CN110866176A - Vehicle, vehicle-mounted terminal, user image construction method and information push method thereof - Google Patents
Vehicle, vehicle-mounted terminal, user image construction method and information push method thereof Download PDFInfo
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Abstract
The application provides a vehicle, vehicle mounted terminal and based on the user image construction method of behavior information and based on the information push method of user image, vehicle mounted terminal gathers the behavior information that the user used the car process, according to the behavior information analysis of user's behavior information user's internal thinking image and external behavior image are right internal thinking image with external behavior image carries out optimal processing, utilize the internal thinking image and the external behavior image construction after the optimal processing with the user image that the user agrees with. By the mode, the driving behavior habit of the user can be automatically analyzed by establishing the self-portrait mode of the user personalized user image, the requirements of the user can be accurately judged, high-quality services of intelligent recommendation, automatic setting and personalized subscription are provided for the user, the user experience is improved, and the market competitiveness of the product is improved.
Description
Technical Field
The application relates to the technical field of vehicles, in particular to a vehicle-mounted terminal, a user image construction method and an information pushing method of the vehicle-mounted terminal, and a vehicle using the vehicle-mounted terminal.
Background
Along with the rapid development of the internet, the content of the internet is extremely rich, and people can conveniently obtain information, resources and the like which are wanted by themselves by means of the network. In the case of the waning ocean of the network, in the case of so many web pages and so many resources, a very serious problem is posed in the front of us: how can information really needed by the user be obtained from such a huge amount of information? In the existing mode, the user can only search and screen the information which is needed or really interested in the user with time and labor.
In the era of the second war, how to help users to timely and efficiently acquire the resources and information needed by the users is precious; meanwhile, it is also a hot spot for next generation internet research. The next generation internet is certainly intelligent, personalized and efficient, and no matter various websites or search engines, the next generation internet strives to provide efficient, intelligent and personalized services for users, so that the users can obtain good experience, and a place of the users is obtained on the battlefield without the smoke on the network.
The excellent search engines such as Google and hundredth organize network resources to a certain degree, and bring convenience to people in the aspect of information retrieval. Although the search engine has a great breakthrough in response speed and recall rate, the search results returned by the system to the users are one-to-one for the same keyword entry input, and the services cannot be differentiated according to different users. The returned search results often contain a large amount of repeated and outdated information irrelevant to the search intention or the interest of the user, and the user has to filter the information again, so that the precision rate is low, and the user experience is influenced to a certain extent. It is therefore necessary and desirable to re-screen the search results.
On the other hand, in the field of internet e-commerce in computer science and industry, the analysis of internet user behavior patterns in the prior art is mostly based on the following information: static registration information filled in by a user when using a network or a terminal, for example, name, age, location of birth, current location, field of work, family income, hobbies, marital status, and the like; actions completed on the network or the terminal, such as visited websites, clicked links, browsed pages, listened-to audio materials, browsed video materials, published speeches and text and/or picture contents generated by the speeches, and the like; actions that are ongoing on the network or the terminal, such as staying on a certain web page and its time consumption, interaction with other internet users, etc.
In the specific field of vehicle-mounted technology, the existing vehicle-mounted equipment cannot accurately judge and recommend the driving behavior, multimedia playing habit and the like of the user, the technical development speed of the vehicle-mounted equipment is far from the stage of high-speed development of a computer network, and even far behind the common network technology, the vehicle-mounted equipment cannot provide services of intelligent recommendation, automatic setting and personalized subscription for the user.
In view of various defects in the prior art, the inventors of the present application have made extensive studies to provide a vehicle, a vehicle-mounted terminal, a user image construction method thereof, and an information push method.
Disclosure of Invention
The vehicle, the vehicle-mounted terminal, the user image construction method and the information pushing method of the vehicle and the vehicle-mounted terminal can automatically analyze driving behavior habits of users, accurately judge the requirements of the users, provide high-quality services of intelligent recommendation, automatic setting and personalized subscription for the users, improve user experience and improve market competitiveness of products.
In order to solve the above technical problem, the present application provides a user image construction method based on behavior information, and as one of the implementation manners, the user image construction method includes the following steps:
the vehicle-mounted terminal collects the behavior information of a user in the vehicle using process;
analyzing the internal thinking image and the external behavior image of the user according to the behavior information of the user;
optimizing the internal thinking image and the external behavior image;
and constructing a user image which is consistent with the user by utilizing the internal thinking image and the external behavior image after the optimization processing.
As one embodiment, the step of analyzing the internal thinking image and the external behavior image of the user according to the behavior information of the user specifically includes:
analyzing the internal thinking image of the user according to the behavior information, wherein the internal thinking image comprises the thinking habits, the interests and the hobbies and the life laws of the user;
and analyzing the external behavior image of the user according to the stopping behavior information, wherein the external behavior image comprises the driving habit, the traveling habit, the habit of solving the driving problem, the speaking habit and the habit of using the vehicle of the user.
As an embodiment, the step of performing optimization processing on the internal thinking image and the external behavior image specifically includes:
according to the internal thinking image is adjusted the error data of external action image to according to external action image is adjusted the error data of internal thinking image is adjusted, so that internal thinking image with external action image is anastomotic each other.
As one embodiment, the step of acquiring the behavior information of the user in the car using process by the vehicle-mounted terminal further includes:
denoising the data information of the behavior information;
and screening data information with basically consistent pace from the data information of the behavior information subjected to denoising processing to serve as the behavior information.
As one embodiment, after the step of constructing a user image corresponding to the user by using the optimized internal thinking image and external behavior image, the method further comprises:
judging a vehicle using environment in real time in a vehicle using process of a user;
judging whether the stopping behavior information of the user in the car using environment accords with the user image;
if the user image is in accordance with the user image, the vehicle is not processed, and if the user image is not in accordance with the user image, whether the vehicle environment is an emergency condition or not is further judged;
if the vehicle environment is in an emergency situation, recording stopping behavior information under the emergency situation, and if the vehicle environment does not belong to the emergency situation, correcting the constructed user image.
In order to solve the above technical problem, the present application further provides an information pushing method based on a user image, as an implementation manner, where the user image is constructed by using the user image construction method, and the information pushing method includes:
the vehicle-mounted terminal acquires corresponding recommendation information according to the user image;
and pushing recommendation information conforming to the user image to the user.
As one implementation manner, the recommended information includes travel time selection, travel route selection, travel work and rest selection, fatigue prevention mode selection, vehicle condition setting selection, maintenance mode selection, multimedia playing mode selection, refueling selection, new vehicle marketing information and used vehicle transaction information.
In order to solve the technical problem, the present application further provides a vehicle-mounted terminal, as an embodiment, the vehicle-mounted terminal is configured with a processor, and the processor is configured to execute program data to implement the user image construction method.
In order to solve the technical problem, the present application further provides a vehicle-mounted terminal, as an embodiment, the vehicle-mounted terminal is configured with a processor, and the processor is configured to execute program data to implement the information pushing method based on the user image.
In order to solve the technical problem, the present application further provides a vehicle, as one embodiment, the vehicle is configured with the vehicle-mounted terminal, and the vehicle-mounted terminal includes a display for pushing recommendation information to a user.
This application vehicle, vehicle-mounted terminal and user's image construction method and information push method, vehicle-mounted terminal gather the user and use the behavior information of stopping of car process, according to the behavior information analysis of user's stopping the internal thinking image and the external behavior image of user, right the internal thinking image with the external behavior image carries out optimization processing, utilize the internal thinking image and the external behavior image construction after the optimization processing with the user's image that accords with. By the mode, the driving behavior habit of the user can be automatically analyzed by establishing the self-portrait mode of the user personalized user image, the requirements of the user can be accurately judged, high-quality services of intelligent recommendation, automatic setting and personalized subscription are provided for the user, the user experience is improved, and the market competitiveness of the product is improved.
The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical means of the present application more clearly understood, the present application 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 application 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 of an embodiment of a user image construction method based on behavior information according to the present application.
Fig. 2 is a schematic flow chart of an embodiment of the information push method based on the user image according to the present application.
Fig. 3 is a schematic structural diagram of an embodiment of the in-vehicle terminal according to the present application.
Detailed Description
To further clarify the technical measures and effects taken by the present application to achieve the intended purpose, the present application will be described in detail below with reference to the accompanying drawings and preferred embodiments.
While the present application has been described in terms of specific embodiments and examples for achieving the desired objects and objectives, it is to be understood that the invention is not limited to the disclosed embodiments, but is to be accorded the widest scope consistent with the principles and novel features as defined by the appended claims.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an embodiment of a user image construction method based on behavior information according to the present application.
It should be noted that the user image construction method based on behavior information in this embodiment may be applied to a vehicle-mounted terminal, and may also be applied to a mobile phone, a tablet computer, a notebook computer, a desktop computer, a wearable device, and a virtual reality device.
In this embodiment, the method for constructing a user image based on behavior information includes, but is not limited to, the following steps.
Step S101, a vehicle-mounted terminal collects behavior information of a user in a car taking process;
step S102, analyzing the internal thinking image and the external behavior image of the user according to the behavior information of the user;
step S103, carrying out optimization processing on the internal thinking image and the external behavior image;
and step S104, constructing a user image which is in accordance with the user by using the internal thinking image and the external behavior image after the optimization processing.
It is worth mentioning that the vehicle-mounted terminal collects the stopping behavior information of the user in the vehicle using process, and the stopping behavior information of the user can be collected by performing deep analysis on the stopping behavior information through the camera, the microphone, each micro control unit, the sensor on the vehicle, the setting and the operation mode when the user uses various devices, and the like.
It should be particularly noted that, in the present embodiment, the vehicle-mounted terminal may specifically adopt a human behavior recognition technology to perform intelligent recognition on the behavior of the user, and a human-computer interaction system may be installed in the vehicle-mounted terminal. For example, the human-computer interaction system of the embodiment can shoot and map the position information of some joint points such as the human skeleton through the camera, and further judge the posture and the motion of the user through the information mapped by the human skeleton.
In one embodiment, a basic framework of a human-computer interaction system can be built by adopting a Recurrent Neural Network (RNN) based on LSTM (Long-Short term memory) for learning effective action characteristics and carrying out dynamic process modeling, so that behavior recognition and detection of a user by a vehicle-mounted terminal are realized. The embodiment identifies according to a set relationship formed by a certain behavior action of a human body and some specific joint points of the skeleton and the interaction affinity of the nodes in the set. If the user wants to judge whether the user is calling, the movements of the joint points of wrist, elbow, shoulder and head are the key joint points.
Specifically, the step of analyzing the internal thinking image and the external behavior image of the user according to the behavior information of the user in this embodiment may include the following two cases:
analyzing an internal thinking image of the user according to the behavior information, wherein the internal thinking image comprises thinking habits, interests and hobbies and life laws of the user;
and in case two, analyzing the external behavior image of the user according to the stopping behavior information, wherein the external behavior image comprises the driving habit, the traveling habit, the habit of solving the driving problem, the speaking habit and the habit of using the vehicle of the user.
It is understood that the behavior information may refer to a stable behavior of an actor during various activities in a specific situation, which may reliably represent the overall quality of a person. For example, as a driver, in a driving process, the vehicle-mounted terminal adopts a human behavior recognition technology to intelligently recognize the behavior of the user, and judges that behavior information of the user comprises that the user presses a solid line to change lanes regardless of traffic rules, smokes when the vehicle is opened, changes lanes without lighting, stops according to rules, follows a discipline, frequently listens to a news radio station, leaves home and drives for a fixed time, is frequently positioned near a sport place, is available when chatting with passengers, is in patience when meeting traffic road conditions, has processing efficiency when a traffic accident occurs, is frequently maintained, and the like.
When the vehicle-mounted terminal monitors the behavior information through a camera, a positioning module, a microphone and the like, a human-computer interaction system built based on the LSTM recurrent neural network is further adopted to analyze thinking habits, interests, habits, driving habits, traveling habits of a user, driving problem solving habits, speaking habits, vehicle using habits and the like of the user according to the behavior information.
For example, if the processing efficiency of behavior information when a traffic accident occurs corresponds to the thinking habits of a user, the vehicle is often positioned near a sport place to correspond to the interests and hobbies of the user, the time for driving the vehicle home is fixed, the life rules, the travel habits and the vehicle using habits of the corresponding user are fixed, the driving habits of the corresponding user are changed without lighting, the driving habits of the corresponding user are not blocked according to rules, and the speaking habits of the corresponding user are obtained when a passenger chats, and the like.
Further, in this embodiment, the step of performing optimization processing on the internal thinking image and the external behavior image may specifically include: according to the internal thinking image is adjusted the error data of external action image to according to external action image is adjusted the error data of internal thinking image is adjusted, so that internal thinking image with external action image is anastomotic each other. For example, although the behavior information has the problem of pressing a solid line lane change regardless of traffic rules, the behavior image of the behavior information may correspond to a bad user who does not keep traffic rules, if the background of the occurrence of the events is a rescue wounded person, the current internal thinking image of the user is in line with laws, and then the error data of the external behavior image needs to be adjusted at this time, and vice versa.
In a specific implementation manner, the step of acquiring the behavior information of the user in the car using process by the vehicle-mounted terminal may further include: denoising the data information of the behavior information; and screening data information with basically consistent pace from the data information of the behavior information subjected to denoising processing to serve as the behavior information. In this embodiment, part of the behavior information of the user may occur unknowingly, for example, the lane change without lighting may be an emergency self-rescue event, for example, the lane change without regular congestion may be a temporary congestion caused by the fact that the person is not well aware of missing a turning lane, and then, the collected behavior information belongs to error data, so that the large data needs to be comprehensively processed, and the error data affecting the overall analysis is removed.
It should be noted that, after the step of constructing the user image in compliance with the user by using the optimized internal thinking image and external behavior image, the embodiment may further include the following processing procedures:
judging a vehicle using environment in real time in a vehicle using process of a user;
judging whether the stopping behavior information of the user in the car using environment accords with the user image;
if the user image is in accordance with the user image, the vehicle is not processed, and if the user image is not in accordance with the user image, whether the vehicle environment is an emergency condition or not is further judged;
if the vehicle environment is in an emergency situation, recording stopping behavior information under the emergency situation, and if the vehicle environment does not belong to the emergency situation, correcting the constructed user image.
It is understood that the processing procedure can update the user image, and can also collect the user image data under various emergency situations, so as to realize the virtual image construction of the user in all directions and obtain a virtual 'self-portrait' more conforming to the user.
According to the method and the device, the driving behavior habit of the user can be automatically analyzed by establishing the user image which is personalized by the user, the requirement of the user can be accurately judged, high-quality services of intelligent recommendation, automatic setting and personalized subscription are provided for the user, the user experience is improved, and the market competitiveness of the product is improved.
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating an embodiment of an information push method based on a user image according to the present application.
The embodiment provides an information pushing method based on a user image, which can be applied to a vehicle-mounted terminal and can also be applied to a mobile phone, a tablet computer, a notebook computer, a desktop computer, wearable equipment and virtual reality equipment.
It should be noted that, the user image in this embodiment may be constructed by using the user image construction method described above, and the information push method includes, but is not limited to, the following steps.
Step S201, the vehicle-mounted terminal obtains corresponding recommendation information according to the user image;
and step S202, pushing recommendation information conforming to the user image to the user.
It should be noted that the recommendation information in this embodiment may include travel time selection, travel route selection, travel work and rest selection, fatigue prevention mode selection, vehicle condition setting selection, maintenance mode selection, multimedia play mode selection, refueling selection, new vehicle marketing information, and second-hand vehicle transaction information.
According to the method and the device, the driving behavior habit of the user can be automatically analyzed by establishing the user image which is personalized by the user, the requirement of the user can be accurately judged, high-quality services of intelligent recommendation, automatic setting and personalized subscription are provided for the user, the user experience is improved, and the market competitiveness of the product is improved.
In a specific implementation process, information can be pushed to a user through a display, a loudspeaker and the like, and specifically, the information can be pushed to the user through a virtual display technology.
According to the method and the device, the driving behavior habit of the user can be automatically analyzed by establishing the user image personalized by the user, the requirement of the user is accurately judged, high-quality services of intelligent recommendation, automatic setting and personalized subscription are provided for the user, the user experience is improved, and the market competitiveness of the product is improved.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a vehicle-mounted terminal according to the present application.
In one embodiment, the in-vehicle terminal may be configured with a processor 31 and a memory 32, the memory is used for storing data, and the processor 31 is used for executing program data to implement the user image constructing method according to fig. 1 and the embodiment thereof.
In another embodiment, the processor 31 is further configured to execute program data to implement the information pushing method based on the user image according to fig. 2 and the embodiment thereof.
For example, the user image construction method based on behavior information includes, but is not limited to, the following steps.
The processor 31 collects the behavior information of the user in the car taking process;
the processor 31 analyzes the internal thinking image and the external behavior image of the user according to the behavior information of the user;
the processor 31 performs optimization processing on the internal thinking image and the external behavior image;
the processor 31 constructs a user image corresponding to the user using the internal thinking image and the external behavior image after the optimization processing.
For example, the processor 31 analyzes the intrinsic thinking images of the user according to the behavior information, wherein the intrinsic thinking images comprise thinking habits, hobbies and life rules of the user; or, the processor 31 analyzes the external behavior image of the user according to the stopping behavior information, wherein the external behavior image includes driving habits, traveling habits, habits of solving driving problems, speaking habits and vehicle using habits of the user.
For example, the information pushing method according to this embodiment includes, but is not limited to, the following steps.
The processor 31 acquires recommendation information corresponding to the user image according to the user image;
the processor 31 pushes recommendation information conforming to the user image to the user.
The recommendation information in this embodiment may include travel time selection, travel route selection, travel work and rest selection, fatigue prevention mode selection, vehicle condition setting selection, maintenance mode selection, multimedia play mode selection, refueling selection, new vehicle marketing information, and second-hand vehicle transaction information.
According to the method and the device, the driving behavior habit of the user can be automatically analyzed by establishing the user image personalized by the user, the requirement of the user is accurately judged, high-quality services of intelligent recommendation, automatic setting and personalized subscription are provided for the user, the user experience is improved, and the market competitiveness of the product is improved.
Please combine with the foregoing embodiment, the present application further provides a vehicle, where the vehicle is configured with the foregoing vehicle-mounted terminal, the vehicle-mounted terminal may further include a display, a speaker, and the like, the display is used to push recommendation information to a user, and the speaker may be used to broadcast recommendation information of voice to the user.
In one embodiment, the vehicle-mounted terminal may be virtually erected on the cloud server, and the information pushing method and the user image constructing method mentioned in the above embodiments are implemented through network connection between the vehicle and the vehicle-mounted terminal on the cloud server side.
It should be noted that, in the present embodiment, the vehicle-mounted terminal, the vehicle, and the cloud server may all adopt a WIFI technology or a 5G technology, for example, a 5G internet of vehicles network is used to implement network connection between each other, the 5G technology adopted in the present embodiment may be a technology oriented to scene, the present application uses the 5G technology to play a key support role for the vehicle, and simultaneously implements a contact person, a contact object, or a connection vehicle, and may specifically adopt the following three typical application scenarios.
The first is eMBB (enhanced Mobile Broadband), so that the user experience rate is 0.1-1 gpbs, the peak rate is 10gbps, and the traffic density is 10Tbps/km 2;
for the second ultra-reliable low-delay communication, the main index which can be realized by the method is that the end-to-end time delay is in the ms (millisecond) level; the reliability is close to 100%;
the third is mMTC (mass machine type communication), and the main index which can be realized by the application is the connection number density, 100 ten thousand other terminals are connected per square kilometer, and the connection number density is 10^6/km 2.
Through the mode, the characteristics of the super-reliable of this application utilization 5G technique, low time delay combine for example radar and camera etc. just can provide the ability that shows for the vehicle, can realize interdynamic with the vehicle, utilize the interactive perception function of 5G technique simultaneously, and the user can do an output to external environment, and the unable light can detect the state, can also do some feedbacks etc.. Further, the present application may also be applied to cooperation of automatic driving, such as vehicle formation and the like.
In addition, the communication enhancement automatic driving perception capability can be achieved by utilizing the 5G technology, and the requirements of passengers in the automobile on AR (augmented reality)/VR (virtual reality), games, movies, mobile office and other vehicle-mounted information entertainment and high precision can be met. According to the method and the device, the downloading amount of the 3D high-precision positioning map at the centimeter level can be 3-4 Gb/km, the data volume of the map per second under the condition that the speed of a normal vehicle is limited to 120km/h (kilometer per hour) is 90 Mbps-120 Mbps, and meanwhile, the real-time reconstruction of a local map fused with vehicle-mounted sensor information, modeling and analysis of dangerous situations and the like can be supported.
In the present application, the vehicle-mounted terminal CAN be used in a vehicle system having a vehicle TBOX, and CAN be connected to a CAN bus of the vehicle.
In this embodiment, the CAN may include three network channels CAN _1, CAN _2, and CAN _3, and the vehicle may further include one ethernet network channel, where the three CAN network channels may be connected to the ethernet network channel through two in-vehicle networking gateways, for example, where the CAN _1 network channel includes a hybrid power assembly system, where the CAN _2 network channel includes an operation support system, where the CAN _3 network channel includes an electric dynamometer system, and the ethernet network channel includes a high-level management system, the high-level management system includes a human-vehicle-road simulation system and a comprehensive information collection unit that are connected as nodes to the ethernet network channel, and the in-vehicle networking gateways of the CAN _1 network channel, the CAN _2 network channel, and the ethernet network channel may be integrated in the comprehensive information collection unit; the car networking gateway of the CAN _3 network channel and the Ethernet network channel CAN be integrated in a man-car-road simulation system.
Further, the nodes connected to the CAN _1 network channel include: the hybrid power system comprises an engine ECU, a motor MCU, a battery BMS, an automatic transmission TCU and a hybrid power controller HCU; the nodes connected with the CAN _2 network channel are as follows: the system comprises a rack measurement and control system, an accelerator sensor group, a power analyzer, an instantaneous oil consumption instrument, a direct-current power supply cabinet, an engine water temperature control system, an engine oil temperature control system, a motor water temperature control system and an engine intercooling temperature control system; the nodes connected with the CAN _3 network channel are as follows: electric dynamometer machine controller.
The preferable speed of the CAN _1 network channel is 250Kbps, and a J1939 protocol is adopted; the rate of the CAN _2 network channel is 500Kbps, and a CANopen protocol is adopted; the rate of the CAN _3 network channel is 1Mbps, and a CANopen protocol is adopted; the rate of the Ethernet network channel is 10/100Mbps, and a TCP/IP protocol is adopted.
In this embodiment, the car networking gateway supports a 5G network of 5G technology, which may also be equipped with an IEEE802.3 interface, a DSPI interface, an eSCI interface, a CAN interface, an MLB interface, a LIN interface, and/or an I2C interface.
In this embodiment, for example, the IEEE802.3 interface may be used to connect to a wireless router to provide a WIFI network for the entire vehicle; the DSPI (provider manager component) interface is used for connecting a Bluetooth adapter and an NFC (near field communication) adapter and can provide Bluetooth connection and NFC connection; the eSCI interface is used for connecting the 4G/5G module and communicating with the Internet; the CAN interface is used for connecting a vehicle CAN bus; the MLB interface is used for connecting an MOST (media oriented system transmission) bus in the vehicle, and the LIN interface is used for connecting a LIN (local interconnect network) bus in the vehicle; the IC interface is used for connecting a DSRC (dedicated short-range communication) module and a fingerprint identification module. In addition, the application can merge different networks by mutually converting different protocols by adopting the MPC5668G chip.
In addition, the vehicle TBOX system (Telematics-BOX) of the present embodiment is simply referred to as an on-vehicle TBOX or a Telematics.
Telematics is a synthesis of Telecommunications and information science (information) and is defined as a service system that provides information through a computer system, a wireless communication technology, a satellite navigation device, and an internet technology that exchanges information such as text and voice, which are built in a vehicle. In short, the vehicle is connected to the internet (vehicle networking system) through a wireless network, and various information necessary for driving and life is provided for the vehicle owner.
In addition, Telematics is a combination of wireless communication technology, satellite navigation system, network communication technology and vehicle-mounted computer, when a fault occurs during vehicle running, the vehicle is remotely diagnosed by connecting a service center through wireless communication, and the computer built in the engine can record the state of main parts of the vehicle and provide accurate fault position and reason for maintenance personnel at any time. The vehicle can receive information and check traffic maps, road condition introduction, traffic information, safety and public security services, entertainment information services and the like through the user communication terminal, and in addition, the vehicle of the embodiment can be provided with electronic games and network application in a rear seat. It is easy to understand that, this embodiment provides service through Telematics, can make things convenient for the user to know traffic information, the parking stall situation that closes on the parking area, confirms current position, can also be connected with the network server at home, in time knows electrical apparatus running condition, the safety condition and guest's condition of visiting etc. at home.
The vehicle according to this embodiment may further include an Advanced Driver Assistance System (ADAS) that collects environmental data inside and outside the vehicle at the first time using the various sensors mounted on the vehicle, and performs technical processing such as identification, detection, and tracking of static and dynamic objects, so that a Driver can recognize a risk that may occur at the fastest time, thereby attracting attention and improving safety. Correspondingly, the ADAS of the present application may also employ sensors such as radar, laser, and ultrasonic sensors, which can detect light, heat, pressure, or other variables for monitoring the state of the vehicle, and are usually located on the front and rear bumpers, side view mirrors, the inside of the steering column, or on the windshield of the vehicle. It is obvious that various intelligent hardware used by the ADAS function can be accessed to the car networking system by means of an ethernet link to realize communication connection and interaction.
The host computer of the present embodiment vehicle may comprise suitable logic, circuitry, and/or code that may enable operation and/or functional operation of the five layers above the OSI model (Open System Interconnection, Open communication systems Interconnection reference model). Thus, the host may generate and/or process packets for transmission over the network, and may also process packets received from the network. At the same time, the host may provide services to a local user and/or one or more remote users or network nodes by executing corresponding instructions and/or running one or more applications. In various embodiments of the present application, the host may employ one or more security protocols.
Although the present application has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the application, and all changes, substitutions and alterations that fall within the spirit and scope of the application are to be understood as being included within the following description of the preferred embodiment.
Claims (10)
1. A user image construction method based on behavior information is characterized by comprising the following steps:
the vehicle-mounted terminal collects the behavior information of a user in the vehicle using process;
analyzing the internal thinking image and the external behavior image of the user according to the behavior information of the user;
optimizing the internal thinking image and the external behavior image;
and constructing a user image which is consistent with the user by utilizing the internal thinking image and the external behavior image after the optimization processing.
2. The method for constructing a user image according to claim 1, wherein the step of analyzing the internal thinking image and the external behavior image of the user according to the behavior information of the user specifically comprises:
analyzing the internal thinking image of the user according to the behavior information, wherein the internal thinking image comprises the thinking habits, the interests and the hobbies and the life laws of the user;
and analyzing the external behavior image of the user according to the stopping behavior information, wherein the external behavior image comprises the driving habit, the traveling habit, the habit of solving the driving problem, the speaking habit and the habit of using the vehicle of the user.
3. The method for constructing a user image according to claim 2, wherein the step of performing optimization processing on the internal thinking image and the external behavior image specifically comprises:
according to the internal thinking image is adjusted the error data of external action image to according to external action image is adjusted the error data of internal thinking image is adjusted, so that internal thinking image with external action image is anastomotic each other.
4. The user image construction method according to claim 2, wherein the step of the vehicle-mounted terminal collecting the behavior information of the user during the use of the vehicle further comprises:
denoising the data information of the behavior information;
and screening data information with basically consistent pace from the data information of the behavior information subjected to denoising processing to serve as the behavior information.
5. The user image construction method according to any one of claims 1-4, wherein after the step of constructing a user image corresponding to the user by using the optimized internal thinking image and external behavior image, further comprising:
judging a vehicle using environment in real time in a vehicle using process of a user;
judging whether the stopping behavior information of the user in the car using environment accords with the user image;
if the user image is in accordance with the user image, the vehicle is not processed, and if the user image is not in accordance with the user image, whether the vehicle environment is an emergency condition or not is further judged;
if the vehicle environment is in an emergency situation, recording stopping behavior information under the emergency situation, and if the vehicle environment does not belong to the emergency situation, correcting the constructed user image.
6. An information push method based on user image, wherein the user image is constructed by the user image construction method according to any one of claims 1-5, the information push method comprises:
the vehicle-mounted terminal acquires corresponding recommendation information according to the user image;
and pushing recommendation information conforming to the user image to the user.
7. The information pushing method according to claim 6, wherein the recommendation information includes travel time selection, travel route selection, travel work and rest selection, fatigue prevention mode selection, vehicle condition setting selection, maintenance mode selection, multimedia playing mode selection, refueling selection, new vehicle marketing information and used vehicle transaction information.
8. An in-vehicle terminal characterized in that the in-vehicle terminal is provided with a processor for executing program data to realize the user image construction method according to any one of claims 1 to 5.
9. An in-vehicle terminal characterized in that the in-vehicle terminal is provided with a processor for executing program data to implement the user image-based information push method according to claim 6 or 7.
10. A vehicle characterized in that the vehicle is provided with the in-vehicle terminal according to claim 8 or 9, the in-vehicle terminal comprising:
and the display is used for pushing the recommendation information to the user.
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