CN-121973714-A - In-vehicle atmosphere adjusting method and system

CN121973714ACN 121973714 ACN121973714 ACN 121973714ACN-121973714-A

Abstract

The invention provides a method and a system for regulating atmosphere in a vehicle, which belong to the technical field of intelligent automobiles, and the method comprises the steps of acquiring vehicle exterior driving state data, vehicle interior environment data and vehicle navigation information related to the emotion of a driver; and matching the emotion pressure index of the driver with a preset atmosphere adjustment strategy mapping library to generate an atmosphere execution instruction, and adjusting the atmosphere in the vehicle according to the atmosphere execution instruction. According to the invention, the fusion analysis is carried out on various data sources such as the road conditions outside the vehicle, the voice emotion, the navigation information and the like, so that misjudgment possibly caused by a single information source is avoided, the true emotion state of a driver can be more accurately mastered by calculating the comprehensive emotion pressure index, the most appropriate and effective regulation measures are triggered according to the true emotion state, and the intelligence and the user acceptance of the system are improved.

Inventors

ZHANG JINQIANG
Kang Houqin
WU WANPING
LIU HAO
WANG HUIJIE

Assignees

东风汽车集团股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260205

Claims (10)

1. An in-vehicle atmosphere adjustment method, comprising: acquiring out-of-vehicle driving state data, in-vehicle environment data and vehicle navigation information related to the emotion of a driver; calculating the emotion pressure index of the driver in real time according to the driving state data outside the vehicle, the environment data inside the vehicle and the vehicle navigation information; and matching the emotion pressure index of the driver with a preset atmosphere adjustment strategy mapping library, generating an atmosphere execution instruction, and adjusting the atmosphere in the vehicle according to the atmosphere execution instruction.
2. The method of claim 1, wherein the off-board travel state data comprises unnormalized travel vehicle detection data, traffic flow density analysis data, and special event detection data; the in-vehicle environment data comprise audio emotion analysis data; The vehicle navigation information comprises estimated arrival time, residual distance, real-time road condition and estimated congestion duration.
3. The method according to claim 1 or 2, wherein the vehicle exterior driving state data is obtained by using a front camera, a look-around camera and/or a millimeter wave radar existing in the vehicle, monitoring traffic conditions outside the vehicle in real time, and through built-in image recognition and data analysis algorithms; The audio emotion analysis data is characterized in that voice signals are continuously collected by utilizing an in-car microphone array, keywords in voice are analyzed to recognize negative expressions by utilizing natural language processing and emotion calculation algorithm, and the intonation, the speed and the volume of the voice are analyzed to recognize anger emotion or anxiety emotion; the vehicle interior environment data also comprises driver physiological state data, wherein the driver physiological state data is obtained through monitoring by a driver state monitoring camera and/or a sensor on a steering wheel, and the driver physiological state data comprises at least one of heart rate, facial muscle tension degree and blink frequency.
4. The method according to claim 1 or 2, wherein the step of calculating the driver emotion pressure index in real time from the outside running state data, the in-vehicle environment data, and the vehicle navigation information comprises: respectively distributing a weight coefficient for each piece of outside driving state data, in-vehicle environment data and vehicle navigation information; and (3) comprehensively calculating the quantized emotion pressure index of the driver through a preset algorithm model.
5. The method according to claim 4, wherein the step of matching the driver emotion pressure index with a preset atmosphere adjustment strategy map library to generate an atmosphere execution instruction, and adjusting the atmosphere in the vehicle according to the atmosphere execution instruction comprises: Pre-storing or user-defining the preset atmosphere adjustment strategy mapping library; matching the emotion pressure index of the driver with the preset atmosphere adjustment strategy mapping library to obtain an atmosphere execution instruction; and performing intervention and adjustment on the physical environment in the vehicle according to the atmosphere execution instruction.
6. The method of claim 5, wherein the atmosphere control policy mapping library comprises: when the pressure index is low, at least one of the following strategies is adopted, namely, the soft light music is played, and the temperature of the air conditioner is slightly lowered; when the pressure index is medium, at least one of the following strategies is adopted, namely, a soft massage function of the seat is started, elegant refreshing fragrance is released, and a medium control screen interface is switched to a concise and dark theme; when the pressure index is high, at least one of the following strategies is adopted, namely, the window glass is adjusted, the music volume is increased to moderately cover the quarrying sound, and the voice assistant intervenes mildly.
7. The method of claim 5, wherein the intervening and adjusting the in-vehicle physical environment comprises at least one of: A vehicle infotainment system control, wherein the vehicle infotainment system control comprises selecting and playing a particular type of music, podcast or audio reading, adjusting at least one of the volume; The control of the in-vehicle environment control system comprises controlling the temperature and the air quantity of an air conditioner and controlling the advanced fragrance system to release at least one of fragrances with different odors; a seat system control, wherein the seat system control includes activating a plurality of modes of massage of the operator's seat or the full seat, activating ventilation, activating at least one of heating; A passenger compartment lighting system control, wherein the passenger compartment lighting system control includes adjusting at least one of a color, a brightness, and a blinking pattern of an in-vehicle mood light; Window and sunroof control, wherein the window and sunroof control includes closing a window when ambient noise is excessive; And the man-machine interaction interface control comprises at least one of changing the display theme of the central control large screen and reducing information overload.
8. An in-vehicle atmosphere conditioning system configured to enable the method according to any one of claims 1 to 7, the system comprising: The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring out-of-vehicle running state data, in-vehicle environment data and vehicle navigation information related to the emotion of a driver; The calculation module is used for calculating the emotion pressure index of the driver in real time according to the out-vehicle running state data, the in-vehicle environment data and the vehicle navigation information; And the adjusting module is used for matching the emotion pressure index of the driver with a preset atmosphere adjusting strategy mapping library, generating an atmosphere executing instruction and adjusting the atmosphere in the vehicle according to the atmosphere executing instruction.
9. An electronic device, comprising: One or more processors; A memory for storing one or more programs; when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1 to 7.
10. A computer readable medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the steps of the method according to any of claims 1 to 7.

Description

In-vehicle atmosphere adjusting method and system Technical Field The invention relates to the technical field of intelligent automobiles, in particular to a method and a system for adjusting atmosphere in an automobile. Background As the amount of vehicle maintenance continues to increase, traffic congestion on urban and rural roads has become normal, especially during the morning and evening peaks and holidays. In a congested traffic environment, a driver not only needs to cope with complex road conditions (such as congestion of other vehicles and frequent start and stop), but also may face complaints or quarrelines caused by delays and annoyances of passengers in the vehicle. These internal and external negative factors can significantly increase psychological stress and mental burden on the driver, resulting in undesirable moods such as anxiety, dysphoria, etc. Bad emotion of the driver can directly damage driving behaviors of the driver, such as inattention, slow response, decision errors and even aggressive driving behaviors, and seriously threatens driving safety. Most of the existing vehicle systems focus on mechanical performance or passive entertainment functions (such as manually starting music) of the vehicle, lack active and intelligent perception of emotional states of a driver and passengers, and cannot automatically and timely intervene to adjust atmosphere in the vehicle when a negative driving environment is identified. Disclosure of Invention The invention aims to solve at least one of the problems in the prior art, and provides an in-vehicle atmosphere adjusting scheme which can actively and intelligently adjust the in-vehicle atmosphere on the basis by sensing the in-vehicle and out-vehicle driving environments affecting the emotion of a driver accurately in real time so as to effectively relieve the pressure and negative emotion of the driver and improve the driving concentration and stability of the driver, thereby ensuring driving safety and improving driving experience. In a first aspect, an embodiment of the present invention provides a method for adjusting an in-vehicle atmosphere, including: acquiring out-of-vehicle driving state data, in-vehicle environment data and vehicle navigation information related to the emotion of a driver; calculating the emotion pressure index of the driver in real time according to the driving state data outside the vehicle, the environment data inside the vehicle and the vehicle navigation information; and matching the emotion pressure index of the driver with a preset atmosphere adjustment strategy mapping library, generating an atmosphere execution instruction, and adjusting the atmosphere in the vehicle according to the atmosphere execution instruction. In a preferred embodiment, the off-vehicle driving status data includes unnormalized driving vehicle detection data, traffic flow density analysis data, and special event detection data; the in-vehicle environment data comprise audio emotion analysis data; The vehicle navigation information comprises estimated arrival time, residual distance, real-time road condition and estimated congestion duration. In a preferred embodiment, the vehicle exterior driving state data is obtained by utilizing a front camera, a surrounding camera and/or a millimeter wave radar which are/is available for the vehicle, monitoring the traffic condition outside the vehicle in real time and through built-in image recognition and data analysis algorithm; The audio emotion analysis data is characterized in that voice signals are continuously collected by utilizing an in-car microphone array, keywords in voice are analyzed to recognize negative expressions by utilizing natural language processing and emotion calculation algorithm, and the intonation, the speed and the volume of the voice are analyzed to recognize anger emotion or anxiety emotion; the vehicle interior environment data also comprises driver physiological state data, wherein the driver physiological state data is obtained through monitoring by a driver state monitoring camera and/or a sensor on a steering wheel, and the driver physiological state data comprises at least one of heart rate, facial muscle tension degree and blink frequency. In a preferred embodiment, the step of calculating the emotion pressure index of the driver in real time according to the outside driving state data, the in-vehicle environment data and the vehicle navigation information includes: respectively distributing a weight coefficient for each piece of outside driving state data, in-vehicle environment data and vehicle navigation information; and (3) comprehensively calculating the quantized emotion pressure index of the driver through a preset algorithm model. In a preferred embodiment, the step of matching the emotion pressure index of the driver with a preset atmosphere adjustment strategy mapping library to generate an atmosphere execution instruction, and adjusting the atmosphere i