WO2016112517A1 - 车载智能检测方法及*** - Google Patents

车载智能检测方法及*** Download PDF

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Publication number
WO2016112517A1
WO2016112517A1 PCT/CN2015/070794 CN2015070794W WO2016112517A1 WO 2016112517 A1 WO2016112517 A1 WO 2016112517A1 CN 2015070794 W CN2015070794 W CN 2015070794W WO 2016112517 A1 WO2016112517 A1 WO 2016112517A1
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Prior art keywords
image
fingerprint
vehicle
fingerprint information
distance
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PCT/CN2015/070794
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English (en)
French (fr)
Inventor
张黎君
熊胜峰
叶培锋
郑旭升
田辉
朱晨露
Original Assignee
深圳市三木通信技术有限公司
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Application filed by 深圳市三木通信技术有限公司 filed Critical 深圳市三木通信技术有限公司
Priority to CN201580000004.2A priority Critical patent/CN104602975B/zh
Priority to PCT/CN2015/070794 priority patent/WO2016112517A1/zh
Publication of WO2016112517A1 publication Critical patent/WO2016112517A1/zh

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/20—Means to switch the anti-theft system on or off
    • B60R25/25—Means to switch the anti-theft system on or off using biometry
    • B60R25/252—Fingerprint recognition
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
    • B60R25/20—Means to switch the anti-theft system on or off
    • B60R25/25—Means to switch the anti-theft system on or off using biometry

Definitions

  • the invention belongs to the field of vehicle communication, and particularly relates to a vehicle intelligent detection method and system.
  • In-vehicle electronics are electronic systems and products used in automobiles to increase the functionality of automobiles.
  • Car electronics including car audio Systems, navigation systems, automotive information systems and in-vehicle home appliances, on-board computers (Car PCs), in-vehicle networks and cruise systems transform cars into a new IT and communications center, while car audio, car TV The car refrigerator and the like also satisfy the user's need for the vehicle home appliance.
  • Car audio is the most popular device in car electronics, and product replacement is an important driving force for market development.
  • An object of the present invention is to provide a vehicle-mounted intelligent detection method that solves the problem of poor security in the prior art.
  • an in-vehicle intelligent detection method includes:
  • the comparison is successful, start the car. Otherwise, the user is prompted to input the fingerprint here. In this case, the fingerprint is compared. If the comparison is successful, the vehicle is started. If the secondary comparison fails, the alarm is issued.
  • the foregoing method further includes before 103:
  • the fingerprint information is complete fingerprint information, for example, the fingerprint information is non-continuous fingerprint information
  • extract the discontinuous point of the non-continuous fingerprint information and fit the adjacent discontinuous points into a discontinuous point overall connection by using a straight line connection.
  • the fingerprint image connection at both ends of the discontinuous point in the non-continuous fingerprint information is fitted into continuous fingerprint information.
  • the method further includes:
  • the image of the front end of the vehicle is obtained by the head camera, and the front end image is compared and analyzed to obtain the distance between the image object and the vehicle. If the distance is low and the threshold is reached, an alarm is issued.
  • the comparing and analyzing the front end image to obtain the distance between the image object and the vehicle specifically includes:
  • an in-vehicle intelligent detection system comprising:
  • the key comparison unit is configured to obtain the key information, and after the key information is successfully compared, the door is opened;
  • the startup unit is configured to start the central control system, and obtain the fingerprint information of the user by using a fingerprint identifier that is activated by a button;
  • a fingerprint matching unit configured to compare fingerprint information with a pre-stored library fingerprint
  • the starting unit is judged to start the car after the comparison is successful. Otherwise, the user is prompted to input a fingerprint here, and the fingerprint is compared here. If the comparison is successful, the vehicle is started, and if the secondary comparison fails, an alarm is issued.
  • system further includes:
  • the fingerprint fitting unit is configured to determine whether the fingerprint information is complete fingerprint information, such as the fingerprint information is non-continuous fingerprint information, extract the discontinuous point of the non-continuous fingerprint information, and fit the adjacent discontinuous points into a line by a straight line connection.
  • the intermittent point is connected as a whole, and the whole connection of the intermittent point is determined to be a straight line or an arc, the fingerprint image connection at both ends of the discontinuous point in the non-continuous fingerprint information is fitted into continuous fingerprint information.
  • system further includes:
  • the distance detecting unit is configured to acquire the image of the front end of the vehicle through the head camera, and compare and analyze the front end image to obtain the distance between the image object and the vehicle, and if the distance is low and the threshold value, an alarm is issued.
  • the distance detecting unit is specifically configured to:
  • the technical solution provided by the technical solution provided by the present invention provides a brand-new vehicle-mounted intelligent detection solution, which improves the safety of the vehicle, so that it has the advantage of high security.
  • FIG. 1 is a flow chart of a vehicle-mounted intelligent detection method provided by the present invention
  • Fig. 2 is a structural diagram of an in-vehicle intelligent detecting system provided by the present invention.
  • a specific embodiment of the present invention provides an in-vehicle intelligent detection method, which is shown in FIG. 1 and includes:
  • the comparison is successful, start the car. Otherwise, the user is prompted to input the fingerprint here. In this case, the fingerprint is compared. If the comparison is successful, the vehicle is started. If the secondary comparison fails, the alarm is issued.
  • the vehicle-mounted intelligent detection method provided by the invention starts the central control system in advance, so that the fingerprint comparison can be directly performed, because for everyone, the start of the central control is relatively slow, so in this way, the speed of the user's departure can be accelerated, and Further identification by fingerprints can improve the safety of the car.
  • the foregoing method may further include before 103:
  • the fingerprint information is complete fingerprint information, for example, the fingerprint information is non-continuous fingerprint information
  • extract the discontinuous point of the non-continuous fingerprint information and fit the adjacent discontinuous points into a discontinuous point overall connection by using a straight line connection.
  • the fingerprint image connection at both ends of the discontinuous point in the non-continuous fingerprint information is fitted into continuous fingerprint information.
  • This setting is to enable the user to identify the fingerprint when the fingerprint is injured. It has been found through research that most of the wounds are regularly connected due to the position of the finger. For example, the knife edge is generally a straight line, for example, The wound is an arc, and few wounds are irregularly shaped. Therefore, in order to prevent the user from being able to start the car due to a finger injury, the fingerprint fitting method is used to judge whether the intermittent point connection belongs to Regular straight lines or arcs can achieve the fitting of continuous fingerprints, which always improves the accuracy of recognition.
  • the method may further include:
  • the image of the front end of the vehicle is obtained by the head camera, and the front end image is compared and analyzed to obtain the distance between the image object and the vehicle. If the distance is low and the threshold is reached, an alarm is issued.
  • the foregoing comparing and analyzing the front end image to obtain the distance between the image object and the vehicle specifically includes:
  • V Extracting a complete reference object from the two frames before and after, obtaining the size of the image reference in the two frames before and after, and subtracting the length of the reference object of the previous frame from the length of the reference image of the back frame image to obtain the length change amount;
  • the horizontal distance between the edge of the image and the edge of the largest reference object in the back frame L2 , the distance between image physics and the vehicle L1 L2*cot(acrtan (length change / (vehicle speed * interval between two frames))) .
  • the complete reference above refers to a reference having a complete boundary in a single frame image, such as a license plate.
  • the embodiment of the present invention further provides an in-vehicle intelligent detection system, as shown in FIG. 2, the system includes:
  • the key comparison unit 201 is configured to acquire the key information, and after the key information is successfully compared, open the door;
  • the startup unit 202 is configured to start the central control system, and acquire the fingerprint information of the user by using a fingerprint identifier that is activated by a key;
  • the fingerprint matching unit 203 is configured to compare the fingerprint information with a pre-stored library fingerprint
  • the determining start unit 204 is configured to start the car after the comparison is successful, otherwise, the user is prompted to input a fingerprint here, and the fingerprint is compared here, for example, if the comparison is successful, the vehicle is started, and if the secondary comparison fails, an alarm is issued.
  • system further includes:
  • the fingerprint fitting unit 205 is configured to determine whether the fingerprint information is complete fingerprint information, such as the fingerprint information is non-continuous fingerprint information, extract the discontinuous point of the non-continuous fingerprint information, and fit the adjacent discontinuous points into a straight line connection.
  • a discontinuous point is connected to the whole line.
  • the distance detecting unit 206 is configured to obtain an image of the front end of the vehicle through the head camera, and perform comparative analysis on the front end image to obtain a distance between the image object and the vehicle, and if the distance is low and a threshold, an alarm is issued.
  • the distance detecting unit 206 is specifically configured to:

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  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Mechanical Engineering (AREA)
  • Lock And Its Accessories (AREA)
  • Emergency Alarm Devices (AREA)
  • Burglar Alarm Systems (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

一种车载智能检测方法，包括：获取钥匙信息，将钥匙信息比对成功后，打开车门（101）；启动中控***，通过一键启动的指纹识别器获取用户的指纹信息（102）；将指纹信息与预先存储的图库指纹进行比对（103）；当对比成功后，启动汽车，否则，提示用户在此输入指纹，再次比对指纹，如比对成功，启动汽车，如二次比对失败，则报警（104）。该车载智能检测方法提高了车辆的安全性。

Description

车载智能检测方法及*** 技术领域
本发明属于车载通信领域，尤其涉及一种车载智能检测方法及***。
背景技术
车载电子是汽车上用于增加汽车功能性的电子***和产品。车载电子包括 车载音响 ***、导航***、汽车信息***和车载家电产品等，车载电脑（ Car PC ）、车载网络和巡航***将汽车变为一个新的 IT 和通讯中心，而车载音响、 车载电视 、车载冰箱等也满足了用户对车载家电设备的需要。车载音响是车载电子产品中普及率最高的设备，产品更新换代是市场发展的重要动力。
现有的车载电子虽然很多，但是大多数是为了增加用户的体验，对于用户检测和验证的设备比较少，例如，现在的无钥匙启动***，即俗称的一键启动，该启动的验证实际完全靠无线钥匙的匹配 ，对于由何人来完成启动是没有要求的，所以当用户的钥匙丢失时，任何人拿着其钥匙都能够轻松的将车开走，所以现有的车载电子的检测性能不完善，车辆安全性仅仅只靠钥匙单方面保护。
 技术问题
本发明实施例目的 在于提供 一种车载智能检测方法，解决现有技术的安全性差的问题。
技术解决方案
本发明实施例是这样实现的， 一种 车载智能检测方法，所述方法包括：
101 、获取钥匙信息，将钥匙信息比对成功后，打开车门；
102 、启动中控***，通过一键启动的指纹识别器获取用户的指纹信息；
103 、将指纹信息与预先存储的图库指纹进行比对；
104 、当对比成功后，启动汽车，否则，提示用户在此输入指纹，在此比对指纹，如比对成功，启动汽车，如二次比对失败，则报警。
可选的，上述方法在103之前还包括：
判断指纹信息是否为完整的指纹信息，如指纹信息为非连续的指纹信息，提取非连续指纹信息的断续点，将相邻断续点用直线连接拟合成一个断续点整体连线，判断断续点整体连线属于直线或弧线时，将非连续的指纹信息中的断续点两端的指纹图像连接拟合成连续的指纹信息。
可选的，上述方法在104之后，还包括：
通过头部摄像头获取车辆前端图像，对前端图像进行对比分析获取图像物体与车辆的距离，如距离低与阈值，则发出报警。
可选的，所述对前端图像进行对比分析获取图像物体与车辆的距离具体包括：
获取前后两帧的图像、前后两帧的间隔时间和车速 V ；将前后两帧图像中提取一个完整的参照物，获取前后两帧图像参照物中的尺寸，用后帧图像参照物的长度减去前帧图像参照物的长度得到长度变化量；获取后帧图像中点到后帧最大参照物最边缘之间的水平距离 L2 ，图像物理与车辆的距离 L1=L2*cot(acrtan( 长度变化量 /( 车速 * 两帧的间隔时间 ))) 。
另一方面，提供一种 车载智能检测***，所述***包括：
钥匙比对单元，用于获取钥匙信息，将钥匙信息比对成功后，打开车门；
启动单元，用于启动中控***，通过一键启动的指纹识别器获取用户的指纹信息；
指纹比对单元，用于将指纹信息与预先存储的图库指纹进行比对；
判断启动单元，用于当对比成功后，启动汽车，否则，提示用户在此输入指纹，在此比对指纹，如比对成功，启动汽车，如二次比对失败，则报警。
可选的，所述***还包括：
指纹拟合单元，用于判断指纹信息是否为完整的指纹信息，如指纹信息为非连续的指纹信息，提取非连续指纹信息的断续点，将相邻断续点用直线连接拟合成一个断续点整体连线，判断断续点整体连线属于直线或弧线时，将非连续的指纹信息中的断续点两端的指纹图像连接拟合成连续的指纹信息。
可选的，所述***还包括：
距离检测单元，用于通过头部摄像头获取车辆前端图像，对前端图像进行对比分析获取图像物体与车辆的距离，如距离低与阈值，则发出报警。
可选的，所述距离检测单元具体用于
获取前后两帧的图像、前后两帧的间隔时间和车速 V ；将前后两帧图像中提取一个完整的参照物，获取前后两帧图像参照物中的尺寸，用后帧图像参照物的长度减去前帧图像参照物的长度得到长度变化量；获取后帧图像中点到后帧最大参照物最边缘之间的水平距离 L2 ，图像物理与车辆的距离 L1=L2*cot(acrtan( 长度变化量 /( 车速 * 两帧的间隔时间 ))) 。
 有益效果
在本发明实施例中，本发明提供的技术方案提供的技术方案提供一种全新的车载智能检测方案，提高了车辆的安全性，所以其具有安全性高的 优点 。
附图说明
图 1 是本发明 提供的 一 种 车载智能检测方法 的流程 图 ；
图 2 是本发明提供的 车载智能检测*** 的结构图。
 本发明的实施方式
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本发明具体实施方式提供一种 车载智能检测方法，该方法如图 1 所示，包括：
101 、获取钥匙信息，将钥匙信息比对成功后，打开车门；
102 、启动中控***，通过一键启动的指纹识别器获取用户的指纹信息；
103 、将指纹信息与预先存储的图库指纹进行比对；
104 、当对比成功后，启动汽车，否则，提示用户在此输入指纹，在此比对指纹，如比对成功，启动汽车，如二次比对失败，则报警。
本发明提供的车载智能检测方法提前启动中控***，这样可以直接进行指纹的比对，因为对于大家来说，中控的启动比较慢，所以通过此种方式可以加快用户发车的速度，另外，通过指纹来进行进一步识别，可以提高汽车的安全性。
可选的，上述方法在103之前还可以包括：
判断指纹信息是否为完整的指纹信息，如指纹信息为非连续的指纹信息，提取非连续指纹信息的断续点，将相邻断续点用直线连接拟合成一个断续点整体连线，判断断续点整体连线属于直线或弧线时，将非连续的指纹信息中的断续点两端的指纹图像连接拟合成连续的指纹信息。
通过此种设置是为了使得用户在指纹受伤时也能够进行指纹的识别，通过研究发现，由于手指的位置所限，大部分受伤的伤口均为规则的连线，例如刀口一般为直线，例如有的伤口为弧线，很少有伤口为不规则形状的，所以针对此种情况，为了避免用户因为手指受伤而无法启动汽车，则通过指纹拟合的方式，通过判断断续点连线是否属于规则的直线或弧线即可以实现连续指纹的拟合，从来提高识别的精度。
可选的，上述方法在104之后，还可以包括：
通过头部摄像头获取车辆前端图像，对前端图像进行对比分析获取图像物体与车辆的距离，如距离低与阈值，则发出报警。
可选的，上述对前端图像进行对比分析获取图像物体与车辆的距离具体包括：
获取前后两帧的图像、前后两帧的间隔时间和车速 V ；将前后两帧图像中提取一个完整的参照物，获取前后两帧图像参照物中的尺寸，用后帧图像参照物的长度减去前帧图像参照物的长度得到长度变化量；获取后帧图像中点到后帧最大参照物最边缘之间的水平距离 L2 ，图像物理与车辆的距离 L1=L2*cot(acrtan( 长度变化量 /( 车速 * 两帧的间隔时间 ))) 。上述的完整的参照物指的是在单帧图像中具有完整边界的参照物，例如车牌。
本发明具体实施方式还提供一种 车载智能检测***，所述***如图 2 所示，包括：
钥匙比对单元201，用于获取钥匙信息，将钥匙信息比对成功后，打开车门；
启动单元202，用于启动中控***，通过一键启动的指纹识别器获取用户的指纹信息；
指纹比对单元203，用于将指纹信息与预先存储的图库指纹进行比对；
判断启动单元204，用于当对比成功后，启动汽车，否则，提示用户在此输入指纹，在此比对指纹，如比对成功，启动汽车，如二次比对失败，则报警。
可选的，所述***还包括：
指纹拟合单元205，用于判断指纹信息是否为完整的指纹信息，如指纹信息为非连续的指纹信息，提取非连续指纹信息的断续点，将相邻断续点用直线连接拟合成一个断续点整体连线，判断断续点整体连线属于直线或弧线时，将非连续的指纹信息中的断续点两端的指纹图像连接拟合成连续的指纹信息。
可选的，距离检测单元206，用于通过头部摄像头获取车辆前端图像，对前端图像进行对比分析获取图像物体与车辆的距离，如距离低与阈值，则发出报警。
可选的，距离检测单元206具体用于
获取前后两帧的图像、前后两帧的间隔时间和车速 V ；将前后两帧图像中提取一个完整的参照物，获取前后两帧图像参照物中的尺寸，用后帧图像参照物的长度减去前帧图像参照物的长度得到长度变化量；获取后帧图像中点到后帧最大参照物最边缘之间的水平距离 L2 ，图像物理与车辆的距离 L1=L2*cot(acrtan( 长度变化量 /( 车速 * 两帧的间隔时间 ))) 。
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。

Claims (8)

  1. 一种 车载智能检测方法，其特征在于，所述方法包括：
    101 、获取钥匙信息，将钥匙信息比对成功后，打开车门；
    102 、启动中控***，通过一键启动的指纹识别器获取用户的指纹信息；
    103 、将指纹信息与预先存储的图库指纹进行比对；
    104 、当对比成功后，启动汽车，否则，提示用户在此输入指纹，在此比对指纹，如比对成功，启动汽车，如二次比对失败，则报警。
  2. 根据权利要求1所述的方法，其特征在于，所述方法在103之前还包括：
    判断指纹信息是否为完整的指纹信息，如指纹信息为非连续的指纹信息，提取非连续指纹信息的断续点，将相邻断续点用直线连接拟合成一个断续点整体连线，判断断续点整体连线属于直线或弧线时，将非连续的指纹信息中的断续点两端的指纹图像连接拟合成连续的指纹信息。
  3. 根据权利要求1所述的方法，其特征在于，所述方法在104之后，还包括：
    通过头部摄像头获取车辆前端图像，对前端图像进行对比分析获取图像物体与车辆的距离，如距离低与阈值，则发出报警。
  4. 根据权利要求1所述的方法，其特征在于，所述对前端图像进行对比分析获取图像物体与车辆的距离具体包括：
    获取前后两帧的图像、前后两帧的间隔时间和车速 V ；将前后两帧图像中提取一个完整的参照物，获取前后两帧图像参照物中的尺寸，用后帧图像参照物的长度减去前帧图像参照物的长度得到长度变化量；获取后帧图像中点到后帧最大参照物最边缘之间的水平距离 L2 ，图像物理与车辆的距离 L1=L2*cot(acrtan( 长度变化量 /( 车速 * 两帧的间隔时间 ))) 。
  5. 一种 车载智能检测***，其特征在于，所述***包括：
    钥匙比对单元，用于获取钥匙信息，将钥匙信息比对成功后，打开车门；
    启动单元，用于启动中控***，通过一键启动的指纹识别器获取用户的指纹信息；
    指纹比对单元，用于将指纹信息与预先存储的图库指纹进行比对；
    判断启动单元，用于当对比成功后，启动汽车，否则，提示用户在此输入指纹，在此比对指纹，如比对成功，启动汽车，如二次比对失败，则报警。
  6. 根据权利要求5所述的***，其特征在于，所述***还包括：
    指纹拟合单元，用于判断指纹信息是否为完整的指纹信息，如指纹信息为非连续的指纹信息，提取非连续指纹信息的断续点，将相邻断续点用直线连接拟合成一个断续点整体连线，判断断续点整体连线属于直线或弧线时，将非连续的指纹信息中的断续点两端的指纹图像连接拟合成连续的指纹信息。
  7. 根据权利要求5所述的***，其特征在于，所述***还包括：
    距离检测单元，用于通过头部摄像头获取车辆前端图像，对前端图像进行对比分析获取图像物体与车辆的距离，如距离低与阈值，则发出报警。
  8. 根据权利要求5所述的***，其特征在于，所述距离检测单元具体用于
    获取前后两帧的图像、前后两帧的间隔时间和车速 V ；将前后两帧图像中提取一个完整的参照物，获取前后两帧图像参照物中的尺寸，用后帧图像参照物的长度减去前帧图像参照物的长度得到长度变化量；获取后帧图像中点到后帧最大参照物最边缘之间的水平距离 L2 ，图像物理与车辆的距离 L1=L2*cot(acrtan( 长度变化量 /( 车速 * 两帧的间隔时间 ))) 。
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107264680A (zh) * 2017-06-06 2017-10-20 太仓诚泽网络科技有限公司 一种电动车智能防盗方法
CN115220991A (zh) * 2021-12-14 2022-10-21 广州汽车集团股份有限公司 数据监控方法、车载控制器及汽车

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016112517A1 (zh) * 2015-01-15 2016-07-21 深圳市三木通信技术有限公司 车载智能检测方法及***
CN105096430A (zh) * 2015-08-31 2015-11-25 宇龙计算机通信科技(深圳)有限公司 车门开启控制方法、装置及***
CN106314365A (zh) * 2016-08-29 2017-01-11 象山华鹰塑料工程有限公司 一种汽车防盗门***
JP6695774B2 (ja) * 2016-10-14 2020-05-20 株式会社東海理化電機製作所 生体認証併用電子キーシステム
CN107150659A (zh) * 2017-05-27 2017-09-12 吉利汽车研究院（宁波）有限公司 基于一键启动指纹识别的车辆防盗报警方法及其装置
CN107364423B (zh) * 2017-06-22 2020-07-24 吉利汽车研究院（宁波）有限公司 一种基于指纹识别的车辆控制***及控制方法
CN109591763A (zh) * 2017-09-30 2019-04-09 比亚迪股份有限公司 指纹识别装置及其控制***、控制方法和车辆
CN109291881B (zh) * 2018-11-27 2020-05-12 安徽江淮汽车集团股份有限公司 一种汽车指纹识别的管理方法
CN109849849A (zh) * 2018-12-04 2019-06-07 北京长城华冠汽车科技股份有限公司 指纹识别点火***、点火方法及车辆
CN110838196B (zh) * 2019-11-11 2020-12-15 珠海格力电器股份有限公司 智能门锁控制方法、智能门锁控制***及智能门锁
CN112150684A (zh) * 2020-09-11 2020-12-29 国网天津市电力公司 工作票和操作票关联的变电站用人脸识别门禁***及其识别方法
CN112440939A (zh) * 2020-11-11 2021-03-05 北汽福田汽车股份有限公司 一种车辆启动方法、装置、车辆和可读存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20030032062A (ko) * 2001-10-09 2003-04-26 주식회사 브라콤 지문인식을 이용한 차량 도난 방지 장치 및 방법
CN101391589A (zh) * 2008-10-30 2009-03-25 上海大学 车载智能报警方法和装置
CN202285410U (zh) * 2011-02-10 2012-06-27 内蒙古开妍电子科技有限公司 汽车网络智能管理***
CN102632848A (zh) * 2011-02-10 2012-08-15 内蒙古开妍电子科技有限公司 汽车网络智能管理***
CN103129523A (zh) * 2011-11-23 2013-06-05 上海博泰悦臻网络技术服务有限公司 汽车智能指纹锁装置及其汽车监控***
CN104602975A (zh) * 2015-01-15 2015-05-06 深圳市三木通信技术有限公司 车载智能检测方法及***

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19823707A1 (de) * 1998-01-14 1999-12-02 Bayerische Motoren Werke Ag Verfahren zum Betrieb eines Fahrzeugs
US6727800B1 (en) * 2000-11-01 2004-04-27 Iulius Vivant Dutu Keyless system for entry and operation of a vehicle
CN1327387C (zh) * 2004-07-13 2007-07-18 清华大学 指纹多特征识别方法
CN1603177A (zh) * 2004-11-19 2005-04-06 段广平 带指纹识别***的汽车防盗控制单元
CN101190678A (zh) * 2006-12-01 2008-06-04 黄智勇 一种汽车防借和防盗装置
CN101901331A (zh) * 2009-05-27 2010-12-01 上海点佰趣信息科技有限公司 断纹拼接方法
CN202422241U (zh) * 2011-12-01 2012-09-05 朱海建 一种汽车及汽车的生物活体指纹控制***
US9102299B2 (en) * 2011-12-21 2015-08-11 GM Global Technology Operations LLC System and method for determining driver identification by a remote device
CN103832405A (zh) * 2012-11-26 2014-06-04 上海市浦东新区惠南第二小学 一种多功能汽车
CN104129387B (zh) * 2014-07-25 2016-10-05 杭州电子科技大学 安全距离与碰撞时间权衡风险的单摄像头汽车防撞方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20030032062A (ko) * 2001-10-09 2003-04-26 주식회사 브라콤 지문인식을 이용한 차량 도난 방지 장치 및 방법
CN101391589A (zh) * 2008-10-30 2009-03-25 上海大学 车载智能报警方法和装置
CN202285410U (zh) * 2011-02-10 2012-06-27 内蒙古开妍电子科技有限公司 汽车网络智能管理***
CN102632848A (zh) * 2011-02-10 2012-08-15 内蒙古开妍电子科技有限公司 汽车网络智能管理***
CN103129523A (zh) * 2011-11-23 2013-06-05 上海博泰悦臻网络技术服务有限公司 汽车智能指纹锁装置及其汽车监控***
CN104602975A (zh) * 2015-01-15 2015-05-06 深圳市三木通信技术有限公司 车载智能检测方法及***

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107264680A (zh) * 2017-06-06 2017-10-20 太仓诚泽网络科技有限公司 一种电动车智能防盗方法
CN115220991A (zh) * 2021-12-14 2022-10-21 广州汽车集团股份有限公司 数据监控方法、车载控制器及汽车
CN115220991B (zh) * 2021-12-14 2024-01-19 广州汽车集团股份有限公司 数据监控方法、车载控制器及汽车

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