CN110956967A - Vehicle control method based on voiceprint recognition and vehicle - Google Patents
Vehicle control method based on voiceprint recognition and vehicle Download PDFInfo
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- G—PHYSICS
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- G10L17/00—Speaker identification or verification
- G10L17/22—Interactive procedures; Man-machine interfaces
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- G—PHYSICS
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- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
Abstract
The application relates to a vehicle control method based on voiceprint recognition and a vehicle, wherein the vehicle control method based on the voiceprint recognition is applied to the vehicle and comprises the following steps: receiving voice information; determining the identity of the current driver according to the voiceprint characteristics of the voice information; performing intention identification of using personalized data according to the voice information, wherein the personalized data comprises in-vehicle setting parameters and/or in-vehicle machine using data; if the intention is successfully identified, obtaining the personal data to be used according to the identification result and the identity; and executing corresponding control operation on the vehicle according to the acquired personality data. Through the mode, the driving individuation setting of the vehicle passenger can be realized based on the voiceprint recognition, and the user experience is optimized.
Description
Technical Field
The application relates to the technical field of vehicles, in particular to a vehicle control method based on voiceprint recognition and a vehicle.
Background
With the development of society and the improvement of living standard of people, automobiles become more and more important transportation tools for people to go out, and before or during driving, passengers usually carry out various personalized settings, such as adjusting the position of a seat, adjusting the position of a rearview mirror, and even listening to a radio station or music which the passengers like to listen to. However, many families only have one vehicle, and the vehicle is often taken by several common passengers, when different passengers take the vehicle, the parameters such as the height of the seat, the angle of the rearview mirror, the temperature of the air conditioner, the size of the air outlet and the like are required to be readjusted, so that the operation is complex, and the user experience is poor.
Disclosure of Invention
An object of the present application is to provide a vehicle control method and a vehicle based on voiceprint recognition, which can solve the above technical problems, and can realize personalized driving settings of vehicle passengers based on voiceprint recognition, thereby optimizing user experience.
In order to solve the above technical problem, the present application provides a vehicle control method based on voiceprint recognition, including:
receiving voice information;
determining the identity of the current driver according to the voiceprint characteristics of the voice information;
performing intention identification of using personal data according to the voice information, wherein the personal data comprises in-vehicle setting parameters and/or vehicle machine using data;
if the intention is successfully identified, obtaining the personalized data to be used according to the identification result and the identity;
and executing corresponding control operation on the vehicle according to the acquired personality data.
Wherein, the determining the identity of the current driver according to the voiceprint characteristics of the voice message comprises:
extracting voiceprint features of the voice information;
and matching the extracted voiceprint characteristics with the voiceprint models stored in advance to confirm the identity of the current driver, wherein each voiceprint model is correspondingly associated with one identity.
The step of matching the extracted voiceprint features with the voiceprint model stored in advance to confirm the identity of the current driver includes:
comparing the extracted voiceprint features with each of the voiceprint models stored in advance, calculating the similarity between the voiceprint features and each of the voiceprint models,
determining a voiceprint model corresponding to the voiceprint characteristics according to the calculation result;
and acquiring the identity mark associated with the determined voiceprint model as the identity mark of the current driver.
Wherein the performing of the intention recognition using personality data according to the voice information includes:
recognizing text content of the voice information;
inputting the text content into a preset intention recognition model for intention recognition by using personal data;
acquiring an output result of the intention recognition model;
and if the output result contains at least one name of the sexual data, successfully identifying the intention by using the personal data.
If the intention recognition is successful, obtaining the personalized data to be used according to the recognition result and the identity, wherein the method comprises the following steps:
acquiring the name of the individual data contained in the output result;
and if the personal data associated with the identity identifier contains preset personal data corresponding to the name of the personal data, acquiring the preset personal data as the personal data to be used.
If the intention recognition is successful, obtaining the personalized data to be used according to the recognition result and the identity, and further comprising:
and if the personal data associated with the identity identifier does not contain preset personal data corresponding to the name of the personal data, acquiring recommended personal data corresponding to the name of the personal data in the personal data associated with the identity identifier as the personal data to be used.
Wherein, before receiving the voice information, the method further comprises:
obtaining corpus data associated with an intent to use personality data;
and training a neural network model as the preset intention recognition model according to the corpus data.
After the corresponding control operation is executed on the vehicle according to the acquired personality data, the method further comprises the following steps:
monitoring the modification operation of the current driver on the in-vehicle set parameters and/or the vehicle machine use data;
and when the current driver leaves the vehicle, updating the corresponding personality data according to the result of the modification operation.
The vehicle-mounted intelligent reminding system comprises a vehicle, a vehicle-mounted intelligent reminding device and a vehicle-mounted intelligent reminding device, wherein the vehicle-mounted parameter comprises at least one of seat parameters, rearview mirror parameters, air conditioner parameters, air outlet parameters, perfume types and atmosphere colors, and the vehicle-mounted intelligent reminding device uses data comprising at least one of a display interface, a music list, a radio station list, historical records, preference data, intelligent reminding and account information.
The present application further provides a vehicle comprising a memory storing at least one program instruction and a processor implementing the voiceprint recognition based vehicle control method as described above by loading and executing the at least one program instruction.
According to the vehicle control method and the vehicle based on voiceprint recognition, when voice information is received, the identity of the current driver is determined according to voiceprint features of the voice information, the intention recognition of using the personal data is carried out according to the voice information, the personal data comprise in-vehicle setting parameters and/or vehicle machine using data, if the intention recognition is successful, the personal data to be used are obtained according to the recognition result and the identity, and corresponding control operation is carried out on the vehicle according to the obtained personal data. Through the mode, the driving individuation setting of the vehicle passenger can be realized based on the voiceprint recognition, and the user experience is optimized.
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 diagram illustrating a method for vehicle control based on voiceprint recognition in accordance with an exemplary embodiment.
FIG. 2 is a schematic diagram of a vehicle according to an exemplary embodiment.
Detailed Description
To further illustrate the technical means and effects of the present application for achieving the intended application purpose, the following detailed description is provided with reference to the accompanying drawings and preferred embodiments for describing the embodiments, methods, steps, structures, features and effects of the vehicle control method based on voiceprint recognition and the vehicle according to the present application.
The foregoing and other technical matters, features and effects of the present application will be apparent from the following detailed description of preferred embodiments, which is to be read in connection with the accompanying drawings. While the present application is susceptible to embodiment and specific details, specific reference will now be made in detail to the present disclosure for the purpose of illustrating the general principles of the invention.
FIG. 1 is a schematic flow diagram illustrating a method for vehicle control based on voiceprint recognition in accordance with an exemplary embodiment. Referring to fig. 1, the vehicle control method based on voiceprint recognition of the present embodiment includes:
When a driver opens a vehicle door to get on the vehicle, the vehicle is triggered to receive voice information through an opening signal of the vehicle door or a sensing signal of a seat, for example, the vehicle-mounted voice assistant is opened, optionally, the driver can also trigger the vehicle to receive the voice information through a button on the vehicle and a specific gesture, at this time, the vehicle starts to receive and process the voice information, the voice information can be an instruction containing a specific command word, for example, "use my seat", "use all", or the voice information can also be context content of multi-round voice interaction of the driver and the vehicle-mounted voice assistant, for example, the vehicle-mounted voice assistant says "detect that a current song list is not a song list of your song when the driver manually opens music, and whether switching is needed or not", the driver says "temporarily not use" and says "switch bars after listening to a few songs. In addition, when the vehicle is triggered to receive the voice information in the form of buttons, gestures and sentences with specific contents, the driver can select whether the personalized setting is performed or not in the current driving according to actual needs, that is, the driver can select whether the buttons, the gestures or the sentences with the specific contents are triggered or not according to the actual needs, so that whether the personalized setting is performed or not in the vehicle is controlled.
And step 120, determining the identity of the current driver according to the voiceprint characteristics of the voice information.
The Voiceprint (Voiceprint) is a sound wave frequency spectrum which is displayed by an electro-acoustic instrument and carries speech information, has the characteristics of specificity and relative stability, can be used as the authentication information of the driving personality, can accurately identify the identity of a driver so as to improve the accuracy and convenience of personality setting, and reduces the influence of the setting process on driving. The id is used to distinguish different driver identities, for example, the id "driver 1" and the id "driver 2" correspond to different drivers, and it should be understood that the number is only used to distinguish different drivers, and is not specifically limited to characters such as numbers and english.
In one embodiment, determining the identity of the current driver based on the voiceprint characteristics of the voice message comprises:
extracting voiceprint characteristics of the voice information;
and matching the extracted voiceprint characteristics with the voiceprint models stored in advance to confirm the identity of the current driver, wherein each voiceprint model is correspondingly associated with one identity.
In one embodiment, matching the extracted voiceprint features with a pre-stored voiceprint model to confirm the identity of the current driver includes:
comparing the extracted voiceprint features with each of the voiceprint models stored in advance, calculating the similarity between the voiceprint features and each of the voiceprint models,
determining a voiceprint model corresponding to the voiceprint characteristics according to the calculation result;
and acquiring the identity mark associated with the determined voiceprint model as the identity mark of the current driver.
The vehicle is stored with a voiceprint model in advance, the voiceprint model is obtained by collecting voice training data corresponding to a driver to conduct model training and is stored in association with the identity of the driver, one or more voiceprint models can be stored in the vehicle in advance as one vehicle possibly corresponds to different drivers, different driving identities are distinguished according to the voiceprint models, and then the voiceprint models correspond to the individual data of different drivers. And when the voiceprint features are not matched with the voiceprint models, the driver can not set the identity of the driver in a personalized way.
And step 130, performing intention identification of using personalized data according to the voice information, wherein the personalized data comprises in-vehicle setting parameters and/or in-vehicle using data.
Wherein, the parameters arranged in the vehicle comprise at least one of seat parameters, rearview mirror parameters, air conditioning parameters, air outlet parameters, perfume types (men/women) and atmosphere colors (light colors and working modes). The vehicle machine is a vehicle-mounted information entertainment product installed in a vehicle for short, CAN be used for realizing information communication between a person and a vehicle and between the vehicle and the outside (between the vehicle and the vehicle), the existing vehicle machine develops from early CD and DVD navigation to intellectualization and informatization, CAN have 3G and Telematics (vehicle-mounted information service) functions besides basic radio, music video playing and navigation functions, CAN be combined with the CAN-BUS technology of the vehicle to realize the information communication between the person and the vehicle and between the vehicle and the outside, so that a driver CAN remotely control the vehicle through the Internet and even directly finish financial functions such as shopping, payment and the like through the vehicle, and the use data of the vehicle machine comprises at least one of a display interface, a music list, a radio station list, historical records, preference data, intelligent reminding and account information.
In one embodiment, the intention recognition using personality data according to voice information includes:
recognizing text content of the voice information;
inputting the text content into a preset intention recognition model for intention recognition by using the personal data;
acquiring an output result of the intention recognition model;
and if the output result contains at least one name of the sexual data, successfully identifying the intention by using the personal data.
In one embodiment, before receiving the voice information, the method further includes:
obtaining corpus data associated with an intent to use personality data;
and training a neural network model as a preset intention recognition model according to the corpus data.
The intention using the personality data refers to the intention/purpose that a user wants to use certain personality data, the personality data which the user wants to use can be effectively known by performing intention identification on received voice information, the intention identification can be performed in the manners of word list exhaustion, rule analysis, semantic analysis, machine learning and the like, wherein the word list exhaustion acquires the intention in the manner of direct word list matching, for example, the ' using ' in my seat ' can be matched to ' switching ' in the word list, so that the intention of ' switching seats ' is identified, the rule analysis and the voice analysis are suitable for the voice information of which the expression manner is more consistent with a specific statement rule, so that the intention can be acquired in the manner of analysis, for example, the expression manner of ' switching to my song list ' is more consistent with the specific statement rule, and the intention of ' switching song list ' can be identified through the rule analysis or the semantic analysis, machine learning can obtain a neural network model as a classifier by deep learning a large amount of linguistic data, such as a long-short term memory network (LSTM) and a Convolutional Neural Network (CNN), for received voice information, the probability of each intention can be calculated according to a model obtained by training, and whether the intention uses personal data is judged, so that a preset intention recognition model can be obtained by constructing a word list, rules and the neural network, and in actual implementation, intention recognition can be carried out by combining one, two or more modes so as to improve the accuracy.
Before performing intent recognition using the personality data by using the intent recognition model, the vehicle recognizes the received voice information to obtain corresponding text content, and then uses the obtained text content as an input of the intent recognition model to further obtain an output result of the intent recognition model.
And 140, if the intention is successfully identified, acquiring the personal data to be used according to the identification result and the identity.
In one embodiment, if the intention recognition is successful, obtaining the personality data to be used according to the recognition result and the identity, including:
acquiring the name of the individual data contained in the output result;
and if the personal data associated with the identity identifier contains preset personal data corresponding to the name of the personal data, acquiring the preset personal data as the personal data to be used.
In one embodiment, if the intention recognition is successful, obtaining the personality data to be used according to the recognition result and the identity, further comprising:
and if the personal data associated with the identity does not contain the preset personal data corresponding to the name of the personal data, acquiring recommended personal data corresponding to the name of the personal data in the personal data associated with the identity as the personal data to be used.
The preset personal data is personal data preset by a user or historical use data automatically recorded by a vehicle, the to-be-recommended personal data is preference data which is obtained by carrying out statistical analysis on the cloud server according to the use data of the vehicle and drivers of other vehicles and is associated with each driver of the vehicle, and when the user does not use a certain vehicle function/vehicle-mounted device and does not generate related data, the name of the personal data corresponding to the vehicle function/vehicle-mounted device can correspondingly store the recommended personal data. Thus, even if the driver starts a certain vehicle function/vehicle-mounted device for the first time, the complicated operation can be avoided as much as possible.
And 150, executing corresponding control operation on the vehicle according to the acquired personality data.
After the identity of the current driver is determined, the personal data corresponding to the name of the personal data can be obtained from the personal data corresponding to the identity to adjust the vehicle, such as seat and rearview mirror adjustment, and the set parameters and the vehicle use data in other vehicles are not changed. When the personal data contain the vehicle-mounted device use data, the vehicle networking service of multiple people and multiple faces can be provided for different drivers according to the vehicle-mounted device use data, for example, radio station recommendation, music recommendation and path recommendation are performed according to preference data corresponding to the current driver, consumption payment is performed according to account information of the current driver, related prompts are performed according to an intelligent reminding mode corresponding to the current driver, and the like, so that the vehicle networking service can be adjusted according to the change of the current driver, and is more intelligent and humanized.
In one embodiment, after performing the corresponding control operation on the vehicle according to the acquired personality data, the method further includes:
monitoring the modification operation of a current driver on the in-vehicle set parameters and/or the vehicle machine use data;
and when the current driver leaves the vehicle, updating the corresponding personality data according to the result of the modification operation.
After the personalized setting is performed, the vehicle (for example, through a vehicle machine or a TBOX) can continuously monitor the modification operation of the current driver on the in-vehicle setting parameters and/or the in-vehicle use data, and if the current driver modifies the in-vehicle setting parameters and/or the in-vehicle use data corresponding to the current driver during the current riding, for example, the seat height, the backrest angle, the air conditioning temperature, the air outlet size, the air outlet direction, the favorite music, the radio station or the interest points added for collection are adjusted, the vehicle can track the changes of the data in real time and automatically store the data when the current driver leaves the vehicle, so that the driver can automatically perform the personalized setting when the driver takes the next riding.
According to the vehicle control method based on voiceprint recognition, when voice information is received, the identity of the current driver is determined according to voiceprint characteristics of the voice information, intention recognition of using personal data is conducted according to the voice information, the personal data comprise in-vehicle setting parameters and/or vehicle machine using data, if the intention recognition is successful, the personal data to be used are obtained according to a recognition result and the identity, and corresponding control operation is conducted on the vehicle according to the obtained personal data. Through the mode, the driving individuation setting of the vehicle passenger can be realized based on the voiceprint recognition, and the user experience is optimized.
The application also provides a vehicle, which comprises a memory and a processor, wherein the memory stores at least one program instruction, and the processor realizes the vehicle control method based on voiceprint recognition by loading and executing the at least one program instruction.
FIG. 2 is a schematic diagram of a vehicle according to an exemplary embodiment. Referring to fig. 2, the present application further provides a vehicle, including a memory 210 and a processor 220, where the memory 210 stores at least one program instruction, and the processor 220 implements the following method by loading and executing the at least one program instruction:
receiving voice information;
determining the identity of the current driver according to the voiceprint characteristics of the voice information;
performing intention identification of using personalized data according to the voice information, wherein the personalized data comprises in-vehicle setting parameters and/or in-vehicle machine using data;
if the intention is successfully identified, obtaining the personal data to be used according to the identification result and the identity;
and executing corresponding control operation on the vehicle according to the acquired personality data.
In one embodiment, processor 220 performs the determining the identity of the current driver based on the voiceprint characteristics of the voice message, including:
extracting voiceprint characteristics of the voice information;
and matching the extracted voiceprint characteristics with the voiceprint models stored in advance to confirm the identity of the current driver, wherein each voiceprint model is correspondingly associated with one identity.
In one embodiment, the processor 220 performs matching of the extracted voiceprint features with a pre-saved voiceprint model to confirm the identity of the current driver, including:
comparing the extracted voiceprint features with each of the voiceprint models stored in advance, calculating the similarity between the voiceprint features and each of the voiceprint models,
determining a voiceprint model corresponding to the voiceprint characteristics according to the calculation result;
and acquiring the identity mark associated with the determined voiceprint model as the identity mark of the current driver.
In one embodiment, the processor 220 performs intent recognition using personality data based on voice information, including:
recognizing text content of the voice information;
inputting the text content into a preset intention recognition model for intention recognition by using the personal data;
acquiring an output result of the intention recognition model;
and if the output result contains at least one name of the sexual data, successfully identifying the intention by using the personal data.
In one embodiment, the processor 220 performs, if the intention recognition is successful, acquiring the personality data to be used according to the recognition result and the identity, including:
acquiring the name of the individual data contained in the output result;
and if the personal data associated with the identity identifier contains preset personal data corresponding to the name of the personal data, acquiring the preset personal data as the personal data to be used.
In one embodiment, the processor 220 performs, if the intention recognition is successful, acquiring the personality data to be used according to the recognition result and the identity, further including:
and if the personal data associated with the identity does not contain the preset personal data corresponding to the name of the personal data, acquiring recommended personal data corresponding to the name of the personal data in the personal data associated with the identity as the personal data to be used.
In one embodiment, before the processor 220 receives the voice message, the following steps are further performed:
obtaining corpus data associated with an intent to use personality data;
and training a neural network model as a preset intention recognition model according to the corpus data.
In one embodiment, after the processor 220 performs the corresponding control operation on the vehicle according to the acquired personality data, the following steps are further performed:
monitoring the modification operation of a current driver on the in-vehicle set parameters and/or the vehicle machine use data;
and when the current driver leaves the vehicle, updating the corresponding personality data according to the result of the modification operation.
In an embodiment, the in-vehicle setting parameters comprise at least one of seat parameters, rearview mirror parameters, air conditioner parameters, air outlet parameters, perfume types and atmosphere colors, and the in-vehicle use data comprise at least one of a display interface, a music list, a radio station list, a history record, preference data, an intelligent reminder and account information.
For the specific steps and processes of the processor 220 in the vehicle calling the executable program code in the memory 210, please refer to the specific contents described in the embodiment shown in fig. 1, which are not described herein again.
According to the vehicle, when voice information is received, the identity of the current driver is determined according to the voiceprint characteristics of the voice information, the intention identification of using the personal data is carried out according to the voice information, the personal data comprise vehicle set parameters and/or vehicle machine using data, if the intention identification is successful, the personal data to be used are obtained according to the identification result and the identity, and corresponding control operation is carried out on the vehicle according to the obtained personal data. Through the mode, the driving individuation setting of the vehicle passenger can be realized based on the voiceprint recognition, and the user experience is optimized.
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 vehicle control method based on voiceprint recognition is characterized by comprising the following steps:
receiving voice information;
determining the identity of the current driver according to the voiceprint characteristics of the voice information;
performing intention identification of using personal data according to the voice information, wherein the personal data comprises in-vehicle setting parameters and/or vehicle machine using data;
if the intention is successfully identified, obtaining the personalized data to be used according to the identification result and the identity;
and executing corresponding control operation on the vehicle according to the acquired personality data.
2. The vehicle control method based on the voiceprint recognition according to claim 1, wherein the determining the identity of the current driver according to the voiceprint characteristics of the voice information comprises:
extracting voiceprint features of the voice information;
and matching the extracted voiceprint characteristics with the voiceprint models stored in advance to confirm the identity of the current driver, wherein each voiceprint model is correspondingly associated with one identity.
3. The vehicle control method based on voiceprint recognition according to claim 2, wherein the matching the extracted voiceprint features with a pre-saved voiceprint model to confirm the identity of the current driver comprises:
comparing the extracted voiceprint features with each of the voiceprint models stored in advance, calculating the similarity between the voiceprint features and each of the voiceprint models,
determining a voiceprint model corresponding to the voiceprint characteristics according to the calculation result;
and acquiring the identity mark associated with the determined voiceprint model as the identity mark of the current driver.
4. The voiceprint recognition based vehicle control method according to claim 1, wherein the performing of the intention recognition using personality data according to the voice information includes:
recognizing text content of the voice information;
inputting the text content into a preset intention recognition model for intention recognition by using personal data;
acquiring an output result of the intention recognition model;
and if the output result contains at least one name of the sexual data, successfully identifying the intention by using the personal data.
5. The vehicle control method based on voiceprint recognition according to claim 4, wherein if the intention recognition is successful, obtaining the personality data to be used according to the recognition result and the identity, comprises:
acquiring the name of the individual data contained in the output result;
and if the personal data associated with the identity identifier contains preset personal data corresponding to the name of the personal data, acquiring the preset personal data as the personal data to be used.
6. The vehicle control method based on voiceprint recognition according to claim 5, wherein if the intention recognition is successful, the personality data to be used is obtained according to the recognition result and the identity, and the method further comprises:
and if the personal data associated with the identity identifier does not contain preset personal data corresponding to the name of the personal data, acquiring recommended personal data corresponding to the name of the personal data in the personal data associated with the identity identifier as the personal data to be used.
7. The voiceprint recognition based vehicle control method according to claim 4, wherein before the receiving the voice information, the method further comprises:
obtaining corpus data associated with an intent to use personality data;
and training a neural network model as the preset intention recognition model according to the corpus data.
8. The voiceprint recognition based vehicle control method according to any one of claims 1 to 7, wherein after the corresponding control operation is performed on the vehicle according to the acquired personality data, the method further comprises:
monitoring the modification operation of the current driver on the in-vehicle set parameters and/or the vehicle machine use data;
and when the current driver leaves the vehicle, updating the corresponding personality data according to the result of the modification operation.
9. The vehicle control method based on the voiceprint recognition, according to claim 1, wherein the in-vehicle setting parameters comprise at least one of seat parameters, rearview mirror parameters, air conditioning parameters, air outlet parameters, perfume types and atmosphere colors, and the in-vehicle usage data comprises at least one of display interfaces, music lists, radio station lists, historical records, preference data, intelligent reminders and account information.
10. A vehicle comprising a memory storing at least one program instruction and a processor implementing the voiceprint recognition based vehicle control method of any one of claims 1 to 9 by loading and executing the at least one program instruction.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111696548A (en) * | 2020-05-13 | 2020-09-22 | 深圳追一科技有限公司 | Method and device for displaying driving prompt information, electronic equipment and storage medium |
| CN113038420A (en) * | 2021-03-03 | 2021-06-25 | 恒大新能源汽车投资控股集团有限公司 | Service method and device based on Internet of vehicles |
| CN114684047A (en) * | 2022-04-18 | 2022-07-01 | 润芯微科技(江苏)有限公司 | Method for identifying driver identity and configuring cockpit parameters through voice |
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