WO2018103238A1 - Procédé et dispositif de réglage automatique d'environnement intra-véhicule - Google Patents

Procédé et dispositif de réglage automatique d'environnement intra-véhicule Download PDF

Info

Publication number
WO2018103238A1
WO2018103238A1 PCT/CN2017/078546 CN2017078546W WO2018103238A1 WO 2018103238 A1 WO2018103238 A1 WO 2018103238A1 CN 2017078546 W CN2017078546 W CN 2017078546W WO 2018103238 A1 WO2018103238 A1 WO 2018103238A1
Authority
WO
WIPO (PCT)
Prior art keywords
vehicle
driver
scene mode
environment
setting
Prior art date
Application number
PCT/CN2017/078546
Other languages
English (en)
Chinese (zh)
Inventor
刘均
宋朝忠
Original Assignee
深圳市元征科技股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市元征科技股份有限公司 filed Critical 深圳市元征科技股份有限公司
Publication of WO2018103238A1 publication Critical patent/WO2018103238A1/fr

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/037Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for occupant comfort, e.g. for automatic adjustment of appliances according to personal settings, e.g. seats, mirrors, steering wheel

Definitions

  • the present invention relates to the field of vehicle monitoring technologies, and in particular, to a method and an apparatus for automatically adjusting an interior environment of a vehicle.
  • the adjustment of the interior environment is mainly manually adjusted by the owner himself.
  • this adjustment method allows the owner to leave the steering wheel when driving, and the spirit is not concentrated on driving. Caused a car accident.
  • the main object of the present invention is to provide an automatic adjustment method and device for a vehicle interior environment, which aims to realize automatic setting of environmental parameters in a vehicle and improve driving safety of the vehicle.
  • the present invention provides an automatic adjustment method for an interior environment of a vehicle, including:
  • the relevant environmental parameters in the vehicle are automatically adjusted according to the current scene mode and the pre-learned setting habits of the driver's environment parameters in the vehicle.
  • the method before the step of acquiring the current scene mode and the pre-learning setting habits of the driver to the in-vehicle environment parameter, when the driver is driving the vehicle, the method further includes:
  • the driver's setting behavior of the environment parameters in the vehicle is monitored, and the corresponding scene mode is obtained;
  • the in-vehicle environment parameters in the corresponding scene mode are learned, and the driver's setting habits for the environment parameters in the vehicle are obtained.
  • the step of monitoring the setting behavior of the driver's environment parameter in the vehicle and acquiring the corresponding scene mode includes:
  • the identity information includes at least one of the driver's avatar, fingerprint, and iris;
  • the step of learning the in-vehicle environment parameter in the corresponding scene mode according to the driver's setting behavior of the in-vehicle environment parameter, and obtaining the setting habit of the driver to the in-vehicle environment parameter includes:
  • the environmental parameter set by the driver in the vehicle including at least: a driving mode of the vehicle, a temperature parameter of the air conditioner, a sound size of the sound, and/or a Listening to the song as the setting habit of the driver's environment parameters in the vehicle, and acquiring the current corresponding scene mode, setting the driver's setting habits to the environment parameters of the vehicle, the driver's identity information and the corresponding scene mode Associate storage.
  • the scene mode includes at least: a commuting driving time period or an amateur driving time period.
  • the scene mode further includes: a summer mode and a winter mode.
  • the step of acquiring the current scene mode when the driver drives the vehicle, and pre-learning the setting habits of the driver to the in-vehicle environment parameter comprises:
  • the driver's identity information is recognized, the current scene mode is acquired, and the driver's setting habits for the in-vehicle environment parameters are learned in advance;
  • the step of automatically adjusting related environmental parameters in the vehicle according to the current scene mode and the pre-learned setting habit of the driver to the in-vehicle environment parameter includes:
  • the embodiment of the invention further provides an automatic adjustment device for the interior environment of the vehicle, comprising:
  • a custom data acquisition module configured to acquire a current scene mode when the driver is driving the vehicle, and pre-learn the driver's setting habits for the environment parameter in the vehicle;
  • an adjustment module configured to automatically adjust related environmental parameters in the vehicle according to the current scene mode and the pre-learned setting habit of the driver to the in-vehicle environment parameter.
  • the device further includes:
  • a monitoring module configured to monitor a driver's setting behavior of an environment parameter in the vehicle during a driving period, and obtain a corresponding scene mode
  • the learning module is configured to learn the in-vehicle environment parameters in the corresponding scene mode according to the driver's setting behavior of the in-vehicle environment parameter, and obtain the setting habit of the driver to the in-vehicle environment parameter.
  • the monitoring module is further configured to identify, in a preset period, the current driver's identity information during the driving process of the vehicle; the identity information includes at least one of a driver's avatar, a fingerprint, and an iris. Monitoring the driver's setting behavior of the environment parameters in the vehicle and obtaining the corresponding scene mode;
  • the learning module is further configured to acquire, according to the setting behavior of the driver's environment parameter in the vehicle, the environmental parameter set by the driver in the vehicle, where the environmental parameter includes at least: a driving mode of the vehicle, a parameter of the air conditioning temperature, The sound size of the sound and/or the song that is often heard, as the setting habit of the driver's environment parameters in the vehicle, and acquiring the current corresponding scene mode, setting the driver's habit of setting the environment parameters of the vehicle, the driver The identity information is stored in association with the corresponding scene mode.
  • the scene mode includes at least: a commuting driving time period or an amateur driving time period.
  • the scene mode further includes: a summer mode and a winter mode.
  • the custom data acquiring module is further configured to: when detecting that the driver drives the vehicle, identify the driver's identity information, acquire the current scene mode, and pre-learn the driver's setting of the in-vehicle environment parameter. habit;
  • the adjustment module is further configured to search, according to the current scene mode and the identity information of the driver, the pre-learned driver-to-vehicle environment parameter associated with the current scene mode and the driver's identity information.
  • the setting habits are to obtain the interior environment parameters that the driver is accustomed to set in the current scene mode, and automatically adjust the relevant environmental parameters in the vehicle according to the interior environment parameters set by the driver.
  • the method and device for automatically adjusting the interior environment of the vehicle provided by the present invention, when the driver is driving the vehicle, acquiring the current scene mode, and pre-learning the driver's setting habits for the environment parameters in the vehicle;
  • the scene mode, and the pre-learned setting habits of the driver's environment parameters in the vehicle automatically adjust relevant environmental parameters in the vehicle, thereby setting a learning unit or a learning module in the vehicle, according to the driver's habit Learning in the car environment, when the driver drives the vehicle, according to different scenarios, the internal environment parameters are automatically set or adjusted to make the driver drive safer.
  • FIG. 1 is a schematic flow chart of a first embodiment of an automatic adjustment method for a vehicle interior according to the present invention
  • FIG. 2 is a schematic flow chart of a second embodiment of an automatic adjustment method for a vehicle interior according to the present invention
  • FIG. 3 is a schematic diagram of functional modules of a first embodiment of an automatic adjustment device for a vehicle interior according to the present invention
  • FIG. 4 is a schematic diagram of functional modules of a second embodiment of an automatic adjustment device for a vehicle interior according to the present invention.
  • the main solution of the embodiment of the present invention is: acquiring the current scene mode when the driver drives the vehicle, and pre-learning the driver's setting habits for the interior environment parameter; according to the current scene mode, and the advance
  • the learned driver's setting habits for the internal environment parameters of the vehicle automatically adjust the relevant environmental parameters in the vehicle.
  • a learning unit or a learning module can be set in the vehicle to learn the environment of the vehicle according to the driver's habits.
  • the vehicle interior environment parameters are automatically set according to different scenarios, so that the driver is safer to drive.
  • the invention provides a solution, which can realize automatic setting of environmental parameters in the vehicle and improve driving safety of the vehicle.
  • a first embodiment of the present invention provides a method for automatically adjusting an environment in a vehicle, including:
  • Step S101 Acquire a current scene mode when the driver is driving the vehicle, and pre-learn the setting habit of the driver to the environment parameter in the vehicle;
  • the solution of the embodiment mainly solves the automatic setting of the environmental parameters in the vehicle to improve the driving safety of the vehicle.
  • the execution body of the method in this embodiment may be an in-vehicle terminal or an on-board unit, or may be a user-handheld device (such as a mobile terminal such as a mobile phone or a tablet computer), or may be a network server or a cloud server. In addition, it can also be an automatic adjustment device for the interior environment, and the device can be disposed on the terminal or the server.
  • the driver when the driver is monitored to drive the vehicle, the current scene mode is acquired, and the driver's setting habits for the in-vehicle environment parameters are learned in advance.
  • the scene mode can be divided into various types according to the actual situation. Considering that the owner usually drives during the working time period (such as working time and off-duty time), the time is relatively tight, there is not much time to set the internal environment parameters, and the songs are listened to. It may be biased towards radical or soothing (depending on the person), so you can set two scene modes, the commute driving time period and the amateur driving time period.
  • the working time period such as working time and off-duty time
  • the time is relatively tight, there is not much time to set the internal environment parameters, and the songs are listened to. It may be biased towards radical or soothing (depending on the person), so you can set two scene modes, the commute driving time period and the amateur driving time period.
  • the scene mode can also be divided into a summer mode and a winter mode.
  • the corresponding learning is performed, and the setting habit data of the driver's environment parameters in the vehicle is stored, so that the driver can directly set the parameters according to the driver's habits.
  • the setting habit data of the driver's environment parameters in the vehicle is stored, so that the driver can directly set the parameters according to the driver's habits.
  • To set the internal environment parameters to avoid the need to manually adjust the interior parameters in real time after the user starts the vehicle, resulting in a hidden danger of car accidents due to lack of concentration on the driver.
  • a learning unit may be provided in the vehicle, and the driver may perform corresponding learning according to the usage habits of the driver's internal environment parameters, such as the temperature of the air conditioner in the vehicle, the temperature adjustment, the sound volume of the sound, and the listening sound. Broadcast program settings, frequently heard songs, etc., and store learning data corresponding to the driver's identity.
  • the driver's identity information is first identified, the current scene mode is acquired, the current scene mode is determined to belong to the winter mode or the summer mode, or the current scene mode is determined to belong to the commute driving time period.
  • the user's avatar, iris, etc. can be obtained through the in-vehicle camera or the vehicle-mounted terminal or the vehicle-mounted unit, or the user's mobile terminal, and can also be set on the steering wheel or other components in the vehicle.
  • the fingerprint identifier identifies the fingerprint information of the user to obtain the identity information of the user.
  • Step S102 automatically adjusting related environmental parameters in the vehicle according to the current scene mode and the pre-learned setting habits of the driver's environment parameters in the vehicle.
  • the pre-learned setting habits of the driver's environment parameters in the vehicle associated with the current scene mode and the driver identity information may be searched for, and obtained In the current scene mode, the driver is accustomed to setting the in-vehicle environment parameter, and automatically adjusts relevant environmental parameters in the vehicle according to the in-vehicle environment parameter set by the driver.
  • the current scene mode is acquired, and the driver's setting habits for the in-vehicle environment parameters are learned in advance; according to the current scene mode and the pre-learned
  • the driver sets the habit of setting the internal environment parameters of the vehicle, and automatically adjusts the relevant environmental parameters in the vehicle. Therefore, a learning unit can be set in the vehicle, and corresponding learning is performed according to the driver's habits, such as the temperature of the air conditioner in the vehicle. High and low, temperature adjustment, sound sound size, frequent listening broadcast program settings, frequently heard songs, etc.
  • the learning unit recognizes that the driver is driving the vehicle, the learning unit performs the vehicle interior environment according to the past driver's habits. The corresponding automatic adjustment makes the driver's driving more comfortable and safer.
  • a second embodiment of the present invention provides a method for automatically adjusting an in-vehicle environment.
  • step S101 acquiring a current scene mode when the driver is monitored to drive the vehicle.
  • pre-learning the driver's setting habits for the interior environment parameters include:
  • Step S90 During the preset period, during the driving process of the vehicle, monitor the setting behavior of the driver's environment parameters in the vehicle, and obtain a corresponding scene mode;
  • step S100 according to the setting behavior of the driver's environment parameter in the vehicle, the in-vehicle environment parameter in the corresponding scene mode is learned, and the setting habit of the driver to the environment parameter in the vehicle is obtained.
  • the embodiment further includes a solution for obtaining the driver's setting habits for the environment parameters in the vehicle by learning.
  • the identity information of the current driver is identified; the identity information includes at least: a driver's avatar, a fingerprint, an iris, and the like.
  • the environmental parameter set by the driver to the vehicle is obtained, wherein the environmental parameter may include: a driving mode of the vehicle, a temperature parameter of the air conditioner, and a sound size of the sound. And/or a song that is often listened to, as a setting habit of the driver's environment parameters in the vehicle, and acquiring a current corresponding scene mode, setting the driver's setting habits to the environment parameters of the vehicle, and the driver's identity information and The corresponding scene mode is associated with the storage.
  • a learning unit or a learning module is set in the vehicle in advance, and corresponding learning is performed according to the driver's habits, such as the temperature of the air conditioner in the vehicle, the temperature adjustment, the sound volume of the sound, and the listening sound. Broadcast program settings, frequently heard songs, etc.
  • the learning unit recognizes that the driver is driving the vehicle, the learning unit automatically adjusts the interior environment according to the past driver's habits, making the driver more comfortable and safer to drive. .
  • the first embodiment of the present invention provides an automatic environment adjustment device for a vehicle, comprising: a habit data acquisition module 201 and an adjustment module 202, wherein:
  • the habit data acquisition module 201 is configured to acquire a current scene mode when the driver is driving the vehicle, and pre-learn the setting habit of the driver to the in-vehicle environment parameter;
  • the adjustment module 202 is configured to automatically adjust related environmental parameters in the vehicle according to the current scene mode and the driver's setting habits of the in-vehicle environment parameters.
  • the custom data acquisition module is further configured to: when detecting that the driver drives the vehicle, identify the driver's identity information, acquire the current scene mode, and pre-learn the driver's setting habits for the interior environment parameter of the vehicle. ;
  • the adjustment module 202 is further configured to search, according to the current scene mode and the identity information of the driver, the pre-learned driver-to-vehicle environment associated with the current scene mode and the driver's identity information.
  • the setting habit of the parameter obtains the interior environment parameter that the driver is accustomed to set in the current scene mode, and automatically adjusts the relevant environmental parameters in the vehicle according to the interior environment parameter set by the driver.
  • the solution of the embodiment mainly solves the automatic setting of the environmental parameters in the vehicle to improve the driving safety of the vehicle.
  • the automatic environment adjustment device of the vehicle in this embodiment may be disposed on the vehicle-mounted terminal or the vehicle-mounted unit, or may be disposed on the user's handheld device (such as a mobile terminal such as a mobile phone or a tablet computer), and may also be disposed on the network server or the cloud server.
  • the driver when the driver is monitored to drive the vehicle, the current scene mode is acquired, and the driver's setting habits for the in-vehicle environment parameters are learned in advance.
  • the scene mode can be divided into various types according to the actual situation. Considering that the owner usually drives during the working time period (such as working time and off-duty time), the time is relatively tight, there is not much time to set the internal environment parameters, and the songs are listened to. It may be biased towards radical or soothing (depending on the person), so you can set two scene modes, the commute driving time period and the amateur driving time period.
  • the working time period such as working time and off-duty time
  • the time is relatively tight, there is not much time to set the internal environment parameters, and the songs are listened to. It may be biased towards radical or soothing (depending on the person), so you can set two scene modes, the commute driving time period and the amateur driving time period.
  • the scene mode can also be divided into a summer mode and a winter mode.
  • the corresponding learning is performed, and the setting habit data of the driver's environment parameters in the vehicle is stored, so that the driver can directly set the parameters according to the driver's habits.
  • the setting habit data of the driver's environment parameters in the vehicle is stored, so that the driver can directly set the parameters according to the driver's habits.
  • To set the internal environment parameters to avoid the need to manually adjust the interior parameters in real time after the user starts the vehicle, resulting in a hidden danger of car accidents due to lack of concentration on the driver.
  • a learning unit may be provided in the vehicle, and the driver may perform corresponding learning according to the usage habits of the driver's internal environment parameters, such as the temperature of the air conditioner in the vehicle, the temperature adjustment, the sound volume of the sound, and the listening sound. Broadcast program settings, frequently heard songs, etc., and store learning data corresponding to the driver's identity.
  • the driver's identity information is first identified, the current scene mode is acquired, the current scene mode is determined to belong to the winter mode or the summer mode, or the current scene mode is determined to belong to the commute driving time period.
  • the user's avatar, iris, etc. can be obtained through the in-vehicle camera or the vehicle-mounted terminal or the vehicle-mounted unit, or the user's mobile terminal, and can also be set on the steering wheel or other components in the vehicle.
  • the fingerprint identifier identifies the fingerprint information of the user to obtain the identity information of the user.
  • the relevant environmental parameters in the vehicle are automatically adjusted.
  • the pre-learned setting habits of the driver's environment parameters in the vehicle associated with the current scene mode and the driver identity information may be searched for, and obtained In the current scene mode, the driver is accustomed to setting the in-vehicle environment parameter, and automatically adjusts relevant environmental parameters in the vehicle according to the in-vehicle environment parameter set by the driver.
  • the current scene mode is acquired, and the driver's setting habits for the in-vehicle environment parameters are learned in advance; according to the current scene mode and the pre-learned
  • the driver sets the habit of setting the internal environment parameters of the vehicle, and automatically adjusts the relevant environmental parameters in the vehicle. Therefore, a learning unit can be set in the vehicle, and corresponding learning is performed according to the driver's habits, such as the temperature of the air conditioner in the vehicle. High and low, temperature adjustment, sound sound size, frequent listening broadcast program settings, frequently heard songs, etc.
  • the learning unit recognizes that the driver is driving the vehicle, the learning unit performs the vehicle interior environment according to the past driver's habits. The corresponding automatic adjustment makes the driver's driving more comfortable and safer.
  • the second embodiment of the present invention provides an automatic adjustment device for the interior of the vehicle. Based on the embodiment shown in FIG. 3, the device further includes:
  • the monitoring module 203 is configured to monitor a setting behavior of the driver's environment parameter in the vehicle during the driving period of the vehicle, and acquire a corresponding scene mode;
  • the learning module 204 is configured to learn the in-vehicle environment parameters in the corresponding scene mode according to the driver's setting behavior of the in-vehicle environment parameter, and obtain the setting habit of the driver to the in-vehicle environment parameter.
  • the monitoring module 203 is further configured to identify, in a preset period, the current driver's identity information during the driving process of the vehicle; the identity information includes at least one of a driver's avatar, a fingerprint, and an iris. Monitoring the driver's setting behavior of the environment parameters in the vehicle and obtaining the corresponding scene mode;
  • the learning module 204 is further configured to acquire an environmental parameter set by the driver in the vehicle according to the setting behavior of the driver's environment parameter in the vehicle, where the environmental parameter includes at least: a driving mode of the vehicle and a temperature parameter of the air conditioner.
  • the identity information of the person is stored in association with the corresponding scene mode.
  • the embodiment further includes a solution for obtaining the driver's setting habits for the environment parameters in the vehicle by learning.
  • the identity information of the current driver is identified; the identity information includes at least: a driver's avatar, a fingerprint, an iris, and the like.
  • the environmental parameter set by the driver to the vehicle is obtained, wherein the environmental parameter may include: a driving mode of the vehicle, a temperature parameter of the air conditioner, and a sound size of the sound. And/or a song that is often listened to, as a setting habit of the driver's environment parameters in the vehicle, and acquiring a current corresponding scene mode, setting the driver's setting habits to the environment parameters of the vehicle, and the driver's identity information and The corresponding scene mode is associated with the storage.
  • a learning unit or a learning module is set in the vehicle in advance, and corresponding learning is performed according to the driver's habits, such as the temperature of the air conditioner in the vehicle, the temperature adjustment, the sound volume of the sound, and the listening sound. Broadcast program settings, frequently heard songs, etc.
  • the learning unit recognizes that the driver is driving the vehicle, the learning unit automatically adjusts the interior environment according to the past driver's habits, making the driver more comfortable and safer to drive. .

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • User Interface Of Digital Computer (AREA)
  • Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)

Abstract

L'invention porte sur un procédé et un dispositif de réglage automatique d'environnement intra-véhicule. Le procédé consiste à : obtenir un mode de scène actuel et les habitudes pré-apprises de réglage de paramètres d'un environnement intra-véhicule d'un conducteur lorsqu'il est détecté que le conducteur conduit un véhicule; et régler automatiquement les paramètres liés d'environnement intra-véhicule selon le profil actuel et les habitudes pré-apprises de réglage de paramètres d'environnement intra-véhicule du conducteur. Le dispositif peut procéder à l'apprentissage de l'environnement intra-véhicule selon les habitudes du conducteur, et peut régler ou ajuster automatiquement les paramètres d'environnement intra-véhicule selon différentes scènes lorsque le conducteur conduit le véhicule, de sorte que le conducteur conduit le véhicule de manière plus confortable et plus sûre.
PCT/CN2017/078546 2016-12-06 2017-03-29 Procédé et dispositif de réglage automatique d'environnement intra-véhicule WO2018103238A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201611112771.5 2016-12-06
CN201611112771.5A CN106671915A (zh) 2016-12-06 2016-12-06 车内环境自动调节方法及装置

Publications (1)

Publication Number Publication Date
WO2018103238A1 true WO2018103238A1 (fr) 2018-06-14

Family

ID=58867693

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/078546 WO2018103238A1 (fr) 2016-12-06 2017-03-29 Procédé et dispositif de réglage automatique d'environnement intra-véhicule

Country Status (2)

Country Link
CN (1) CN106671915A (fr)
WO (1) WO2018103238A1 (fr)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114128219A (zh) * 2019-08-08 2022-03-01 松下知识产权经营株式会社 控制系统和控制方法
CN114630234A (zh) * 2020-12-14 2022-06-14 宝能汽车集团有限公司 车载系统的音量控制方法、控制装置和车载系统
CN114851803A (zh) * 2022-05-10 2022-08-05 阿维塔科技(重庆)有限公司 车辆座舱控制方法、车辆座舱控制装置
CN115376092A (zh) * 2022-10-21 2022-11-22 广州万协通信息技术有限公司 辅助驾驶中的图像识别方法及装置

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107472254A (zh) * 2017-08-08 2017-12-15 上海博泰悦臻网络技术服务有限公司 一种车辆控制的方法及系统
CN109591543A (zh) * 2017-09-30 2019-04-09 比亚迪股份有限公司 车载空调的控制方法、装置、计算机可读存储介质及车辆
CN108382153A (zh) * 2018-01-17 2018-08-10 上海爱优威软件开发有限公司 一种调节车内环境的方法及车内环境调节系统
JP7064912B2 (ja) * 2018-03-16 2022-05-11 本田技研工業株式会社 車両制御装置、及び配達システム。
JP7104369B2 (ja) * 2018-04-05 2022-07-21 トヨタ自動車株式会社 車内環境設定システム、車内環境設定方法、及び車内環境設定プログラム
CN109147820B (zh) * 2018-08-30 2021-09-10 深圳市元征科技股份有限公司 车载音响控制方法、装置、电子设备及存储介质
CN109334405A (zh) * 2018-09-21 2019-02-15 蔚来汽车有限公司 用于车辆的香氛控制方法及系统
CN109515361B (zh) * 2018-12-07 2022-03-11 上海科世达-华阳汽车电器有限公司 一种座舱调节系统及车辆
CN117141388A (zh) * 2019-11-08 2023-12-01 华为技术有限公司 改变车辆风格的方法、装置以及系统
CN112172712A (zh) * 2020-09-24 2021-01-05 上海仙塔智能科技有限公司 一种座舱服务方法及座舱服务系统
CN113031494A (zh) * 2021-04-29 2021-06-25 芜湖雄狮汽车科技有限公司 汽车座舱的环境优化方法、装置及车辆
CN114275031A (zh) * 2022-01-27 2022-04-05 湖南大学 一种基于驾驶员手部温度的方向盘温控方法、系统

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050278093A1 (en) * 2004-06-10 2005-12-15 Denso Corporation Vehicle control unit and vehicle control system having the same
JP2007043356A (ja) * 2005-08-02 2007-02-15 Nissan Motor Co Ltd 音量自動調節装置および音量自動調節方法
CN101844548A (zh) * 2010-03-30 2010-09-29 奇瑞汽车股份有限公司 一种车辆自动控制方法和系统
CN103398451A (zh) * 2013-07-12 2013-11-20 清华大学 基于学习用户行为的多维舒适度室内环境控制方法及系统
CN104796481A (zh) * 2015-04-27 2015-07-22 孙岳铮 一种音频视频智能选择方法
CN104836918A (zh) * 2015-05-28 2015-08-12 惠州Tcl移动通信有限公司 一种移动终端的情景模式自动切换方法及系统
CN104901976A (zh) * 2014-03-03 2015-09-09 华为技术有限公司 一种车辆内部使用场景的设置方法、车载设备和网络设备
CN105172716A (zh) * 2015-09-18 2015-12-23 智车优行科技(北京)有限公司 车内环境参数自动调节装置及方法

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103454990B (zh) * 2013-05-22 2016-02-17 陈飞 一种具有学习能力的设备参数调节方法及装置
US10272923B2 (en) * 2014-10-28 2019-04-30 Ford Global Technologies, Llc Driver-centric learning
CN106143351A (zh) * 2015-04-22 2016-11-23 中兴通讯股份有限公司 一种驾驶环境的调整方法和装置

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050278093A1 (en) * 2004-06-10 2005-12-15 Denso Corporation Vehicle control unit and vehicle control system having the same
JP2007043356A (ja) * 2005-08-02 2007-02-15 Nissan Motor Co Ltd 音量自動調節装置および音量自動調節方法
CN101844548A (zh) * 2010-03-30 2010-09-29 奇瑞汽车股份有限公司 一种车辆自动控制方法和系统
CN103398451A (zh) * 2013-07-12 2013-11-20 清华大学 基于学习用户行为的多维舒适度室内环境控制方法及系统
CN104901976A (zh) * 2014-03-03 2015-09-09 华为技术有限公司 一种车辆内部使用场景的设置方法、车载设备和网络设备
CN104796481A (zh) * 2015-04-27 2015-07-22 孙岳铮 一种音频视频智能选择方法
CN104836918A (zh) * 2015-05-28 2015-08-12 惠州Tcl移动通信有限公司 一种移动终端的情景模式自动切换方法及系统
CN105172716A (zh) * 2015-09-18 2015-12-23 智车优行科技(北京)有限公司 车内环境参数自动调节装置及方法

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114128219A (zh) * 2019-08-08 2022-03-01 松下知识产权经营株式会社 控制系统和控制方法
CN114128219B (zh) * 2019-08-08 2023-12-29 松下知识产权经营株式会社 控制系统和控制方法
CN114630234A (zh) * 2020-12-14 2022-06-14 宝能汽车集团有限公司 车载系统的音量控制方法、控制装置和车载系统
CN114851803A (zh) * 2022-05-10 2022-08-05 阿维塔科技(重庆)有限公司 车辆座舱控制方法、车辆座舱控制装置
CN114851803B (zh) * 2022-05-10 2024-05-14 阿维塔科技(重庆)有限公司 车辆座舱控制方法、车辆座舱控制装置
CN115376092A (zh) * 2022-10-21 2022-11-22 广州万协通信息技术有限公司 辅助驾驶中的图像识别方法及装置
CN115376092B (zh) * 2022-10-21 2023-02-28 广州万协通信息技术有限公司 辅助驾驶中的图像识别方法及装置

Also Published As

Publication number Publication date
CN106671915A (zh) 2017-05-17

Similar Documents

Publication Publication Date Title
WO2018103238A1 (fr) Procédé et dispositif de réglage automatique d'environnement intra-véhicule
WO2017201913A1 (fr) Procédé et dispositif de commande vocale précise
WO2018090486A1 (fr) Véhicule aérien sans pilote, station de base de charge, et système et procédé de charge sans fil
WO2018035997A1 (fr) Système et procédé d'affichage des conditions de circulation du véhicule précédent
WO2019051887A1 (fr) Procédé et dispositif permettant de commander un appareil ménager, et support d'informations lisible par ordinateur
WO2018018808A1 (fr) Climatiseur et procédé associé de régulation de température et d'humidité
WO2017041337A1 (fr) Procédé, terminal et système de commande d'un conditionneur d'air
WO2018028155A1 (fr) Procédé et système de recherche de véhicule
WO2013131444A1 (fr) Procédé, terminal, serveur et système de partage de contenu et support de stockage informatique
WO2016187964A1 (fr) Procédé et appareil de commande intelligente de dispositif commandé
WO2017036209A1 (fr) Procédé de lecture de données audio basé sur une télévision intelligente, et télévision intelligente et système
WO2020080846A1 (fr) Dispositif électronique, son procédé de commande, et système de commande de sortie sonore du dispositif électronique
WO2017036204A1 (fr) Procédé et dispositif de positionnement de foyer pour une commutation d'application
WO2017000729A1 (fr) Procédé et dispositif de commande de lecture audio/vidéo
WO2015010438A1 (fr) Système et procédé de composition automatique par reconnaissance oculaire destinés à un terminal embarqué
WO2018028079A1 (fr) Procédé et système d'autorisation temporaire de véhicule
WO2019108003A1 (fr) Procédé et dispositif de correction de caméra
WO2017206002A1 (fr) Terminal intelligent de véhicule et procédé de traitement d'informations de véhicule destinés à un terminal intelligent de véhicule
WO2018053963A1 (fr) Procédé et appareil de mise à niveau d'un système de téléviseur intelligent
EP3676147A1 (fr) Appareil de conduite autonome et procédé de conduite autonome d'un véhicule
WO2017096769A1 (fr) Procédé et système pour un étalonnage de couleur d'un dispositif d'affichage
WO2019075909A1 (fr) Climatiseur, procédé et dispositif de commande associé, et support de stockage lisible par ordinateur
WO2018053913A1 (fr) Procédé et dispositif de commande du déplacement d'un véhicule
WO2019114565A1 (fr) Procédé et dispositif d'ajustement de climatiseur et support de stockage
WO2016095270A1 (fr) Système de surveillance de sécurité et procédé de surveillance associé

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17879442

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17879442

Country of ref document: EP

Kind code of ref document: A1