Monitoring method and device for chauffeur service, vehicle, storage medium and product

Abstract

The application relates to the technical field of vehicles, in particular to a monitoring method and device for a chauffeur service, a vehicle, a storage medium and a product, wherein the method comprises the following steps: identifying the body movement and language information of a user; matching a target protection mechanism according to the body movement and language information, and detecting the driving behavior and current driving route of a chauffeur; generating a risk alarm signal according to the driving behavior and / or current driving route of the chauffeur, and executing a target alarm mode based on the target protection mechanism and the risk alarm signal. Therefore, the method solves the problems that the related art protects the user by monitoring the driving route of the vehicle, and the technical means is single and the safety is poor.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a monitoring method and device for chauffeur service, a vehicle, a storage medium and a product. BACKGROUND

[0002] With the development of social economy and the diversification of lifestyle, chauffeur service has gradually become an indispensable part of people's life due to its convenience and necessity. Especially in the case of user drinking or other inability to drive, chauffeur service provides a safe solution to go home.

[0003] The chauffeur service in the related art usually relies on a navigation system to monitor the driving route of the vehicle. When the vehicle deviates from the predetermined route, the system will issue a deviation prompt. However, this mechanism is limited in effect when the user is drunk and unconscious, because the user cannot respond to the prompt in time. When the user is drunk but still conscious, if the danger is predicted, the user may try to save himself by shouting, struggling or sending messages. But this behavior may irritate the chauffeur driver, causing the safety incident to escalate and causing more serious consequences. Therefore, how to provide a more comprehensive and intelligent user protection method, especially in the chauffeur scenario, has become a problem to be solved. SUMMARY

[0004] The present application provides a monitoring method and device for chauffeur service, a vehicle, a storage medium and a product to solve the problem that the related art protects the user by monitoring the driving route of the vehicle, which has the problems of single technical means and poor safety.

[0005] The first aspect embodiment of the present application provides a monitoring method for chauffeur service, comprising the following steps: identifying the limb action and language information of the user; matching the target protection mechanism according to the limb action and language information, and detecting the driving behavior of the chauffeur driver and the current driving route; generating a risk alarm signal according to the driving behavior of the chauffeur driver and / or the current driving route, and executing a target alarm mode based on the target protection mechanism and the risk alarm signal.

[0006] Optionally, matching the target protection mechanism according to the limb action and language information comprises: obtaining a corresponding relationship table of abnormal behavior data and protection mechanism; determining the abnormal behavior data of the user according to the limb action and language information, and querying the corresponding relationship table to obtain the target protection mechanism with the abnormal behavior data as the index.

[0007] Optionally, the alarm modes corresponding to different protection mechanisms are different, and the protection mechanisms are divided into automatic protection mechanism and active protection mechanism.

[0008] Optionally, the target alarm mode is executed based on the target protection mechanism and the risk alarm signal, including: if the target protection mechanism is an automatic protection mechanism, when the risk alarm signal is detected, the target contact person previously set by the user and / or the ride-hailing platform is reminded in a preset manner, and at the same time, image information and vehicle trajectory information in the vehicle are acquired in real time and sent to the target contact person; if the target protection mechanism is a proactive protection mechanism, when the risk alarm signal is detected, the alarm and vehicle trajectory information are sent to the target contact person according to the triggering instruction of the user.

[0009] Optionally, the risk alarm signal is generated according to the driving behavior of the ride-hailing driver, including: acquiring real-time driving video of the ride-hailing driver; determining the emotional state of the ride-hailing driver according to the real-time driving video, and judging whether the ride-hailing driver has dangerous driving behavior according to the emotional state; if so, a risk alarm signal is generated.

[0010] Optionally, the risk alarm signal is generated according to the current driving route, including: identifying the destination in the user's ride-hailing request; generating a planned route according to the destination, and generating a risk alarm signal when the current driving route deviates from the planned route.

[0011] The second aspect embodiment of the application provides a ride-hailing service monitoring device, including: an identification module for identifying the body movement and language information of a user; a matching module for matching a target protection mechanism according to the body movement and language information, and detecting the driving behavior of a ride-hailing driver and the current driving route; a monitoring module for generating a risk alarm signal according to the driving behavior of the ride-hailing driver and / or the current driving route, and executing a target alarm mode based on the target protection mechanism and the risk alarm signal.

[0012] Optionally, the matching module is further configured to acquire a corresponding relationship table of abnormal behavior data and protection mechanisms; determine the abnormal behavior data of the user according to the body movement and language information, and query the corresponding relationship table to obtain the target protection mechanism by taking the abnormal behavior data as an index.

[0013] Optionally, the alarm modes corresponding to different protection mechanisms are different, and the protection mechanisms are divided into an automatic protection mechanism and a proactive protection mechanism.

[0014] Optionally, the monitoring module is further configured to, if the target protection mechanism is an automatic protection mechanism, when the risk alarm signal is detected, remind the target contact person previously set by the user and / or the ride-hailing platform in a preset manner, and at the same time, acquire image information and vehicle trajectory information in the vehicle in real time and send them to the target contact person; if the target protection mechanism is a proactive protection mechanism, when the risk alarm signal is detected, the alarm and vehicle trajectory information are sent to the target contact person according to the triggering instruction of the user.

[0015] Optionally, the monitoring module is further configured to acquire a real-time driving video of the driver; determine an emotional state of the driver according to the real-time driving video; determine whether the driver has dangerous driving behavior according to the emotional state; and generate a risk alarm signal if the driver has dangerous driving behavior.

[0016] Optionally, the monitoring module is further configured to identify a destination in the user's driving request; generate a planned route according to the destination; and generate a risk alarm signal when the current driving route deviates from the planned route.

[0017] The third aspect of the present application provides a vehicle, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for monitoring the driving service according to the above-mentioned embodiments.

[0018] The fourth aspect of the present application provides a computer readable storage medium having a computer program stored thereon, wherein the program is executed by a processor to implement the method for monitoring the driving service according to the above-mentioned embodiments.

[0019] The fifth aspect of the present application provides a computer program product, comprising a computer program or instructions, wherein the computer program or instructions are executed to implement the method for monitoring the driving service according to the above-mentioned embodiments.

[0020] Therefore, the present application has at least the following beneficial effects:

[0021] The embodiments of the present application can determine the target protection mechanism based on the user's body movements and language information, provide more flexible and personalized security protection, have good practical value and market prospect, and through real-time monitoring of the behavior and driving route of the driver, potential security threats can be found in time, and corresponding alarm modes can be executed to ensure the safety of the user's life and property during the driving process. Therefore, the related art problem of single technical means and poor security by monitoring the driving route of the vehicle to protect the user is solved.

[0022] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0023] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, taken in conjunction with the accompanying drawings, in which:

[0024] Figure 1 A structural diagram of an intelligent protection system for a user according to an embodiment of the present application is shown;

[0025] Figure 2A flowchart of a method for monitoring a chauffeur service according to an embodiment of the present application is provided.

[0026] Figure 3 An example diagram of a method for monitoring a chauffeur service according to an embodiment of the present application is provided.

[0027] Figure 4 A block diagram of a monitoring device for a chauffeur service according to an embodiment of the present application is provided.

[0028] Figure 5 A structural diagram of a vehicle according to an embodiment of the present application is provided. DETAILED DESCRIPTION

[0029] Embodiments of the present application are described in detail below with reference to the accompanying drawings, in which the same or similar components have the same or similar designations throughout the several views, and repeated description of which is omitted. The embodiments described below are examples in which the purpose is to explain the present application, and should not be construed as limiting the present application.

[0030] The monitoring method, device, vehicle, storage medium and product of a chauffeur service according to embodiments of the present application are described below with reference to the accompanying drawings. In view of the problems mentioned in the background art, the present application provides a monitoring method for a chauffeur service, in which the target protection mechanism can be determined based on the user's body movements and language information, providing more flexible and personalized safety protection, having good practical value and market prospects, and by monitoring the behavior and driving route of the chauffeur driver in real time, potential safety threats can be discovered in time, and corresponding alarm methods can be executed to ensure the safety of the user's life and property during the chauffeur process. Thus, the related art problem of protecting the user by monitoring the driving route of the vehicle is solved, and the technical means is single and the safety is poor.

[0031] Before introducing the present application, the intelligent protection system for users involved is described in detail, as shown in Figure 1 The system is composed of multiple modules, which aims to monitor the running status of the chauffeur vehicle and the driving behavior of the chauffeur driver in real time, and timely issue a warning information when an abnormality is detected. The system includes a navigation path deviation determination module for monitoring whether the vehicle deviates from the preset route; an intelligent recognition module can monitor the driving behavior of the driver using face recognition technology, and identify the user's self-help signal in combination with gesture and voice technology; a risk warning module can issue a warning to the user and emergency contact person when an abnormal situation is found; a mobile terminal is used to initiate the chauffeur mode, set the navigation destination, emergency contact person, privacy authorization and other information, and upload to the cloud; the cloud is used to receive and send instructions from the mobile terminal and the vehicle terminal. The system can effectively improve the safety of the chauffeur service and ensure the safety of the user during the chauffeur process.

[0032] Specifically,Figure 1 A flowchart of a monitoring method for a chauffeur service provided by an embodiment of the present application.

[0033] As shown in the figure, the monitoring method for a chauffeur service includes the following steps: Figure 1

[0034] In step S101, the user's body movements and language information are identified.

[0035] It can be understood that the embodiments of the present application can use sensors and image recognition technology to monitor and identify the user's body movements, such as using a vehicle-mounted camera to capture the user's body posture and movements or detecting the pressure change on the seat through a pressure sensor to identify the user's body movements, without specific limitation. The language information of the user can be captured by the high-quality microphone array in the vehicle, and the voice recognition technology can convert the voice into text for further analysis.

[0036] In step S102, the target protection mechanism is matched according to the body movements and language information, and the driving behavior of the chauffeur and the current driving route are detected.

[0037] In an embodiment of the present application, the target protection mechanism is matched according to the body movements and language information, including: obtaining a corresponding relationship table of abnormal behavior data and protection mechanisms; determining the user's abnormal behavior data according to the body movements and language information, and querying the corresponding relationship table with the abnormal behavior data as the index to obtain the target protection mechanism.

[0038] The corresponding relationship table is the different corresponding relationship between abnormal behavior data and protection mechanisms, which records the characteristics of various abnormal behaviors and the corresponding protection measures in detail, and can quickly match and start the corresponding protection mechanism according to the specific behavior of the user. Specifically, through comprehensive analysis of the body movements and language information, the system can identify abnormal behaviors such as sudden large movements, abnormal voice instructions or emotional fluctuations, etc. These abnormal behaviors may indicate that the user has encountered an emergency or an unsafe environment, and the corresponding protection mechanism can be triggered according to the identified behavior.

[0039] In step S103, a risk warning signal is generated according to the driving behavior of the chauffeur and / or the current driving route, and a target warning mode is executed based on the target protection mechanism and the risk warning signal.

[0040] ​In an embodiment of the present application, different protection mechanisms correspond to different alarm modes, the protection mechanisms are divided into automatic protection mechanism and active protection mechanism, and a target alarm mode is executed based on a target protection mechanism and a risk alarm signal, including: if the target protection mechanism is the automatic protection mechanism, when the risk alarm signal is detected, the target contact person previously set by the user is reminded in a preset mode, and at the same time, image information and vehicle trajectory information in the vehicle are acquired in real time and sent to the target contact person; if the target protection mechanism is the active protection mechanism, when the risk alarm signal is detected, the alarm and the vehicle trajectory information are sent to the target contact person according to the trigger instruction of the user.

[0041] In the embodiment of the present application, the protection mechanism is divided into automatic protection mechanism and active protection mechanism. The automatic protection mechanism can be automatically executed without additional operation of the user when the risk signal is detected, while the active protection mechanism needs to be started by the explicit instruction or trigger condition of the user. When the system detects the risk alarm signal, corresponding alarm modes are executed according to the difference of the target protection mechanism.

[0042] Specifically, the automatic protection mechanism can include navigation deviation warning and driver behavior recognition, and this mechanism is more focused on the protection of the user in the scene of being drunk and unconscious. When the system detects the risk alarm signal (such as abnormal behavior of the driver or deviation from the planned route), the warning information can be transmitted to the user and the target contact person or platform authorized by the user in the form of short message, call, etc., and the image information in the vehicle and the vehicle trajectory information are sent to the target contact person in real time, so that corresponding measures can be taken, and the privacy right of the user can be protected, and unnecessary privacy leakage risk can be avoided.

[0043] Under the active protection mechanism, the system will send an alarm and vehicle trajectory information according to the user's instructions. The intelligent identification module includes intelligent voice recognition, gesture recognition, hidden switch recognition, etc. When a risk alarm signal is detected, the intelligent voice password instruction trigger is triggered through intelligent voice technology. In the event of danger, the user can trigger the user protection mechanism in the form of a password instruction. These password instructions can be pre-set words, phrases or specific sounds to avoid detection and counter-detection by the driver. Once the password instruction is recognized, the system will automatically trigger an alarm and issue it to the risk warning module. Gesture recognition combines camera recognition technology to automatically trigger the user protection mechanism by recognizing the user's gesture cues. The user can send a help signal by presetting a gesture, and the system will automatically recognize and start the corresponding protection measures. This gesture recognition method can provide an effective help means when it is not convenient to use voice. The hidden switch trigger system sets hidden switches near the driver's door or the rear seat, which automatically triggers an alarm and issues it to the risk warning module when the user encounters danger. Thus, through various rescue methods such as passwords, gestures, voices, and hidden switches, it is convenient to maximize the protection of user safety in different scenarios, improve the flexibility and convenience of rescue, and ensure timely assistance in emergency situations.

[0044] In an embodiment of the present application, a risk alarm signal is generated according to the driving behavior of the driver, including: obtaining real-time driving video of the driver; determining the emotional state of the driver according to the real-time driving video, and determining whether the driver has dangerous driving behavior according to the emotional state; if so, a risk alarm signal is generated.

[0045] It can be understood that the intelligent identification module of the embodiment of the present application includes driver behavior recognition, which identifies the driver's facial expressions, eye states, head postures, etc. in real time to determine whether the driver's driving behavior is normal and whether the driver's emotional state is stable. When abnormal behavior of the driver is detected, the system generates a risk alarm signal and issues it to the risk warning module to take timely measures to protect the user's safety.

[0046] In an embodiment of the present application, a risk alarm signal is generated according to the current driving route, including: identifying the destination in the user's ride request; generating a planned route according to the destination, and generating a risk alarm signal when the current driving route deviates from the planned route.

[0047] It can be understood that the embodiment of the present application can monitor the current driving route by identifying the destination in the ride request and generating a planned route, and comparing the consistency of the current driving route and the planned route in real time. Once a deviation is found, the system will generate a risk alarm signal to remind the user and relevant parties of possible abnormal situations.

[0048] The following will be described in conjunction withFigure 3 The monitoring method of the chauffeur service of the embodiment of the application is described in detail as follows:

[0049] Step 001: The user books a chauffeur mode and sets a destination

[0050] The user books a chauffeur mode through a mobile phone terminal and sets a navigation destination. Instructions are uploaded to the cloud and then issued to the terminal of the vehicle. The terminal of the vehicle can automatically plan an optimal navigation path according to the destination.

[0051] Step 002: The user sets an emergency contact and authorizes private information

[0052] The user sets an emergency contact through a mobile phone terminal. Meanwhile, the user can optionally enable authorization of private information such as a vehicle camera, vehicle GPS, and travel trajectory. The authorized object can remotely view in real time the in-vehicle monitoring and vehicle information during the authorization period.

[0053] Step 003: The chauffeur starts the vehicle and plans a route

[0054] After receiving an order, the chauffeur starts the vehicle. The terminal of the vehicle automatically starts planning a route according to the received navigation destination.

[0055] Step 004: Start the chauffeur protection mode

[0056] The chauffeur monitoring and protection mode is automatically started during the trip. This mode includes a navigation path deviation judgment module and an intelligent recognition module.

[0057] 1. Navigation path deviation judgment module

[0058] By monitoring the driving route and behavior of the chauffeur in real time, when the chauffeur deviates from the navigation path, the system automatically triggers a message, a simulated call, or the like to remind the user to be vigilant. At the same time, the system can automatically trigger an alarm and issue it to the risk warning module without the chauffeur's awareness, so as to timely notify the emergency contact and take measures by viewing real-time monitoring pictures and vehicle information.

[0059] 2. Intelligent recognition module

[0060] The intelligent recognition module includes driver behavior recognition, intelligent voice recognition, gesture recognition, hidden switch recognition, and the like.

[0061] Driver behavior recognition identifies the driver's facial expression, eye state, head posture, and the like in real time to determine whether the driver's driving behavior is normal and whether the driver's emotional state is stable. When the chauffeur exhibits abnormal behavior, the system automatically triggers an alarm and issues it to the risk warning module to take timely measures to ensure the safety of the user.

[0062] The intelligent voice password instruction trigger is triggered by intelligent voice technology. When danger occurs, the user can trigger the user protection mechanism in the form of a password instruction. These password instructions can be pre-set words, phrases, or specific sounds to avoid detection and counter-reconnaissance by the driver. Once the password instruction is recognized, the system will automatically trigger an alarm and send it to the risk warning module.

[0063] Gesture recognition combines camera recognition technology to automatically trigger the user protection mechanism by recognizing the user's gesture cues. The user can send a help signal by pre-set gestures, and the system will automatically recognize and start the corresponding protection measures. This gesture recognition method can provide an effective help means when it is not convenient to use voice.

[0064] The hidden switch trigger system sets hidden switches near the driver's door or the rear seat, which automatically triggers an alarm and sends it to the risk warning module when the user encounters danger.

[0065] Step 005: Risk warning and response

[0066] When the system detects a deviation, abnormal driving behavior, or the user initiates a help signal, the safety warning module triggers the warning mechanism immediately. On the one hand, the system automatically sends warning information to the user himself or the user's designated emergency contact, informing them of the current situation and the real-time positioning and status of the vehicle, improving the user's vigilance and awareness of prevention. On the other hand, within the scope and period of the user's authorization, the emergency contact can access real-time monitoring images and vehicle trajectory information in the vehicle, ensuring the user's safety.

[0067] Step 006: Arrive at the destination, end the driving service mode

[0068] Arrive at the destination to end the navigation deviation monitoring, and the user's authorized related privacy permissions are automatically closed.

[0069] The monitoring method of the driving service according to the embodiments of the present application can determine the target protection mechanism based on the user's body movements and language information, providing more flexible and personalized safety protection, and has good practical value and market prospects. By monitoring the behavior and driving route of the driving driver in real time, potential safety threats can be discovered in a timely manner, and appropriate alarm methods can be executed to ensure the safety of the user's life and property during the driving process. Thus, the related art problem of single technical means and poor safety by monitoring the driving route of the vehicle to protect the user is solved.

[0070] Next, the monitoring device of the driving service according to the embodiments of the present application is described with reference to the accompanying drawings.

[0071] Figure 4 is a block diagram of the monitoring device of the driving service according to the embodiments of the present application.

[0072] As Figure 4 shown, the monitoring device 10 of the chauffeur service includes an identification module 100, a matching module 200 and a monitoring module 300.

[0073] The identification module 100 is configured to identify the limb action and language information of the user; the matching module 200 is configured to match the target protection mechanism according to the limb action and language information, and detect the driving behavior and current driving route of the chauffeur driver; and the monitoring module 300 is configured to generate a risk alarm signal according to the driving behavior and / or current driving route of the chauffeur driver, and execute a target alarm mode based on the target protection mechanism and the risk alarm signal.

[0074] In an embodiment of the present application, the matching module 200 is further configured to obtain a corresponding relationship table of abnormal behavior data and protection mechanisms; determine the abnormal behavior data of the user according to the limb action and language information, and query the corresponding relationship table to obtain the target protection mechanism by taking the abnormal behavior data as an index.

[0075] In an embodiment of the present application, the alarm modes corresponding to different protection mechanisms are different, and the protection mechanisms are divided into automatic protection mechanisms and active protection mechanisms.

[0076] In an embodiment of the present application, the monitoring module 300 is further configured to, if the target protection mechanism is an automatic protection mechanism, remind the chauffeur platform and / or the target contact person previously set by the user in a preset mode while real-time acquiring image information and vehicle trajectory information in the vehicle and sending them to the target contact person when the risk alarm signal is detected; and if the target protection mechanism is an active protection mechanism, send the alarm and vehicle trajectory information to the target contact person according to the trigger instruction of the user when the risk alarm signal is detected.

[0077] In an embodiment of the present application, the monitoring module 300 is further configured to acquire real-time driving video of the chauffeur driver; determine the emotional state of the chauffeur driver according to the real-time driving video, judge whether the chauffeur driver has dangerous driving behavior according to the emotional state, and generate a risk alarm signal if the chauffeur driver has dangerous driving behavior.

[0078] In an embodiment of the present application, the monitoring module 300 is further configured to identify the destination in the chauffeur request of the user; generate a planned route according to the destination, and generate a risk alarm signal when the current driving route deviates from the planned route.

[0079] It should be noted that the above explanation and description of the embodiment of the monitoring method of the chauffeur service also apply to the monitoring device of the chauffeur service of the embodiment, which will not be described here.

[0080] The monitoring device for driving service provided by the embodiment of the present application can determine the target protection mechanism based on the body movement and language information of the user, provide more flexible and personalized security protection, has good practical value and market prospect, and through real-time monitoring of the behavior and driving route of the driving driver, potential safety threats can be found in time, and corresponding alarm modes are executed, so that the life and property safety of the user in the driving process is ensured. Therefore, the problems of single technical means and poor safety of the related art by monitoring the driving route of the vehicle to protect the user are solved.

[0081] Figure 5 The vehicle structure schematic diagram provided by the embodiment of the present application. The vehicle can include:

[0082] The memory 501, the processor 502 and the computer program stored in the memory 501 and executable on the processor 502.

[0083] The processor 502 implements the monitoring method for driving service provided in the above embodiment when executing the program.

[0084] Further, the vehicle further includes:

[0085] The communication interface 503 is used for communication between the memory 501 and the processor 502.

[0086] The memory 501 is used to store the computer program executable on the processor 502.

[0087] The memory 501 can include a high-speed RAM (Random Access Memory, Random Access Memory) memory, and can also include a non-volatile memory, for example, at least one disk memory.

[0088] If the memory 501, the processor 502 and the communication interface 503 are independently implemented, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and complete the communication between each other. The bus can be an ISA (Industry Standard Architecture, Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect, Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture, Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of expression, Figure 5 Only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0089] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can complete the communication among each other through an internal interface.

[0090] The processor 502 can be a CPU (Central Processing Unit, central processor), or an ASIC (Application Specific Integrated Circuit, specific integrated circuit), or one or more integrated circuits configured to implement the embodiments of the present application.

[0091] The embodiments of the present application also provide a computer readable storage medium, which has a computer program stored thereon, and the computer program is executed by the processor to implement the above-mentioned method for monitoring a chauffeur service.

[0092] The embodiments of the present application also provide a computer program product, which includes a computer program or instructions, and the computer program or instructions are executed to implement the above-mentioned method for monitoring a chauffeur service.

[0093] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present application, the illustrative description of the above terms is not necessarily directed to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or N embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the present application and the features of the different embodiments or examples without contradiction.

[0094] In addition, the terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "N" is at least two, for example, two, three, etc., unless otherwise specifically limited.

[0095] Any process or method described in a flowchart or otherwise described herein can be understood as representing code modules, segments, or portions of code that include one or more executable instructions for implementing the specified logical functions or steps, and the various embodiments of the application include alternative implementations of the described processes or methods, in which the order of steps can be changed, including the use of simultaneous steps or reverse order of steps, where necessary and / or desirable.

[0096] It should be understood that various parts of the present application can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, the steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As such, if implemented in hardware and in another embodiment, any of the following technologies, known in the art, or their combinations, can be used to implement: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays, field programmable gate arrays, and the like.

[0097] Those of ordinary skill in the art can understand that all or part of the steps carried out by the above-mentioned embodiment methods can be completed by programs instructing relevant hardware, and the programs can be stored in a computer readable storage medium, and when executed, include one or a combination of steps of the embodiment methods.

[0098] Although the above has shown and described the embodiments of the present application, it should be understood that the above-mentioned embodiments are exemplary and cannot be understood as limiting the present application, and those of ordinary skill in the art can make changes, modifications, replacements and variations to the above-mentioned embodiments within the scope of the present application.

Claims

1. A method of monitoring a chauffeur service, characterized by, The method comprises the following steps: identifying the user's body movement and language information; matching a target protection mechanism according to the body movement and the language information, and detecting the driving behavior of the driver and the current driving route; generating a risk warning signal according to the driving behavior of the driver and / or the current driving route, and executing a target alarm mode based on the target protection mechanism and the risk warning signal, wherein different protection mechanisms correspond to different alarm modes, and the protection mechanisms are divided into automatic protection mechanisms and active protection mechanisms; The matching of the target protection mechanism according to the body movement and the language information comprises: obtaining a corresponding relationship table of abnormal behavior data and protection mechanisms; determining the abnormal behavior data of the user according to the body movement and the language information; and querying the corresponding relationship table with the abnormal behavior data as an index to obtain the target protection mechanism; The execution of the target alarm mode based on the target protection mechanism and the risk warning signal comprises: if the target protection mechanism is the automatic protection mechanism, reminding the driver platform and / or the target contact person previously set by the user in a preset manner while real-time acquiring image information and vehicle trajectory information in the vehicle and sending them to the target contact person when the risk warning signal is detected; and if the target protection mechanism is the active protection mechanism, sending an alarm and the vehicle trajectory information to the target contact person according to the trigger instruction of the user when the risk warning signal is detected. The generation of the risk warning signal according to the driving behavior of the driver comprises: acquiring real-time driving video of the driver; determining the emotional state of the driver according to the real-time driving video; judging whether the driver has dangerous driving behavior according to the emotional state; and generating the risk warning signal if the driver has dangerous driving behavior.

2. The method of claim 1, wherein, The generation of the risk warning signal according to the current driving route comprises: identifying the destination in the user's driving request; generating a planned route according to the destination, and generating the risk warning signal when the current driving route deviates from the planned route.

3. A monitoring device for a chauffeur service, characterized in that The method comprises: an identification module for identifying the user's body movement and language information; a matching module for matching a target protection mechanism according to the body movement and the language information, and detecting the driving behavior of the driver and the current driving route; a monitoring module for generating a risk warning signal according to the driving behavior of the driver and / or the current driving route, and executing a target alarm mode based on the target protection mechanism and the risk warning signal, wherein different protection mechanisms correspond to different alarm modes, and the protection mechanisms are divided into automatic protection mechanisms and active protection mechanisms; The matching module is further used for: obtaining a corresponding relationship table of abnormal behavior data and protection mechanisms; determining the abnormal behavior data of the user according to the body movement and the language information; and querying the corresponding relationship table with the abnormal behavior data as an index to obtain the target protection mechanism; The monitoring module is further configured to: if the target protection mechanism is the automatic protection mechanism, when the risk alarm signal is detected, reminding the designated driving platform and / or the target contact person previously set by the user in a preset manner, and sending image information and vehicle trajectory information in the vehicle to the target contact person in real time; if the target protection mechanism is the active protection mechanism, when the risk alarm signal is detected, sending an alarm and the vehicle trajectory information to the target contact person according to a triggering instruction of the user. The monitoring module is further configured to: acquire real-time driving video of the designated driver; determine an emotional state of the designated driver according to the real-time driving video, and determine whether the designated driver has dangerous driving behavior according to the emotional state; if so, generate the risk alarm signal.

4. A vehicle characterized by comprising: The computer program or instructions are executed to implement the monitoring method of the designated driving service according to claim 1 or 2. The computer program or instructions are executed to implement the monitoring method of the designated driving service according to claim 1 or 2.

5. A computer readable storage medium having stored thereon a computer program or instructions, characterized in that, The computer program or instructions are executed to implement the monitoring method of the designated driving service according to claim 1 or 2.

6. A computer program product, comprising: ​

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