the wrong operation, has greatly improved the probability that vehicle incident takes place. The embodiment provides the electroencephalogram signal of the driver collected by the single-channel electroencephalogram collecting equipment, the concentration degree information of the driver is obtained through analysis and calculation of the electroencephalogram signal, and the vehicle speed of the vehicle is adjusted in real time according to the concentration degree information of the driver and the vehicle driving information in the vehicle driving process, so that the probability of safety accidents occurring when the driver is distracted is reduced.
In a specific implementation, the target vehicle may be a new energy vehicle, and may also be an automobile, which is not limited in this embodiment.
It should be noted that the vehicle driving information may include related information such as a current vehicle speed of the vehicle, a current road condition, a surrounding vehicle behavior, and a distance to other objects on the road, which is not limited in this embodiment.
It should be understood that the vehicle driving information may be collected by monitoring the road conditions around the vehicle through a camera, a laser radar and a millimeter wave radar included in the vehicle sensor module.
Step S20: the electroencephalogram signals of the driver are collected through the single-channel electroencephalogram collecting equipment.
In a specific implementation, as shown in fig. 3, the single-channel brain wave acquisition device is composed of three dry electrodes, namely an acquisition electrode, a reference electrode and a ground electrode, and when a driver wears the device, the sampling electrode is placed at the forehead and the reference electrode is placed at the earlobe position.
It should be noted that, after the electroencephalogram signal of the driver is collected by the single-channel electroencephalogram collecting equipment, the transmission of the electroencephalogram signal is realized by adopting the wireless bluetooth module and the corresponding serial port component through the transmission module. The electroencephalogram signals are transmitted to the controller in an asynchronous serial data stream mode.
It should be understood that the brain wave signal refers to a brain wave signal of a driver, and may be directly collected and transmitted through a single-channel brain wave collecting apparatus.
Step S30: and obtaining the concentration information of the driver according to the electroencephalogram signal.
In specific implementation, the step of obtaining the concentration information of the driver according to the electroencephalogram signals refers to the step of processing the received electroencephalogram signals to obtain a plurality of data packets, and then the step of mechanically obtaining the concentration information of the driver through the data packets.
The concentration degree information refers to a numerical value of the concentration degree of the driver obtained by the calculation and other information related to the concentration degree of the driver.
Further, in order to perform corresponding early warning and reminding strategies by combining the concentration degree information after obtaining the concentration degree information of the driver, the method further comprises the following steps of obtaining the concentration degree information of the driver according to the electroencephalogram signal: determining a concentration level of the driver according to the concentration information; determining an early warning mode according to the concentration degree grade; and determining a preset early warning measure corresponding to the early warning mode according to the early warning mode, and executing the preset early warning measure.
It should be understood that the concentration level refers to a rating obtained by comparing the concentration information of the driver with the current normal concentration of the driver to calibrate the concentration of the driver.
In specific implementation, the early warning mode is a preset and stored coping mode, and a unique early warning mode is corresponding to each concentration level of the driver.
It should be noted that the preset early warning measure refers to an operation and a measure that need to be executed corresponding to each early warning mode, and there is a corresponding preset early warning measure corresponding to each early warning mode.
It should be understood that concentration degree grade can be divided into one level, two levels and three levels, wherein three levels correspond three early warning modes respectively, be one-level early warning mode, second grade early warning mode and tertiary early warning mode respectively, and the one-level early warning measure that one-level early warning mode corresponds shows concentration degree value and twinkles for vehicle HMI and reminds the driver to improve attention, the second grade early warning measure that second grade early warning mode corresponds for automatically generating speech information suggestion driver improvement attention, and the tertiary early warning measure that tertiary early warning mode corresponds is for starting seat vibration to remind the driver to improve concentration degree.
Through this kind of mode, realized confirming the degree of concentration level of driver according to the degree of concentration information of driver, then according to degree of concentration level confirm corresponding early warning mode and the preset early warning measure that corresponds, realized can corresponding the warning strategy that uses of degree of concentration condition according to the driver for remind the driver to improve and concentrate on degree more nimble and intelligent.
Further, in order to accurately determine the concentration level of the driver, the step of determining the concentration level of the driver according to the concentration information includes: determining the concentration degree of the driver according to the concentration degree information; acquiring the reference concentration degree of the driver; constructing a concentration level mapping table of the driver according to the reference concentration; and inquiring the concentration degree grade mapping table according to the concentration degree, and determining the concentration degree grade of the driver.
In one embodiment, the driver's concentration is a specific value obtained from the concentration information.
It should be noted that the reference concentration degree of the driver is a concentration degree numerical value for identifying the normal driving condition of the driver, and because the individual drivers have differences, the concentration degree values corresponding to the concentration degrees of each person are different, and before the driver starts driving, an adaptive identification of the concentration degree is required to be performed to calibrate the reference concentration degree of the driver.
It should be understood that the concentration degree level mapping table refers to a mapping table of concentration degrees and concentration degree levels obtained by classifying and calibrating the reference concentration degrees of the driver, that is, concentration degree values corresponding to the first-level concentration degree, the second-level concentration degree and the third-level concentration degree respectively. For example: the reference concentration degree is 50, the value range of the first-level concentration degree can be set to be [40,50], the value range of the second-level concentration degree is [25,40 ], the value range of the third-level concentration degree is [0,25), so that a concentration degree grade mapping table is established, and the concentration degree grade of the driver can be inquired according to the concentration degree.
By the method, the personalized concentration degree grade mapping table corresponding to the driver is established according to the reference concentration degree of the driver, so that the concentration degree grade of the driver is more personalized, and the individual difference is more accurate.
Further, in order to take a mandatory measure without increasing the concentration of the driver after reminding the driver, and prevent a safety accident from occurring, after the steps of determining a preset early warning measure corresponding to the early warning mode according to the early warning mode and executing the preset early warning measure, the method further includes: after the preset early warning measure is executed, acquiring the current concentration degree of the driver, and recording the execution duration of the preset early warning measure; recording the reference concentration degree of the driver after the preset early warning measure is executed for a preset time interval; and if the reference concentration does not exceed the current concentration, controlling the vehicle to park to the road edge according to the vehicle running information.
It should be noted that the current concentration degree refers to the concentration degree of the driver after the preset early warning measure is executed.
It should be understood that the execution time period refers to a time elapsed after the preset precautionary measure is executed, that is, a recording time is started after the preset precautionary measure is executed.
In a specific implementation, the preset time interval is a time interval set by a user or an administrator to record the reference concentration, and may be any time length, which is not limited in this embodiment.
It should be noted that the reference concentration degree refers to the concentration degree of the driver recorded again after the preset precautionary measure is performed for the preset time interval.
It should be understood that if the reference concentration does not exceed the current concentration, controlling the vehicle to park to the road edge according to the vehicle driving information means: and if the reference concentration degree is less than or equal to the current concentration degree, directly determining the information of the currently-running road surface according to the vehicle running information, then determining the position of the road edge, and directly parking the vehicle to the road edge.
Through this kind of mode, realized that the driver still does not improve and take emergency measures when concentrating on the degree after reminding the driver to improve to concentrate on the degree, prevented the incident from appearing, improved vehicle driving's security.
Step S40: and determining a target vehicle speed according to the concentration degree information and the vehicle running information, and adjusting the current vehicle speed of the target vehicle to the target vehicle speed.
The target vehicle speed is a vehicle speed to which the vehicle needs to be decelerated, which is calculated by combining the concentration degree information and the vehicle travel information. The calculation of the target vehicle speed can be set by a user or an administrator according to the concentration degree information, the proper vehicle speed can be adjusted by combining different states of a driver, and the vehicle can be braked at a sufficient safe distance when an emergency or an extreme situation occurs.
The embodiment obtains the vehicle running information when the target vehicle runs; acquiring an electroencephalogram signal of a driver through single-channel electroencephalogram acquisition equipment; acquiring concentration information of the driver according to the electroencephalogram signals; and determining a target vehicle speed according to the concentration degree information and the vehicle running information, and adjusting the current vehicle speed of the target vehicle to the target vehicle speed. Through this kind of mode, realized gathering driver's EEG signal through single channel brain wave collection equipment, then obtain driver's concentration degree information according to EEG signal, the speed of a motor vehicle of real-time adjustment target vehicle according to the vehicle information of traveling of concentration degree information and vehicle at last, realized can real-time automatic adjustment speed of a motor vehicle when driver's attention is not concentrated to the probability that takes place the incident when reducing driver's attention is distracted makes driving safer.
Referring to fig. 4, fig. 4 is a flowchart illustrating a second embodiment of a vehicle control method according to the present invention.
Based on the first embodiment described above, the vehicle control method of the embodiment includes, at the step S30:
step S301: and obtaining an electroencephalogram data packet according to the electroencephalogram signal.
The electroencephalogram data packet refers to a data stream of a received electroencephalogram signal as a data packet.
It should be understood that, the transmission process of the electroencephalogram data packet obtained according to the electroencephalogram signal is that the electroencephalogram signal is transmitted in an asynchronous serial data stream mode, the bluetooth module and the serial port assembly receive the electroencephalogram signal in a serial port interrupt service function with a high interrupt priority instead of a conventional software query mode, the received electroencephalogram signal can be timely processed, the real-time performance of the system is improved, and the driving safety is improved.
Therefore, the concentration degree can be obtained by decoding the electroencephalogram data packet, and the data packet consists of a packet header, an effective load and an effective load check.
Step S302: and determining an effective electroencephalogram data packet according to the electroencephalogram data packet.
It should be understood that determining the valid electroencephalogram data packet from the electroencephalogram data packet refers to: and screening a plurality of data packets with effective data from all the electroencephalogram data packets to obtain the effective electroencephalogram data packets.
Further, in order to accurately determine the valid electroencephalogram data packet, step S302 includes: acquiring effective load data and effective check data of the electroencephalogram data packet; obtaining a data check byte according to the effective load data; comparing the data check byte with the effective check data to obtain a comparison result; and determining an effective electroencephalogram data packet according to the comparison result.
In specific implementation, the concentration degree can be obtained by decoding the electroencephalogram data packet, the data packet consists of a packet header, effective load data and effective check data, wherein the packet header comprises two [ SYNC ] bytes with the byte length of 1 and one [ PLENGTH ] byte with the byte length of 1; the payload data includes [ payload. ] bytes, the bytes being 0-169 in length; the valid check data includes [ CHKSUM ] bytes, which have a byte length of 1.
It should be noted that the data check byte is obtained by adding the [ PAYLOAD … ] bytes in the data packet, then taking the lower 8 bits of data and performing the calculation of the data check byte by bit inversion, and the obtained result is the data check byte.
It should be understood that the comparison result refers to a result obtained by comparing the data check byte and the valid check data and indicating whether the two data are consistent. If the comparison result is consistent, the payload data of the packet is valid.
In specific implementation, the step of determining the effective electroencephalogram data packet according to the comparison result refers to the step of taking the electroencephalogram data packet with effective load data as the effective electroencephalogram data packet.
By the method, the effective electroencephalogram data packet can be accurately judged according to the data of the data packet, so that the electroencephalogram signal of the driver can be more accurately analyzed.
Step S303: and obtaining the concentration information of the driver according to the effective electroencephalogram data packet.
It should be noted that, obtaining the attentiveness information of the driver according to the effective electroencephalogram data packet means: and determining the grade of the spreading code according to the spreading code information and the data value information in the data group information of the effective electroencephalogram data packet, and further determining the concentration information through the grade of the spreading code.
Further, in order to accurately calculate the concentration information of the driver, the step of obtaining the concentration information of the driver according to the effective electroencephalogram data packet comprises the following steps: obtaining data group information according to the effective electroencephalogram data packet; obtaining spreading code information and data value information according to the data group information; determining the level of the spreading code of the effective electroencephalogram data packet according to the spreading code information; concentration information is obtained from the data value information and the spreading code rank.
It should be understood that obtaining the data group information according to the valid electroencephalogram data packets refers to obtaining the data group information of all electroencephalogram data packets, and the format of the data group is the data type: [ EXCODE ] and [ CODE ], data length: [ LENGTH ], data value: [ VALUE … ].
In one embodiment, the spreading code information refers to the spreading codes in all data groups of the active EEG data packet, wherein [ EXCODE ] represents the spreading codes and has a value of 0X 55.
It should be noted that the data VALUE information refers to the data VALUE in the data group of the valid electroencephalogram data packet, i.e., [ VALUE … ].
It should be understood that a spreading code rank means that each data set may contain any number [ EXCODE ], the number of [ EXCODE ] indicating the rank of the spreading code.
In a specific implementation, obtaining concentration information from the data value information and the spreading code rank means: when the spreading CODE rank is 0, if the VALUE of the [ CODE ] byte is between 0X00-0X07, then [ VALUE … ], where the [ LENGTH ] byte does not appear in the data row. If the VALUE of the [ CODE ] byte is greater than 0X7F, the [ LENGTH ] byte appears after the [ CODE ] byte to indicate the number of bytes of [ VALUE … ] data. When the spreading CODE rank is 0, [ CODE ] is 0X04, the data value represents concentration.
By the method, the concentration degree information of the driver can be accurately determined according to the data group in the effective electroencephalogram data packet, so that the concentration degree information can be calculated more accurately.
According to the embodiment, an electroencephalogram data packet is obtained according to the electroencephalogram signal; determining an effective electroencephalogram data packet according to the electroencephalogram data packet; and obtaining the concentration information of the driver according to the effective electroencephalogram data packet. Through the mode, the concentration degree information of the driver is directly determined according to the data packet of the electroencephalogram signal, so that the concentration degree information of the driver is directly obtained according to the data, and the method is more accurate.
Furthermore, an embodiment of the present invention also proposes a storage medium having a vehicle control program stored thereon, which when executed by a processor implements the steps of the vehicle control method as described above.
Since the storage medium adopts all technical solutions of all the embodiments described above, at least all the beneficial effects brought by the technical solutions of the embodiments described above are achieved, and are not described in detail herein.
Referring to fig. 5, fig. 5 is a block diagram showing the configuration of the first embodiment of the vehicle control apparatus of the present invention.
As shown in fig. 5, a vehicle control device according to an embodiment of the present invention includes:
the acquiring module 10 is used for acquiring vehicle running information when the target vehicle runs.
And the acquisition module 20 is used for acquiring the electroencephalogram signals of the driver through the single-channel electroencephalogram acquisition equipment.
And the calculation module 30 is used for obtaining the concentration information of the driver according to the electroencephalogram signal.
And the control module 40 is used for determining a target vehicle speed according to the concentration degree information and the vehicle running information and adjusting the current vehicle speed of the target vehicle to the target vehicle speed.
The embodiment obtains the vehicle running information when the target vehicle runs; acquiring an electroencephalogram signal of a driver through single-channel electroencephalogram acquisition equipment; acquiring concentration information of the driver according to the electroencephalogram signals; and determining a target vehicle speed according to the concentration degree information and the vehicle running information, and adjusting the current vehicle speed of the target vehicle to the target vehicle speed. Through this kind of mode, realized gathering driver's EEG signal through single channel brain wave collection equipment, then obtain driver's concentration degree information according to EEG signal, the speed of a motor vehicle of real-time adjustment target vehicle according to the vehicle information of traveling of concentration degree information and vehicle at last, realized can real-time automatic adjustment speed of a motor vehicle when driver's attention is not concentrated to the probability that takes place the incident when reducing driver's attention is distracted makes driving safer.
In an embodiment, the computing module 30 is further configured to obtain an electroencephalogram data packet according to the electroencephalogram signal; determining an effective electroencephalogram data packet according to the electroencephalogram data packet; and obtaining the concentration information of the driver according to the effective electroencephalogram data packet.
In an embodiment, the computing module 30 is further configured to obtain payload data and valid verification data of the electroencephalogram data packet; obtaining a data check byte according to the effective load data; comparing the data check byte with the effective check data to obtain a comparison result; and determining an effective electroencephalogram data packet according to the comparison result.
In an embodiment, the computing module 30 is further configured to obtain data group information according to the effective electroencephalogram data packet; obtaining spreading code information and data value information according to the data group information; determining the level of the spreading code of the effective electroencephalogram data packet according to the spreading code information; concentration information is obtained from the data value information and the spreading code rank.
In an embodiment, the calculation module 40 is further configured to determine a concentration level of the driver according to the concentration information; determining an early warning mode according to the concentration degree grade; and determining a preset early warning measure corresponding to the early warning mode according to the early warning mode, and executing the preset early warning measure.
In an embodiment, the calculating module 40 is further configured to determine the concentration degree of the driver according to the concentration degree information; acquiring the reference concentration degree of the driver; constructing a concentration level mapping table of the driver according to the reference concentration; and inquiring the concentration degree grade mapping table according to the concentration degree, and determining the concentration degree grade of the driver.
In an embodiment, the calculating module 40 is further configured to obtain the current concentration degree of the driver after the preset early warning measure is executed, and record the execution duration of the preset early warning measure; recording the reference concentration degree of the driver after the preset early warning measure is executed for a preset time interval; and if the reference concentration does not exceed the current concentration, controlling the vehicle to park to the road edge according to the vehicle running information.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not elaborated in the present embodiment may refer to the vehicle control method provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A vehicle control method characterized by comprising:
acquiring vehicle running information when a target vehicle runs;
acquiring an electroencephalogram signal of a driver through single-channel electroencephalogram acquisition equipment;
acquiring concentration information of the driver according to the electroencephalogram signals;
and determining a target vehicle speed according to the concentration degree information and the vehicle running information, and adjusting the current vehicle speed of the target vehicle to the target vehicle speed.
2. The method of claim 1, wherein said deriving driver attentiveness information from said brain electrical signal comprises:
obtaining an electroencephalogram data packet according to the electroencephalogram signals;
determining an effective electroencephalogram data packet according to the electroencephalogram data packet;
and obtaining the concentration information of the driver according to the effective electroencephalogram data packet.
3. The method of claim 2, wherein said determining an effective electroencephalogram data packet from said electroencephalogram data packet comprises:
acquiring effective load data and effective check data of the electroencephalogram data packet;
obtaining a data check byte according to the effective load data;
comparing the data check byte with the effective check data to obtain a comparison result;
and determining an effective electroencephalogram data packet according to the comparison result.
4. The method of claim 2, wherein said deriving driver attentiveness information from said active electroencephalogram data packet comprises:
obtaining data group information according to the effective electroencephalogram data packet;
obtaining spreading code information and data value information according to the data group information;
determining the level of the spreading code of the effective electroencephalogram data packet according to the spreading code information;
concentration information is obtained from the data value information and the spreading code rank.
5. The method of claim 1, after obtaining the driver's concentration information from the brain electrical signal, further comprising:
determining a concentration level of the driver according to the concentration information;
determining an early warning mode according to the concentration degree grade;
and determining a preset early warning measure corresponding to the early warning mode according to the early warning mode, and executing the preset early warning measure.
6. The method of claim 5, wherein said determining a concentration level for the driver from the concentration information comprises:
determining the concentration degree of the driver according to the concentration degree information;
acquiring the reference concentration degree of the driver;
constructing a concentration level mapping table of the driver according to the reference concentration;
and inquiring the concentration degree grade mapping table according to the concentration degree, and determining the concentration degree grade of the driver.
7. The method of claim 5, wherein after determining the preset precautionary measure corresponding to the precautionary mode according to the precautionary mode and executing the preset precautionary measure, the method further comprises:
after the preset early warning measure is executed, acquiring the current concentration degree of the driver, and recording the execution duration of the preset early warning measure;
recording the reference concentration degree of the driver after the preset early warning measure is executed for a preset time interval;
and if the reference concentration does not exceed the current concentration, controlling the vehicle to park to the road edge according to the vehicle running information.
8. A vehicle control apparatus, characterized by comprising:
the acquisition module is used for acquiring vehicle running information when a target vehicle runs;
the acquisition module is used for acquiring the electroencephalogram signals of the driver through single-channel electroencephalogram acquisition equipment;
the calculation module is used for obtaining concentration information of the driver according to the electroencephalogram signals;
and the control module is used for determining a target vehicle speed according to the concentration degree information and the vehicle running information and adjusting the current vehicle speed of the target vehicle to the target vehicle speed.
9. A vehicle control apparatus, characterized in that the apparatus comprises: a memory, a processor, and a vehicle control program stored on the memory and executable on the processor, the vehicle control program configured to implement the vehicle control method according to any one of claims 1 to 7.
10. A storage medium characterized in that the storage medium has stored thereon a vehicle control program that, when executed by a processor, implements the vehicle control method according to any one of claims 1 to 7.
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