WO2017071502A1 - 一种基于人脸识别的车辆控制系统 - Google Patents

一种基于人脸识别的车辆控制系统 Download PDF

Info

Publication number
WO2017071502A1
WO2017071502A1 PCT/CN2016/102423 CN2016102423W WO2017071502A1 WO 2017071502 A1 WO2017071502 A1 WO 2017071502A1 CN 2016102423 W CN2016102423 W CN 2016102423W WO 2017071502 A1 WO2017071502 A1 WO 2017071502A1
Authority
WO
WIPO (PCT)
Prior art keywords
face image
vehicle
image information
current
information
Prior art date
Application number
PCT/CN2016/102423
Other languages
English (en)
French (fr)
Inventor
李书福
Original Assignee
浙江吉利控股集团有限公司
浙江吉利汽车研究院有限公司
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 浙江吉利控股集团有限公司, 浙江吉利汽车研究院有限公司 filed Critical 浙江吉利控股集团有限公司
Priority to US15/771,604 priority Critical patent/US10821988B2/en
Priority to EP16858937.2A priority patent/EP3348441B1/en
Priority to JP2018521417A priority patent/JP6650032B2/ja
Publication of WO2017071502A1 publication Critical patent/WO2017071502A1/zh

Links

Images

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric 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
    • B60R16/02—Electric 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
    • B60R16/037—Electric 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W2040/0809—Driver authorisation; Driver identity check
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0062—Adapting control system settings
    • B60W2050/0075—Automatic parameter input, automatic initialising or calibrating means
    • B60W2050/0083—Setting, resetting, calibration
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2540/00—Input parameters relating to occupants
    • B60W2540/043—Identity of occupants

Definitions

  • the present invention relates to vehicles, and more particularly to a vehicle control system based on face recognition.
  • Vehicles refer to all cars. The following takes the car as an example to illustrate.
  • automobiles have expanded the radius of people's daily life, accelerated the transportation speed of goods, improved the quality of life, and made holiday travel more convenient.
  • China's economy and automobile industry more and more cars have entered the families of ordinary people.
  • a car Under normal circumstances, a car has more than one daily driver, and when the driver gets on the car, it adjusts the interior seat, mirror and mirror according to its height, size and personal preference.
  • the memory buttons are usually set up to three. Even if the seat memory adjustment of an individual vehicle matches the remote control key, one or two memory buttons can be added, which still cannot meet the individual needs of different drivers.
  • a vehicle control system based on face recognition including:
  • An image obtaining device configured to acquire current face image information of a current occupant in the vehicle
  • a memory for storing one or more known face image information and preset vehicle function configuration information respectively corresponding to the known face image information
  • a processor configured to perform matching calculation on the current face image information and the known face image information, to determine, in the known face image information, a matching face that matches the current face image information Image information
  • an executor configured to configure the vehicle according to the vehicle function configuration information corresponding to the matching face image information.
  • the image acquisition device is arranged to acquire only the current face image information of the current occupant at the main driver's seat of the vehicle.
  • vehicle function configuration information includes driving function configuration information and non-driving function matching Set the information.
  • the image acquisition device is arranged to be capable of acquiring the current face image information of a plurality of current occupants at a plurality of seating positions of the vehicle, and the processor is further configured to determine the current face image The position of the current occupant in the vehicle corresponding to the information.
  • the image obtaining device includes a plurality of cameras respectively corresponding to a plurality of seating positions of the vehicle, and the processor determines the current according to the camera corresponding to the current face image information.
  • the image acquisition device includes a camera, and the camera is arranged to acquire current face image information of a plurality of current occupants of the plurality of seating positions in the vehicle at a time, the processor is processed by image processing The manner is to determine the seating position of the current occupant corresponding to the current face image information.
  • the image acquisition device includes a camera, and the camera is arranged to acquire current face image information of a plurality of current occupants of the plurality of seating positions in the vehicle by scanning, the processor according to the The scanning position and/or angle of the camera corresponding to the current face image information determines the seating position of the current occupant corresponding to the current face image information.
  • vehicle function configuration information includes driving function configuration information.
  • the actuator configures the vehicle according to driving function configuration information corresponding to matching face image information corresponding to current face image information of a current person at the main driver's seat of the vehicle.
  • vehicle function configuration information further includes non-driving function configuration information.
  • the memory is further configured to store a preset priority of the non-driving function configuration information corresponding to the known face image information.
  • the executor performs the non-driving function configuration information having the highest preset priority among the plurality of non-driving function configuration information corresponding to the matching face image information according to the plurality of known face image information.
  • the vehicle is configured.
  • the current face image information is acquired by the image acquisition device, and the known face image information and the pre-stored vehicle function configuration information corresponding thereto are stored in the memory, and the known person is passed through the processor.
  • the face image information is determined in the face image information to determine the face image information that matches the current face image information, and the vehicle is configured by the actuator according to the corresponding vehicle function configuration information.
  • the present invention can employ a touch control system, and the vehicle function configuration information of the present invention includes driving function configuration information and non-driving function configuration information to overcome
  • the prior art fixed button setting can only be limited to three to five, overcoming the limitations of the prior art that only the seat can be adjusted, so the present invention can satisfy With the individualized needs of the driver, the vehicle user can obtain a better user experience and greatly improve the comfort of the vehicle.
  • FIG. 1 is a logic control diagram of a face recognition based vehicle control system in accordance with one embodiment of the present invention.
  • 100 image acquisition device 200 memory, 300 processor, 400 actuator.
  • the vehicle control system 1 is a logic control diagram of a face recognition based vehicle control system 1 in accordance with one embodiment of the present invention.
  • the vehicle control system 1 may generally include: the image acquisition device 100 for acquiring current face image information of a current occupant in the vehicle; the memory 200 for storing one or more known face image information and the known face image The preset vehicle function configuration information corresponding to the information; the processor 300 is configured to perform matching calculation on the current face image information and the known face image information, to determine the location in the known face image information The matching face image information matching the current face image information is used; the actuator 400 is configured to configure the vehicle according to the vehicle function configuration information corresponding to the matching face image information.
  • Known face image information 1 Vehicle function configuration information 11
  • Known face image information 2 Vehicle function configuration information 21
  • Known face image information 3 Vehicle function configuration information 31 ... ...
  • Table 1 is a configuration table corresponding to vehicle function configuration information in accordance with known face image information, in accordance with one embodiment of the present invention. This embodiment is described below with reference to Table 1:
  • the image acquisition device 100 acquires the inside of the vehicle. Current face image information A of the current occupant.
  • the memory 200 is configured to store a plurality of known face image information 1, 2, 3 and preset vehicle function configuration information 11, 21 corresponding to the known face image information 1, 2, 3, respectively. 31.
  • the processor 300 performs matching calculation on the current face image information A with the known face image information 1, 2, and 3, and determines a matching person matching the current face image information A in the known face image information 1, 2, and 3.
  • Face image information 2; the actuator 400 configures the vehicle based on the vehicle function configuration information 21 corresponding to the matching face image information 2, for example, the front and rear positions of the main driver's seat, the high and low positions, and the posture of the main driver's seat.
  • the face recognition-based vehicle control system 1 of the present invention acquires current face image information by the image acquisition device 100, and stores the known face image information and the pre-stored vehicle function corresponding thereto through the memory 200.
  • the configuration information is calculated by the processor 300 to determine face image information matching the current face image information in the known face image information, and the vehicle 400 is configured by the actuator 400 according to the corresponding vehicle function configuration information. Since the vehicle recognition system I based on the face recognition of the present invention can pre-store a greater amount of passenger data, the present invention can employ a touch control system, and the vehicle function configuration information of the present invention includes driving function configuration information and non-driving function configuration information.
  • the memory 200, the processor 300, and the actuator 400 can be configured in an on-board computer to fully utilize the original configuration of the vehicle and reduce the cost.
  • the memory 200, the processor 300, and the actuator 400 may also be separate components.
  • Table 2 is a personalized function configuration table according to an embodiment of the present invention, which is based only on the driver.
  • the image obtaining apparatus 100 may be arranged to obtain only The current face image information of the current occupant at the main driver's seat of the vehicle is taken.
  • the vehicle function configuration information includes driving function configuration information and non-driving function configuration information.
  • the driving function configuration information includes at least one of the following: the main driving seat preset position information, that is, the main driving seat preset front and rear position information and/or the high and low position information, the main driving seat preset posture information, and the rear view The mirror preset angle information, front and rear steering wheel position information and/or high and low position information, gearbox sport mode information or comfort mode information, and whether the engine turns on the parking start and stop mode information.
  • the non-driving function configuration information includes at least one of the following: air conditioning temperature setting information, audio category information and/or volume information, and whether the interior lighting is turned on and/or light brightness information.
  • the driving function configuration information referred to herein is not limited to the above-mentioned information listed, and may include other driving function configuration information related to driving, and the non-driving function configuration information is not limited to the listed ones.
  • the above information may also include other non-driving function configuration information that is not related to driving and that can improve the indoor environment of the vehicle.
  • the vehicle control system 1 acquires current face image information of the current occupant at the main driver's seat, and the processor 300 displays the current face image information A and the known face image information 1. 2, 3 perform matching calculation, and determine matching face image information 2 matching the current face image information A in the known face image information 1, 2, 3; the actuator 400 corresponds to the matching face image information 2
  • the driving function configuration information 21 and the non-driving function configuration information 22 configure the vehicle. For example, the front and rear positions of the main driving seat, the high and low positions, and the posture of the main driving seat, and the sound category and volume are arranged.
  • the actuator 400 of the vehicle control system 1 of the present invention is based on driving function configuration information such as the main driving seat preset position information, that is, the main driving seat preset front and rear position information and/or high and low position information, the main driving.
  • the seat preset posture information, the steering wheel front and rear position information, and/or the high and low position information configure the vehicle in a state in which the vehicle is stopped, and the vehicle is not configured when traveling.
  • the vehicle control system 1 of the present invention configures the vehicle according to the vehicle function configuration information, which may be a manual operation or an automatic operation, in particular, the vehicle control system 1 records and learns the driving of the driver based on the face recognition identity authentication. It is customary, for example, to configure the gearbox as the sport mode information or comfort mode information of the gearbox to satisfy the driver's driving habits.
  • the configuration is generally established on the basis of the self-learning driver's operating habits, that is, by learning the frequency at which the driver switches the transmission mode while driving, specifically, after the vehicle control system I recognizes the identity, it automatically switches to the corresponding driving mode. .
  • the image acquisition device 100 may be arranged to be capable of acquiring the current face image information of a plurality of current occupants at a plurality of seating positions of the vehicle, and the processing The device 300 is further configured to determine the current occupant in the vehicle corresponding to the current face image information The seating position inside.
  • the image obtaining apparatus 100 may include a plurality of cameras respectively corresponding to a plurality of seating positions of the vehicle, and the processor 300 corresponds to the current facial image information. The camera determines the seating position of the current occupant corresponding to the current face image information.
  • FIG. 1 the image acquisition device 100 may be arranged to be capable of acquiring the current face image information of a plurality of current occupants at a plurality of seating positions of the vehicle, and the processing The device 300 is further configured to determine the current occupant in the vehicle corresponding to the current face image information The seating position inside.
  • the image obtaining apparatus 100 may include a plurality of cameras respectively corresponding to a plurality of seating positions of the vehicle, and the processor 300 corresponds to
  • the image acquisition device 100 may include a camera arranged to acquire a current face image of a plurality of current occupants of a plurality of seating positions in the vehicle at one time. Information, the processor 300 determines, by means of image processing, a seating position of a current occupant corresponding to the current face image information.
  • the image acquisition device 100 may include a camera, the camera being arranged to acquire a current face of a plurality of current occupants of a plurality of seating positions in the vehicle by scanning.
  • the image information of the current occupant corresponding to the current face image information is determined by the processor 300 according to the scan position and/or angle of the camera corresponding to the current face image information.
  • the camera adopts color image input to make the captured image and motion easier to recognize; when the ambient brightness of the vehicle decreases, the camera automatically switches to grayscale image input and starts.
  • the infrared camera mode accurately captures the driver's facial features and facial movements at night or under the dark conditions of the tunnel lights, thereby accurately controlling the adjustment of the vehicle.
  • Table 3 is a personalized function configuration table according to an embodiment of the present invention according to a plurality of different occupants.
  • the vehicle function configuration information includes driving function configuration information and non-driving function configuration information corresponding to a plurality of occupants.
  • the driving function configuration information includes at least one of the following: the main driving seat preset position information, that is, the main driving seat preset front and rear position information and/or the high and low position information, the main driving seat preset posture information, and the rear view
  • the non-driving function configuration information includes at least one of the following: a passenger's seat position information, that is, a front-rear position and/or a high-low position of the passenger seat, a passenger's seat posture information, a seat attitude information of the passenger's seat, and the like.
  • Seat posture information air conditioning temperature setting information, sound category information and/or volume information, whether the interior lighting is turned on and/or lightness information, and selection information of the rear entertainment program.
  • the driving function configuration information referred to herein is not limited to the above-mentioned information listed, and may include other driving function configuration information related to driving, and the non-driving function configuration information is not limited to the listed ones.
  • the above information may also include other non-driving function configuration information that is not related to driving and that can improve the indoor environment of the vehicle.
  • the actuator 400 corresponds to the matching face image information corresponding to the current face image information of the current person at the main driver's seat of the vehicle.
  • the driving function configures the information to configure the vehicle.
  • Table 3 This example is described by taking Table 3 as an example.
  • the vehicle control system 1 acquires current face image information of the current occupant at the main driver's seat, and the processor 300 compares the current face image information A with the known face image information 1, 2 And 3 perform matching calculation, and determine matching face image information 1 matching the current face image information A in the known face image information 1, 2, 3; the actuator 400 corresponds to the matching face image information 1
  • the driving function configuration information 11 configures the vehicle. For example, the front and rear positions of the main driver's seat.
  • the memory 200 may further be configured to store a preset priority of the non-driving function configuration information corresponding to the known face image information.
  • the actuator 400 may correspond to the vehicle having the highest preset priority among the plurality of non-driving function configuration information corresponding to the matching face image information according to the plurality of known face image information. Configure it. This example is illustrated by taking Table 3 as an example.
  • the system I acquires the current face image information of the current occupant at each position of the vehicle, and the processor 300 matches the current face image information A, B, C with the known face image information 1, 2, 3, in the known person
  • the matching face image information 1 matching the current face image information A, the matching face image information 3 matching the current face image information B, and the current face image information are determined in the face image information 1, 2, and 3.
  • C-matched matching face image information 2; the actuator 400 has the highest preset priority non-driving function among the plurality of non-driving function configuration information corresponding to the matching face image information corresponding to the plurality of known face image information
  • the configuration information 23, 24, 25 configures the vehicle. For example, the front and rear position of the first officer, the air conditioning temperature, the rear entertainment program type and volume.
  • the occupant of the vehicle may include the driver, the elderly, the child, and the woman, and the preset priority of the non-driving function configuration information is the order of the elderly, the child, the woman, and the driver in descending order.
  • the front passenger rear seat is seated by a specific person, such as a fat person, a tall person, or a boss/boss. At this time, when the first officer is not seated, the front passenger seat is automatically adjusted. The chair is forward, providing more space for the rear row.
  • the driver may be reminded that the child seat should be used to protect the child's ride safety.
  • the vehicle control system 1 can be manually operated by a driver or automatically activated by the vehicle control system 1 in a learning mode.
  • Table 4 is a personalized function configuration table according to other non-driving function configuration information related to face actions according to an embodiment of the present invention.
  • the non-driving function configuration information is configured according to a rest state, a speaking state, or other devices.
  • the current facial motion of the current occupant in the vehicle acquired by the image obtaining device 100 associates the non-driving function configuration information, such as sound volume information, with a facial motion, and the processor 300 determines the current When the occupant is sleeping or talking, the volume can be appropriately lowered, and the amplitude of the volume is preferably between 50% and 80% of the original volume.
  • the face recognition based vehicle control system I of the present invention it is also possible to increase the parking Rear vehicle identification device.
  • the information is transmitted to the driver or the owner's mobile phone through the wireless communication network through the on-board computer, and the door is unlocked, the window is automatically opened, and the lights are automatically turned on and double-flashed. / or automatically sound an alarm, this can prevent the owner from forgetting to forget the child or pet in the car.
  • the appropriate control mode is selected to make the vehicle control system 1 of the present invention function as a theft prevention.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Transportation (AREA)
  • Automation & Control Theory (AREA)
  • Mathematical Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Health & Medical Sciences (AREA)
  • Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Collating Specific Patterns (AREA)

Abstract

一种基于人脸识别的车辆控制系统，该系统包括图像获取装置（100）、存储器（200）、处理器（300）及执行器（400），通过图像获取装置（100）获取当前人脸图像信息，通过存储器（200）存储已知人脸图像信息及与其对应的预存的车辆功能配置信息，通过处理器（300）在已知人脸图像信息中计算确定与当前人脸图像信息相匹配的人脸图像信息，通过执行器（400）根据相对应的车辆功能配置信息对车辆进行配置。该系统能够满足不同驾驶者的个性化需求，使得车辆使用者能够获得更好地用户体验，极大提高了车辆的舒适性。

Description

一种基于人脸识别的车辆控制系统 技术领域
本发明涉及车辆，特别是涉及一种基于人脸识别的车辆控制系统。
背景技术
车辆泛指所有的车。下面以汽车为例加以说明。汽车作为交通工具扩大了人们日常生活的半径，加速了商品的运输速度，提高了生活品质，让假期出行更加便利。随着我国经济和汽车工业的发展，越来越多的汽车走进了普通百姓的家庭。
在通常情况下，一辆汽车的日常驾驶员有一人以上，而当驾驶员上车后，会根据自身的身高、体型以及个人喜好，调节车内座椅、倒车镜和反光镜等设备。
虽然有些高档车型上设有座椅记忆功能，但由于座椅或车门上的布置空间有限，设置的记忆按钮一般最多为三个。即便个别车辆的座椅记忆调节与遥控钥匙匹配，能够增加一至两个记忆按钮，仍然不能满足不同驾驶者的个性化需求。
发明内容
为了解决现有技术中的车辆存在不能满足不同驾驶者的个性化需求的问题，本发明的一个目的是要提供一种基于人脸识别的车辆控制系统，包括：
图像获取装置，用于获取车辆内当前乘员的当前人脸图像信息；
存储器，用于存储一个或多个已知人脸图像信息及与所述已知人脸图像信息分别对应的预设的车辆功能配置信息；
处理器，用于将所述当前人脸图像信息与所述已知人脸图像信息进行匹配计算，以在所述已知人脸图像信息中确定与所述当前人脸图像信息相匹配的匹配人脸图像信息；
执行器，用于根据与所述匹配人脸图像信息相对应的所述车辆功能配置信息对所述车辆进行配置。
进一步地，所述图像获取装置布置成仅获取所述车辆的主驾驶座处的当前乘员的所述当前人脸图像信息。
进一步地，所述车辆功能配置信息包括驾驶功能配置信息和非驾驶功能配 置信息。
进一步地，所述图像获取装置布置成能够获取所述车辆的多个乘坐位置处的多个当前乘员的所述当前人脸图像信息，并且所述处理器还用于确定所述当前人脸图像信息对应的当前乘员的在车辆内的乘坐位置。
进一步地，所述图像获取装置包括分别对应布置在所述车辆的多个乘坐位置处的多个摄像头，所述处理器根据所述当前人脸图像信息所对应的所述摄像头来确定所述当前人脸图像信息对应的当前乘员的乘坐位置。
进一步地，所述图像获取装置包括一摄像头，所述摄像头布置成能够一次性地获取所述车辆内多个乘坐位置的多个当前乘员的当前人脸图像信息，所述处理器通过图像处理的方式来确定所述当前人脸图像信息对应的当前乘员的乘坐位置。
进一步地，所述图像获取装置包括一摄像头，所述摄像头布置成能够通过扫描的方式获取所述车辆内多个乘坐位置的多个当前乘员的当前人脸图像信息，所述处理器根据所述当前人脸图像信息所对应的所述摄像头的扫描位置和/或角度来确定所述当前人脸图像信息对应的当前乘员的乘坐位置。
进一步地，所述车辆功能配置信息包括驾驶功能配置信息。
进一步地，所述执行器根据所述车辆的主驾驶座处的当前人员的当前人脸图像信息对应的匹配人脸图像信息对应的驾驶功能配置信息来配置所述车辆。
进一步地，所述车辆功能配置信息还包括非驾驶功能配置信息。
进一步地，所述存储器还用于存储与所述已知人脸图像信息对应的所述非驾驶功能配置信息的预设优先级。
进一步地，所述执行器根据多个已知人脸图像信息对应所述匹配人脸图像信息相对应的多个非驾驶功能配置信息中具有最高的预设优先级的非驾驶功能配置信息对所述车辆进行配置。
本发明所述的基于人脸识别的车辆控制系统，通过图像获取装置获取当前人脸图像信息，通过存储器存储已知人脸图像信息及与其对应的预存的车辆功能配置信息，通过处理器在已知人脸图像信息中计算确定与当前人脸图像信息相匹配的人脸图像信息，通过执行器根据相对应的车辆功能配置信息对车辆进行配置。由于本发明基于人脸识别的车辆控制系统能够预存更多数量的乘客数据，本发明可以采用触摸式操控系统，且本发明的车辆功能配置信息包括驾驶功能配置信息及非驾驶功能配置信息，克服了现有技术固定按钮设置仅能为三至五个的局限，克服了现有技术仅能调节座椅的局限，因此本发明能够满足不 同驾驶者的个性化需求，使得车辆使用者能够获得更好地用户体验，极大提高了车辆的舒适性。
根据下文结合附图对本发明具体实施例的详细描述，本领域技术人员将会更加明了本发明的上述以及其他目的、优点和特征。
附图说明
后文将参照附图以示例性而非限制性的方式详细描述本发明的一些具体实施例。附图中相同的附图标记标示了相同或类似的部件或部分。本领域技术人员应该理解，这些附图未必是按比例绘制的。附图中：
图1是根据本发明一个实施例的基于人脸识别的车辆控制系统的逻辑控制图。
图中各符号表示含义如下：
I车辆控制系统，
100图像获取装置，200存储器，300处理器，400执行器。
具体实施方式
图1是根据本发明一个实施例的基于人脸识别的车辆控制系统I的逻辑控制图。车辆控制系统I一般性地可以包括：图像获取装置100用于获取车辆内当前乘员的当前人脸图像信息；存储器200用于存储一个或多个已知人脸图像信息及与所述已知人脸图像信息分别对应的预设的车辆功能配置信息；处理器300用于将所述当前人脸图像信息与所述已知人脸图像信息进行匹配计算，以在所述已知人脸图像信息中确定与所述当前人脸图像信息相匹配的匹配人脸图像信息；执行器400用于根据与所述匹配人脸图像信息相对应的所述车辆功能配置信息对所述车辆进行配置。
表1
已知人脸图像信息1 车辆功能配置信息11
已知人脸图像信息2 车辆功能配置信息21
已知人脸图像信息3 车辆功能配置信息31
… …
表1是根据本发明一个实施例的按照已知人脸图像信息对应车辆功能配置信息的配置表。本实施例，参考表1说明如下：图像获取装置100获取车辆内 当前乘员的当前人脸图像信息A。如表1所示，存储器200用于存储多个已知人脸图像信息1、2、3及与所述已知人脸图像信息1、2、3分别对应的预设的车辆功能配置信息11、21、31。处理器300将当前人脸图像信息A与已知人脸图像信息1、2、3进行匹配计算，在已知人脸图像信息1、2、3中确定与当前人脸图像信息A相匹配的匹配人脸图像信息2；执行器400根据与匹配人脸图像信息2相对应的车辆功能配置信息21对车辆进行配置，例如可以配置主驾驶座椅的前后位置、高低位置和主驾驶座椅的姿态。
参见图1所示，本发明所述的基于人脸识别的车辆控制系统I，通过图像获取装置100获取当前人脸图像信息，通过存储器200存储已知人脸图像信息及与其对应的预存的车辆功能配置信息，通过处理器300在已知人脸图像信息中计算确定与当前人脸图像信息相匹配的人脸图像信息，通过执行器400根据相对应的车辆功能配置信息对车辆进行配置。由于本发明基于人脸识别的车辆控制系统I能够预存更多数量的乘客数据，本发明可以采用触摸式操控系统，且本发明的车辆功能配置信息包括驾驶功能配置信息及非驾驶功能配置信息，克服了现有技术固定按钮设置仅能为三至五个的局限，克服了现有技术仅能调节座椅的局限，因此本发明能够满足不同驾驶者的个性化需求，使得车辆使用者能够获得更好地用户体验，获得适宜的车内环境以及良好的驾驶操作性能，极大提高了车辆的舒适性。
本实施例中，参见图1，存储器200、处理器300及执行器400可以配置在车载电脑中，以充分利用车辆原有配置，降低成本。在其他实施例中，存储器200、处理器300及执行器400还可以是单独设置的部件。
表2
Figure PCTCN2016102423-appb-000001
表2是本发明一个实施例仅根据驾驶员的不同进行的个性化功能配置表。
具体地，参见图1，本实施例中，所述图像获取装置100可以布置成仅获 取所述车辆的主驾驶座处的当前乘员的所述当前人脸图像信息。更具体地，参见表2，所述车辆功能配置信息包括驾驶功能配置信息和非驾驶功能配置信息。其中，驾驶功能配置信息包括下列中的至少一项：主驾驶座椅预设位置信息即主驾驶座椅预设前后位置信息和/或高低位置信息，主驾驶座椅预设姿态信息，后视镜预设角度信息，方向盘前后位置信息和/或高低位置信息，变速箱的运动模式信息或舒适模式信息，以及发动机是否开启驻车启停模式信息。非驾驶功能配置信息包括下列中的至少一项：空调温度设定信息，音响类别信息和/或音量信息，以及车内灯光是否开启和/或灯光亮度信息。
需要说明的是，这里所指的所述驾驶功能配置信息不局限于所列举的上述信息，还可以包括其他与驾驶相关的驾驶功能配置信息，所述非驾驶功能配置信息不局限于所列举的上述信息，还可以包括其他不与驾驶相关的、能够改善车辆室内环境的其他非驾驶功能配置信息。
具体实施时，根据表2举例说明如下：所述车辆控制系统I获取主驾驶座处的当前乘员的当前人脸图像信息，处理器300将当前人脸图像信息A与已知人脸图像信息1、2、3进行匹配计算，在已知人脸图像信息1、2、3中确定与当前人脸图像信息A相匹配的匹配人脸图像信息2；执行器400根据与匹配人脸图像信息2相对应的驾驶功能配置信息21及非驾驶功能配置信息22对车辆进行配置。例如配置主驾驶座椅的前后位置、高低位置和主驾驶座椅的姿态，以及音响类别及音量。
需要说明的是，本发明所述车辆控制系统I的执行器400根据驾驶功能配置信息例如主驾驶座椅预设位置信息即主驾驶座椅预设前后位置信息和/或高低位置信息、主驾驶座椅预设姿态信息、方向盘前后位置信息和/或高低位置信息对车辆进行配置，是在车辆停稳的状态下进行的，车辆行驶时不做配置。
本发明所述车辆控制系统I根据车辆功能配置信息对车辆配置，可以是手动操作，也可以是自动操作，具体是在所述车辆控制系统I记录并学习基于人脸识别身份认证驾驶员的驾驶习惯，例如配置变速箱为变速箱的运动模式信息或舒适模式信息，以满足驾驶者的驾驶习惯。该配置一般建立在自学习驾驶员操作习惯的基础上，即通过学习驾驶员驾驶时切换变速器模式的频率来确定，具体为所述车辆控制系统I识别身份后，则自动切换至相应的驾驶模式。
具体地，本实施例中，参见图1，所述图像获取装置100可以布置成能够获取所述车辆的多个乘坐位置处的多个当前乘员的所述当前人脸图像信息，并且所述处理器300还用于确定所述当前人脸图像信息对应的当前乘员的在车辆 内的乘坐位置。本实施例中，参见图1，所述图像获取装置100可以包括分别对应布置在所述车辆的多个乘坐位置处的多个摄像头，所述处理器300根据所述当前人脸图像信息所对应的所述摄像头来确定所述当前人脸图像信息对应的当前乘员的乘坐位置。在其他本实施例中，参见图1，所述图像获取装置100可以包括一摄像头，所述摄像头布置成能够一次性地获取所述车辆内多个乘坐位置的多个当前乘员的当前人脸图像信息，所述处理器300通过图像处理的方式来确定所述当前人脸图像信息对应的当前乘员的乘坐位置。在其他本实施例中，参见图1，所述图像获取装置100可以包括一摄像头，所述摄像头布置成能够通过扫描的方式获取所述车辆内多个乘坐位置的多个当前乘员的当前人脸图像信息，所述处理器300根据所述当前人脸图像信息所对应的所述摄像头的扫描位置和/或角度来确定所述当前人脸图像信息对应的当前乘员的乘坐位置。
需要说明的是，上述实施例中，所述摄像头采用彩色图像输入，以使得捕捉到的图像、动作更加易于识别；当车辆内环境亮度降低时，所述摄像头自动切换至灰阶图像输入并开启红外摄像模式，以在夜晚或隧道灯黑暗环境下，准确捕捉驾驶者的面部特征和面部动作，从而准确控制调节所述车辆。
表3
Figure PCTCN2016102423-appb-000002
Figure PCTCN2016102423-appb-000003
表3是本发明一个实施例根据多个不同乘员的不同进行的个性化功能配置表。
如表3所示，本实施例中，有多个乘员情况下，所述车辆功能配置信息包括对应多个乘员的驾驶功能配置信息和非驾驶功能配置信息。
其中，驾驶功能配置信息包括下列中的至少一项：主驾驶座椅预设位置信息即主驾驶座椅预设前后位置信息和/或高低位置信息，主驾驶座椅预设姿态信息，后视镜预设角度信息，方向盘前后位置信息和/或高低位置信息，变速箱的运动模式信息或舒适模式信息，以及发动机是否开启驻车启停模式信息。
非驾驶功能配置信息包括下列中的至少一项：副驾驶座椅位置信息即副驾驶座椅的前后位置和/或高低位置，副驾驶座椅姿态信息，副驾驶座后方座椅姿态信息，其他座椅姿态信息，空调温度设定信息，音响类别信息和/或音量信息，车内灯光是否开启和/或灯光亮度信息，以及后排娱乐节目的选择信息。
需要说明的是，这里所指的所述驾驶功能配置信息不局限于所列举的上述信息，还可以包括其他与驾驶相关的驾驶功能配置信息，所述非驾驶功能配置信息不局限于所列举的上述信息，还可以包括其他不与驾驶相关的、能够改善车辆室内环境的其他非驾驶功能配置信息。
更具体地，参见表3，本实施例，有多个乘员情况下，所述执行器400根据所述车辆的主驾驶座处的当前人员的当前人脸图像信息对应的匹配人脸图像信息对应的驾驶功能配置信息来配置所述车辆。本例以表3为例加以说明，所述车辆控制系统I获取主驾驶座处的当前乘员的当前人脸图像信息，处理器300将当前人脸图像信息A与已知人脸图像信息1、2、3进行匹配计算，在已知人脸图像信息1、2、3中确定与当前人脸图像信息A相匹配的匹配人脸图像信息1；执行器400根据与匹配人脸图像信息1相对应的驾驶功能配置信息11对车辆进行配置。例如主驾驶座椅的前后位置。
更具体地，参见表3，本实施例，有多个乘员情况下，所述存储器200还可以用于存储与所述已知人脸图像信息对应的所述非驾驶功能配置信息的预设优先级。所述执行器400可以根据多个已知人脸图像信息对应所述匹配人脸图像信息相对应的多个非驾驶功能配置信息中具有最高的预设优先级的非驾驶功能配置信息对所述车辆进行配置。本例以表3为例加以说明，所述车辆控 制系统I获取车辆各个位置处的当前乘员的当前人脸图像信息，处理器300将当前人脸图像信息A、B、C与已知人脸图像信息1、2、3进行匹配计算，在已知人脸图像信息1、2、3中确定与当前人脸图像信息A相匹配的匹配人脸图像信息1、与当前人脸图像信息B相匹配的匹配人脸图像信息3、与当前人脸图像信息C相匹配的匹配人脸图像信息2；执行器400根据多个已知人脸图像信息对应匹配人脸图像信息相对应的多个非驾驶功能配置信息中具有最高的预设优先级的非驾驶功能配置信息23、24、25对所述车辆进行配置。例如副驾驶前后位置，空调温度，后排娱乐节目类型及音量。
具体实施时，车辆的乘员可能包括驾驶员、老人、儿童、妇女，非驾驶功能配置信息的预设优先级按照由高到低的顺序依次为老人、儿童、妇女、驾驶员。在另一个实施例中，副驾驶后方座椅乘座着特定的人，例如体型胖的人、身高高的人或上司/老板，此时，当副驾驶没有人坐时，自动调节副驾驶座椅向前，为后排提供更大的乘坐空间。在另一个实施例中，当识别出是身材娇小的儿童时，可以提醒驾驶员，应该使用儿童座椅，以保护儿童的乘坐安全。
所述车辆控制系统I可以通过驾驶员手动操作，或者由所述车辆控制系统I自动开启学习模式自动操作。
表4
Figure PCTCN2016102423-appb-000004
表4是根据本发明一个实施例根据其他与人脸动作相关的非驾驶功能配置信息进行的个性化功能配置表。
本实施例，参见表4，所述非驾驶功能配置信息按照休息状态、说话状态或其他装置进行配置。具体实施时，图像获取装置100获取的车辆内当前乘员的当前人脸动作，将所述非驾驶功能配置信息例如音响的音量信息与人脸动作相关联，所述处理器300判定出所述当前乘员正在睡觉或在说话，可以适当降低音量，降低音量的幅度优选在原音量的50％～80％之间。
此外，借助本发明所述基于人脸识别的车辆控制系统I，还可以增加驻车 后车内人员识别装置。在车辆锁车的情况下，一旦发现车内有人员迹象，通过车载电脑将信息通过无线通讯网络发送至驾驶员或车主手机，并将车门解锁、自动开启车窗、自动开启车灯双闪和/或自动发出报警声，这样可以避免车主误将小孩或宠物遗忘在车内。根据上述原理，选择合适的控制方式使本发明所述车辆控制系统I起到防盗的作用。
至此，本领域技术人员应认识到，虽然本文已详尽示出和描述了本发明的多个示例性实施例，但是，在不脱离本发明精神和范围的情况下，仍可根据本发明公开的内容直接确定或推导出符合本发明原理的许多其他变型或修改。因此，本发明的范围应被理解和认定为覆盖了所有这些其他变型或修改。

Claims (12)

  1. 一种基于人脸识别的车辆控制系统，其特征在于，包括：
    图像获取装置，用于获取车辆内当前乘员的当前人脸图像信息；
    存储器，用于存储一个或多个已知人脸图像信息及与所述已知人脸图像信息分别对应的预设的车辆功能配置信息；
    处理器，用于将所述当前人脸图像信息与所述已知人脸图像信息进行匹配计算，以在所述已知人脸图像信息中确定与所述当前人脸图像信息相匹配的匹配人脸图像信息；
    执行器，用于根据与所述匹配人脸图像信息相对应的所述车辆功能配置信息对所述车辆进行配置。
  2. 根据权利要求1所述的车辆控制系统，其特征在于，所述图像获取装置布置成仅获取所述车辆的主驾驶座处的当前乘员的所述当前人脸图像信息。
  3. 根据权利要求1或2所述的车辆控制系统，其特征在于，所述车辆功能配置信息包括驾驶功能配置信息和非驾驶功能配置信息。
  4. 根据权利要求1所述的车辆控制系统，其特征在于，所述图像获取装置布置成能够获取所述车辆的多个乘坐位置处的多个当前乘员的所述当前人脸图像信息，并且所述处理器还用于确定所述当前人脸图像信息对应的当前乘员的在车辆内的乘坐位置。
  5. 根据权利要求4所述的车辆控制系统，其特征在于，所述图像获取装置包括分别对应布置在所述车辆的多个乘坐位置处的多个摄像头，所述处理器根据所述当前人脸图像信息所对应的所述摄像头来确定所述当前人脸图像信息对应的当前乘员的乘坐位置。
  6. 根据权利要求4所述的车辆控制系统，其特征在于，所述图像获取装置包括一摄像头，所述摄像头布置成能够一次性地获取所述车辆内多个乘坐位置的多个当前乘员的当前人脸图像信息，所述处理器通过图像处理的方式来确定所述当前人脸图像信息对应的当前乘员的乘坐位置。
  7. 根据权利要求4所述的车辆控制系统，其特征在于，所述图像获取装置包括一摄像头，所述摄像头布置成能够通过扫描的方式获取所述车辆内多个乘坐位置的多个当前乘员的当前人脸图像信息，所述处理器根据所述当前人脸图像信息所对应的所述摄像头的扫描位置和/或角度来确定所述当前人脸图像信息对应的当前乘员的乘坐位置。
  8. 根据权利要求4-7中任一项所述的车辆控制系统，其特征在于，所述车辆功能配置信息包括驾驶功能配置信息。
  9. 根据权利要求8所述的车辆控制系统，其特征在于，所述执行器根据所述车辆的主驾驶座处的当前人员的当前人脸图像信息对应的匹配人脸图像信息对应的驾驶功能配置信息来配置所述车辆。
  10. 根据权利要求8或9所述的车辆控制系统，其特征在于，所述车辆功能配置信息还包括非驾驶功能配置信息。
  11. 根据权利要求10所述的车辆控制系统，其特征在于，所述存储器还用于存储与所述已知人脸图像信息对应的所述非驾驶功能配置信息的预设优先级。
  12. 根据权利要求11所述的车辆控制系统，其特征在于，所述执行器根据多个已知人脸图像信息对应所述匹配人脸图像信息相对应的多个非驾驶功能配置信息中具有最高的预设优先级的非驾驶功能配置信息对所述车辆进行配置。
PCT/CN2016/102423 2015-10-27 2016-10-18 一种基于人脸识别的车辆控制系统 WO2017071502A1 (zh)

Priority Applications (3)

Application Number Priority Date Filing Date Title
US15/771,604 US10821988B2 (en) 2015-10-27 2016-10-18 Vehicle control system based on face recognition
EP16858937.2A EP3348441B1 (en) 2015-10-27 2016-10-18 Vehicle control system based on face recognition
JP2018521417A JP6650032B2 (ja) 2015-10-27 2016-10-18 人物の顔認証に基づく車両制御システム

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510707173.1A CN105235615B (zh) 2015-10-27 2015-10-27 一种基于人脸识别的车辆控制系统
CN201510707173.1 2015-10-27

Publications (1)

Publication Number Publication Date
WO2017071502A1 true WO2017071502A1 (zh) 2017-05-04

Family

ID=55033532

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/102423 WO2017071502A1 (zh) 2015-10-27 2016-10-18 一种基于人脸识别的车辆控制系统

Country Status (5)

Country Link
US (1) US10821988B2 (zh)
EP (1) EP3348441B1 (zh)
JP (1) JP6650032B2 (zh)
CN (1) CN105235615B (zh)
WO (1) WO2017071502A1 (zh)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112560711A (zh) * 2020-12-18 2021-03-26 深圳赛安特技术服务有限公司 非机动车交通违法判定方法、系统、装置及存储介质
CN112560711B (zh) * 2020-12-18 2024-06-07 深圳赛安特技术服务有限公司 非机动车交通违法判定方法、系统、装置及存储介质

Families Citing this family (59)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105235615B (zh) * 2015-10-27 2018-01-23 浙江吉利控股集团有限公司 一种基于人脸识别的车辆控制系统
WO2017124484A1 (zh) * 2016-01-23 2017-07-27 刘建兵 根据人脸识别开启车门的方法以及识别系统
WO2017124482A1 (zh) * 2016-01-23 2017-07-27 刘建兵 人脸识别技术开启车门时的技术信息采集方法和识别系统
WO2017124483A1 (zh) * 2016-01-23 2017-07-27 刘建兵 识别人脸图像开启车门技术的信息推送方法以及识别系统
CN105610013A (zh) * 2016-01-26 2016-05-25 上海斐讯数据通信技术有限公司 一种基于人脸识别的插座安全控制系统、方法及安全插座
CN105843375A (zh) * 2016-02-22 2016-08-10 乐卡汽车智能科技（北京）有限公司 用于车辆的设置方法、装置及车载电子信息系统
JP6788477B2 (ja) * 2016-03-10 2020-11-25 パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカＰａｎａｓｏｎｉｃ Ｉｎｔｅｌｌｅｃｔｕａｌ Ｐｒｏｐｅｒｔｙ Ｃｏｒｐｏｒａｔｉｏｎ ｏｆ Ａｍｅｒｉｃａ 認識結果提示装置及び認識結果提示方法
CN105774707A (zh) * 2016-03-18 2016-07-20 中山国鳌智能科技有限公司 一种汽车副驾驶位座椅智能调节系统
CN105774709A (zh) * 2016-04-18 2016-07-20 北京新能源汽车股份有限公司 车身控制装置及其控制方法和车身控制系统以及车辆
CN105905116A (zh) * 2016-04-27 2016-08-31 乐视控股（北京）有限公司 一种人车互动装置及互动方法
CN106056094A (zh) * 2016-06-03 2016-10-26 合肥晟泰克汽车电子有限公司 车辆驾驶习惯记忆控制系统及方法
CN106043179A (zh) * 2016-06-08 2016-10-26 乐视控股（北京）有限公司 车辆调节方法及装置
JPWO2018043540A1 (ja) * 2016-08-31 2019-06-24 パイオニア株式会社 制御装置、制御方法、およびプログラム
CN106335454A (zh) * 2016-09-29 2017-01-18 北京汽车股份有限公司 车辆和驾驶员车辆驾驶习惯的设置方法
JP6458792B2 (ja) * 2016-11-04 2019-01-30 本田技研工業株式会社 車両制御システム、車両制御方法、および車両制御プログラム
CN106564449B (zh) * 2016-11-08 2020-08-21 捷开通讯(深圳)有限公司 一种智能行车定制方法和装置
CN108090393A (zh) * 2016-11-10 2018-05-29 厦门雅迅网络股份有限公司 基于音视频识别的出租车载客不打表的检测方法及系统
CN108263245A (zh) * 2017-01-03 2018-07-10 南京世界村汽车动力有限公司 一种电动车油门灵敏度调节系统
US20180215395A1 (en) * 2017-02-02 2018-08-02 Intel Corporation Context derived driver assistance
CN109532844A (zh) * 2017-09-22 2019-03-29 中兴通讯股份有限公司 一种车载信息的监测方法及装置、计算机存储介质
CN107963080A (zh) * 2017-12-05 2018-04-27 李国强 一种车辆自动调节方法及系统
US11273836B2 (en) * 2017-12-18 2022-03-15 Plusai, Inc. Method and system for human-like driving lane planning in autonomous driving vehicles
CN108016386A (zh) * 2017-12-29 2018-05-11 爱驰汽车有限公司 车内环境配置系统、装置、方法、设备及存储介质
US11014533B2 (en) 2018-01-05 2021-05-25 Byton Limited Platform for automotive personalization
CN108189788B (zh) * 2018-01-11 2021-07-06 蔚来(安徽)控股有限公司 车辆自动调整系统以及车辆自动调整方法
CN108594818A (zh) * 2018-04-27 2018-09-28 深圳市商汤科技有限公司 智能驾驶控制方法、智能车载设备和系统
CN108725357B (zh) * 2018-05-15 2022-06-03 上海博泰悦臻网络技术服务有限公司 基于人脸识别的参数控制方法、系统与云端服务器
US10970571B2 (en) * 2018-06-04 2021-04-06 Shanghai Sensetime Intelligent Technology Co., Ltd. Vehicle control method and system, vehicle-mounted intelligent system, electronic device, and medium
US10915769B2 (en) * 2018-06-04 2021-02-09 Shanghai Sensetime Intelligent Technology Co., Ltd Driving management methods and systems, vehicle-mounted intelligent systems, electronic devices, and medium
CN110562003A (zh) * 2018-06-05 2019-12-13 上海博泰悦臻网络技术服务有限公司 车内设备控制装置
CN110852133A (zh) * 2018-07-27 2020-02-28 宝时得科技（中国）有限公司 自动行走设备、及其控制方法、控制装置及计算机设备
DE102018212902A1 (de) 2018-08-02 2020-02-06 Bayerische Motoren Werke Aktiengesellschaft Verfahren zum Bestimmen eines digitalen Assistenten zum Ausführen einer Fahrzeugfunktion aus einer Vielzahl von digitalen Assistenten in einem Fahrzeug, computerlesbares Medium, System, und Fahrzeug
CN109624894A (zh) * 2018-12-12 2019-04-16 北京新能源汽车股份有限公司 一种模式控制方法、装置、设备及汽车
US20200216077A1 (en) * 2019-01-04 2020-07-09 Byton North America Corporation Systems and methods for vehicle systems customization for one or more users of the vehicle
CN111422200B (zh) * 2019-01-09 2022-02-08 北京地平线机器人技术研发有限公司 调节车辆设备的方法、装置及电子设备
JP7216893B2 (ja) * 2019-03-06 2023-02-02 トヨタ自動車株式会社 移動体及び移動システム
CN109910819B (zh) * 2019-03-12 2022-03-08 深圳壹账通智能科技有限公司 一种车内环境设置方法、装置、可读存储介质及终端设备
CN110276245A (zh) * 2019-05-09 2019-09-24 浙江吉利控股集团有限公司 一种驾驶员的人脸识别方法、装置、系统及终端
CN111942115A (zh) * 2019-05-16 2020-11-17 北京车和家信息技术有限公司 一种车辆玻璃的控制方法及车辆
CN110254393A (zh) * 2019-06-21 2019-09-20 一汽轿车股份有限公司 一种基于人脸识别技术的汽车自适应控制方法
CN112149482A (zh) * 2019-06-28 2020-12-29 深圳市商汤科技有限公司 驾驶员在岗状态检测方法、装置、设备和计算机存储介质
CN110217188A (zh) * 2019-07-02 2019-09-10 广州小鹏汽车科技有限公司 一种交互方法、装置和车辆
CN110341627B (zh) * 2019-07-16 2021-05-11 北京梧桐车联科技有限责任公司 控制车内行为的方法和装置
CN110781799B (zh) * 2019-10-22 2022-01-28 上海商汤智能科技有限公司 车舱内图像处理方法及装置
CN112947740A (zh) * 2019-11-22 2021-06-11 深圳市超捷通讯有限公司 基于动作分析的人机交互方法、车载装置
CN111506745A (zh) * 2020-02-17 2020-08-07 吉利汽车研究院（宁波）有限公司 一种车机中媒体内容的处理方法及装置
CN111645633A (zh) * 2020-06-10 2020-09-11 中国第一汽车股份有限公司 一种车辆控制方法、装置、车辆及存储介质
CN114564159B (zh) * 2020-11-27 2024-01-30 上海擎感智能科技有限公司 控制方法、系统及计算机存储介质
CN112572333B (zh) * 2020-12-29 2022-12-13 摩登汽车(盐城)有限公司 汽车声像位置的调节方法及系统
CN113347742B (zh) * 2021-06-11 2023-04-18 阿波罗智联(北京)科技有限公司 车机蓝牙的连接方法、装置、电子设备及存储介质
CN113276890A (zh) * 2021-07-14 2021-08-20 国汽智控(北京)科技有限公司 车辆的自动控制方法、装置及车辆
CN113353011B (zh) * 2021-07-27 2022-08-30 奇瑞新能源汽车股份有限公司 车辆的舒适度调节方法及装置
CN113824714B (zh) * 2021-09-17 2022-11-25 珠海极海半导体有限公司 车辆配置方法和系统
FR3127355B1 (fr) * 2021-09-20 2023-09-29 Renault Sas procédé de sélection d’un mode de fonctionnement d’un dispositif de capture d’images pour reconnaissance faciale
CN114013392A (zh) * 2021-11-08 2022-02-08 阿维塔科技(重庆)有限公司 基于车辆座舱的休息空间控制方法、装置、系统及设备
CN114619993B (zh) * 2022-03-16 2023-06-16 上海齐感电子信息科技有限公司 基于人脸识别汽车控制方法及其系统、设备及存储介质
CN114919471A (zh) * 2022-05-30 2022-08-19 重庆长安汽车股份有限公司 汽车座椅自适应调节方法、装置、电子设备及存储介质
CN115009113B (zh) * 2022-06-06 2024-05-03 深圳市航顺芯片技术研发有限公司 座椅调节方法、装置及存储介质
CN115742999A (zh) * 2022-11-28 2023-03-07 阿尔特(北京)汽车数字科技有限公司 车辆操控器控制车辆的方法及装置

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070299577A1 (en) * 2006-05-24 2007-12-27 Denso Corporation User assistance system for vehicle
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
US20110279282A1 (en) * 2010-05-12 2011-11-17 Gm Global Technology Operations, Inc. Memory features for a manually adjustable apparatus
CN103455143A (zh) * 2013-08-21 2013-12-18 奇瑞汽车股份有限公司 一种基于人像识别技术的人机交互系统及其运作方法
CN103707781A (zh) * 2013-12-26 2014-04-09 苏州清研微视电子科技有限公司 基于距离图像的驾驶员座椅位置自动调整系统
CN104252615A (zh) * 2013-06-30 2014-12-31 贵州大学 基于人脸识别的驾驶员座椅调整方法
CN104590130A (zh) * 2015-01-06 2015-05-06 上海交通大学 基于图像识别的后视镜自适应调节方法
CN105128773A (zh) * 2015-08-07 2015-12-09 浙江工业职业技术学院 驾驶视野自动调节系统
CN105235615A (zh) * 2015-10-27 2016-01-13 浙江吉利控股集团有限公司 一种基于人脸识别的车辆控制系统
CN105270297A (zh) * 2014-06-09 2016-01-27 源捷公司 车辆学习界面

Family Cites Families (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH01158579A (ja) * 1987-09-09 1989-06-21 Aisin Seiki Co Ltd 像認識装置
US6400835B1 (en) * 1996-05-15 2002-06-04 Jerome H. Lemelson Taillight mounted vehicle security system employing facial recognition using a reflected image
US7110570B1 (en) * 2000-07-21 2006-09-19 Trw Inc. Application of human facial features recognition to automobile security and convenience
US20020197976A1 (en) * 2001-06-22 2002-12-26 Jonathan Liu Vehicle customized feature activation system
JP2003095067A (ja) * 2001-09-20 2003-04-03 Toshiba Corp 盗難防止システム及び盗難防止方法
JP4564320B2 (ja) * 2004-09-29 2010-10-20 アイシン精機株式会社 ドライバモニタシステム
JP2007272877A (ja) * 2006-03-06 2007-10-18 Omron Corp 情報処理装置および方法、プログラム、並びに記録媒体
US8437919B2 (en) * 2007-03-13 2013-05-07 GM Global Technology Operations LLC Vehicle personalization system
JP4332813B2 (ja) * 2007-07-23 2009-09-16 株式会社デンソー 自動車用ユーザーもてなしシステム
JP2009073421A (ja) * 2007-09-21 2009-04-09 Toyota Infotechnology Center Co Ltd 車載機器制御システム
JP5141292B2 (ja) * 2008-02-22 2013-02-13 株式会社デンソー 聴覚情報提供装置及び聴覚情報提供プログラム
JP5245581B2 (ja) * 2008-07-01 2013-07-24 株式会社デンソー 運転環境設定装置，運転環境設定システムおよびプログラム
JP2010111292A (ja) * 2008-11-06 2010-05-20 Panasonic Electric Works Co Ltd 車両制御装置
US9998697B2 (en) * 2009-03-02 2018-06-12 Flir Systems, Inc. Systems and methods for monitoring vehicle occupants
JP2010213749A (ja) * 2009-03-13 2010-09-30 Omron Corp 車両動作制御装置および方法、並びにプログラム
TWI422504B (zh) 2010-12-31 2014-01-11 Altek Corp 車用設備控制系統及其方法
DE102011083944A1 (de) * 2011-10-04 2013-04-04 Robert Bosch Gmbh Verfahren zum Aktivieren eines Fahrerassistenzsystems
US20130204457A1 (en) * 2012-02-06 2013-08-08 Ford Global Technologies, Llc Interacting with vehicle controls through gesture recognition
EP2836410B1 (en) * 2012-03-05 2019-04-24 Intel Corporation User identification and personalized vehicle settings management system
US8880291B2 (en) * 2012-05-17 2014-11-04 Harman International Industries, Inc. Methods and systems for preventing unauthorized vehicle operation using face recognition
WO2014014862A2 (en) * 2012-07-17 2014-01-23 Flextronics Ap, Llc Vehicle climate control
US9096234B2 (en) * 2012-11-20 2015-08-04 General Motors Llc Method and system for in-vehicle function control
JP2014113962A (ja) * 2012-12-11 2014-06-26 Denso Corp 機器用制御装置
EP2743141A1 (en) * 2012-12-12 2014-06-18 Volvo Car Corporation Control arrangement for vehicle
US20150379362A1 (en) * 2013-02-21 2015-12-31 Iee International Electronics & Engineering S.A. Imaging device based occupant monitoring system supporting multiple functions
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
DE102015204282A1 (de) * 2015-03-10 2016-09-15 Robert Bosch Gmbh Verfahren zum Betreiben eines Kraftfahrzeuges, Steuervorrichtung und Computerprogrammprodukt

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070299577A1 (en) * 2006-05-24 2007-12-27 Denso Corporation User assistance system for vehicle
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
US20110279282A1 (en) * 2010-05-12 2011-11-17 Gm Global Technology Operations, Inc. Memory features for a manually adjustable apparatus
CN104252615A (zh) * 2013-06-30 2014-12-31 贵州大学 基于人脸识别的驾驶员座椅调整方法
CN103455143A (zh) * 2013-08-21 2013-12-18 奇瑞汽车股份有限公司 一种基于人像识别技术的人机交互系统及其运作方法
CN103707781A (zh) * 2013-12-26 2014-04-09 苏州清研微视电子科技有限公司 基于距离图像的驾驶员座椅位置自动调整系统
CN105270297A (zh) * 2014-06-09 2016-01-27 源捷公司 车辆学习界面
CN104590130A (zh) * 2015-01-06 2015-05-06 上海交通大学 基于图像识别的后视镜自适应调节方法
CN105128773A (zh) * 2015-08-07 2015-12-09 浙江工业职业技术学院 驾驶视野自动调节系统
CN105235615A (zh) * 2015-10-27 2016-01-13 浙江吉利控股集团有限公司 一种基于人脸识别的车辆控制系统

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3348441A4 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112560711A (zh) * 2020-12-18 2021-03-26 深圳赛安特技术服务有限公司 非机动车交通违法判定方法、系统、装置及存储介质
CN112560711B (zh) * 2020-12-18 2024-06-07 深圳赛安特技术服务有限公司 非机动车交通违法判定方法、系统、装置及存储介质

Also Published As

Publication number Publication date
CN105235615A (zh) 2016-01-13
EP3348441B1 (en) 2020-07-15
EP3348441A4 (en) 2018-09-26
CN105235615B (zh) 2018-01-23
JP2018537332A (ja) 2018-12-20
JP6650032B2 (ja) 2020-02-19
US20180312168A1 (en) 2018-11-01
US10821988B2 (en) 2020-11-03
EP3348441A1 (en) 2018-07-18

Similar Documents

Publication Publication Date Title
WO2017071502A1 (zh) 一种基于人脸识别的车辆控制系统
US11243613B2 (en) Smart tutorial for gesture control system
CN108725357B (zh) 基于人脸识别的参数控制方法、系统与云端服务器
JP4305289B2 (ja) 車両用制御装置およびその装置を備える車両用制御システム
US9942522B2 (en) In-vehicle camera system
US20170349027A1 (en) System for controlling vehicle climate of an autonomous vehicle socially
CN106469295A (zh) 用于提高乘员安全性的车辆控制系统
US11904779B2 (en) Interior camera system for a self driving car
DE102018107047A1 (de) Kabinenreinigung/-spülung für fahrzeugbelüftungs- und kühlsystem
CN112519675B (zh) 车辆用化妆镜的使用方法和系统
US10666901B1 (en) System for soothing an occupant in a vehicle
CN110654345A (zh) 车辆控制方法、装置及车辆
WO2022227028A1 (zh) 车载显示装置的控制方法、控制装置、电子设备、车辆
US20200339137A1 (en) Control device for motor vehicle, motor vehicle, associated control method and computer program
WO2021254141A1 (zh) 一种车辆交互方法和一种车辆
GB2525039A (en) An audio-visual communications system integrated into a vehicle
US11485389B2 (en) Vehicle control method
JP2017095008A (ja) 制御装置、制御方法、及び、プログラム
JP2022105997A (ja) 乗員識別機能を備えた個人化された運転
GB2549582A (en) An audio-visual communications system integrated into a vehicle
WO2022270234A1 (ja) 移動体用装置及び移動体用制御方法
CN112347839B (zh) 提高的重点照明
JP2020100351A (ja) 制御装置、およびデバイス設定変更システム
CN220363321U (zh) 一种车载自学习座舱和车辆
JP7302533B2 (ja) サーバ装置、情報処理システム、制御装置、乗合車両、及び情報処理システムの動作方法

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: 16858937

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 2016858937

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 2018521417

Country of ref document: JP

WWE Wipo information: entry into national phase

Ref document number: 15771604

Country of ref document: US

NENP Non-entry into the national phase

Ref country code: DE