An automatic driving restraint system and method based on driving behavior detection

Abstract

The present invention relates to an automatic driving restraint system and method based on driving behavior detection, the method comprising the following steps: 1) completing learning and assessment, and activating the automatic driving function; 2) obtaining driving behavior information; 3) scoring the driving behavior information in the cloud, and determining whether to continue to activate the automatic driving function based on the score. The method of the present invention proposes that before using the automatic driving function, the driver must first pass the learning and question-answering assessment of the automatic driving operation specifications to ensure that the driver understands and masters the automatic driving function; in addition, when using the automatic driving function, the system monitors and scores the driver's driving behavior in real time. When the score is too low, the automatic driving function is directly turned off, and the driver is required to re-learn and re-assess to unlock it, which can effectively restrain the driver's bad driving habits; it can prevent the driver from misusing, abusing, and over-relying on the automatic driving function, thereby improving the safety of automatic driving.

Description

Technical Field

[0001] The present invention belongs to the technical field of automatic driving of automobiles, and specifically relates to an automatic driving restraint system and method based on driving behavior detection. Background Art

[0002] With the development of intelligent vehicles, more and more cars are equipped with autonomous driving functions. Currently, the more mature L2 autonomous driving function has been widely used around the world. It can control the longitudinal speed of the vehicle by controlling the brakes and accelerator, and can also control the vehicle's steering by controlling the rotation of the steering wheel, thus freeing the driver's hands and feet, reducing the driver's driving burden, and improving active driving safety.

[0003] Currently, autonomous driving features are not yet fully mature, and true autonomous driving will be difficult to achieve for some time to come. In many driving scenarios, all commercially available autonomous driving features still require driver cooperation for safe driving. If drivers fail to comply with or abuse autonomous driving features, becoming heavily reliant on them, accidents can easily occur when encountering complex driving scenarios that the features cannot fully handle. Chinese Patent CN202010941814.0, "Autonomous Driving Learning Method, Vehicle, and Readable Storage Medium," proposes that autonomous driving learning be conducted while the vehicle is not in motion. This approach changes the previous practice of requiring autonomous driving features to be learned only while driving, allowing the driver to focus more during autonomous driving and reducing the likelihood of accidents. Chinese Patent CN202011318762.8, "A Method for Identifying Abnormal Driving Behavior Based on Vehicle and Driver Status," monitors the driver's driving status in real time. When an anomaly occurs, it automatically engages autonomous driving or alerts the driver, ensuring safe driving. However, neither of these solutions effectively constrains the driver's driving behavior during autonomous driving, making accidents more likely.

[0004] Therefore, it is necessary to propose a method for constraining driving behavior and strengthening autonomous driving learning to ensure that drivers use autonomous driving functions in a standardized manner and avoid traffic accidents caused by drivers' excessive trust in autonomous driving functions and their abuse and misuse of autonomous driving functions. Summary of the Invention

[0005] In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is to provide an automatic driving restraint system and method based on driving behavior detection, so as to solve the current problem that traffic accidents are easily caused by drivers' improper use of automatic driving functions, and to achieve the effect of effectively restraining driving behavior and improving driving safety.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0007] An automatic driving restraint system based on driving behavior detection includes a cloud, a behavior detection module mounted on a vehicle, and a vehicle computer, wherein the vehicle computer and the cloud are wirelessly connected, and the behavior detection module is communicatively connected to the vehicle computer;

[0008] The behavior detection module is used to obtain the driver's driving behavior information and transmit it to the vehicle computer; the vehicle computer is used for the driver to learn and evaluate the autonomous driving operation specifications, to receive driving behavior information and upload it to the cloud, to receive control instructions issued by the cloud and to control the automatic driving function to be turned on or off; the cloud is used to receive driving behavior information and issue control instructions based on the driving behavior information.

[0009] Furthermore, the driving behavior information includes facial behavior information, steering behavior information, and braking behavior information.

[0010] Furthermore, the behavior detection module includes a DMS system, an EPS system, and an ESC system; the DMS system uses a camera to obtain facial behavior information, the EPS system uses an angle sensor and a steering wheel torque sensor to obtain steering behavior information, and the ESC system uses a pedal sensor to obtain braking behavior information.

[0011] Furthermore, it also includes a gateway, which is connected to the vehicle computer, DMS system, EPS system and ESC system through the CAN bus.

[0012] Furthermore, it also includes an instrument, which is connected to the vehicle computer via a CAN bus communication, and the instrument is used to display whether the automatic driving function is on or off.

[0013] Furthermore, it also includes an automatic driving controller, which is connected to the gateway through the CAN bus. The vehicle computer controls the automatic driving function to be turned on or off through the automatic driving controller.

[0014] A method for restraining an autonomous driving system based on driving behavior detection, using the aforementioned autonomous driving restraint system based on driving behavior detection, comprises the following steps:

[0015] 1) Complete the study and assessment of the autonomous driving operating specifications on the vehicle computer, and the vehicle computer controls the autonomous driving function to be turned on;

[0016] 2) The behavior detection module obtains the driver's driving behavior information and transmits it to the vehicle computer, which then transmits the driving behavior information to the cloud;

[0017] 3) The cloud scores the driver's driving behavior based on the driving behavior information. If the score is lower than the preset threshold, step 4 is executed; if the score is within the preset threshold or higher than the preset threshold, step 5 is executed.

[0018] 4) The cloud sends a control command to the vehicle computer to turn off the autonomous driving function. The vehicle computer turns off the autonomous driving function and jumps to step 1.

[0019] 5) The cloud sends a control command to the vehicle computer to keep the automatic driving function turned on, and the vehicle computer keeps the automatic driving function turned on.

[0020] Furthermore, the operation of the behavior detection module in step 2) acquiring the driver's driving behavior information is as follows:

[0021] The DMS system uses cameras to obtain facial behavior information, the EPS system uses angle sensors and steering wheel torque sensors to obtain steering behavior information, and the ESC system uses pedal sensors to obtain braking behavior information.

[0022] Furthermore, in step 3), if the score is higher than the preset threshold, the cloud will also mark the vehicle as a push target for subsequent autonomous driving functions.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. The autonomous driving restraint system based on driving behavior detection described in the present invention requires drivers to pass a learning and question-answering assessment on the autonomous driving operating specifications on the vehicle computer before using the autonomous driving function. This restricts the driver, raises the usage threshold, and ensures that the driver understands and masters the autonomous driving function.

[0025] 2. The present invention describes an automatic driving restraint system based on driving behavior detection. When the automatic driving function is used, the system monitors the driver's driving behavior in real time and scores the driver's driving behavior through the cloud. When the score is too low, the automatic driving function is directly turned off, and the driver is required to unlock it again through learning and assessment. This can effectively restrain the driver's bad driving habits, thereby preventing the automatic driving function from being misused and abused, reducing the driver's dependence on the automatic driving function, and improving the safety of automatic driving.

[0026] 3. The autonomous driving restraint method based on driving behavior detection described in the present invention is based on the autonomous driving restraint system. It monitors the driver's driving behavior over a long period of time in the background and scientifically and strictly scores the driver's behavior to ensure the driver's safe driving behavior and habits, and reduce safety accidents caused by improper use of autonomous driving. In addition, the driver's behavior score can also be included in the personal behavior specification database. The system will prioritize or restrict the push of new high-level autonomous driving functions based on the driver's score. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 1 is a structural block diagram of an automatic driving restraint system based on driving behavior detection according to an embodiment;

[0028] Figure 2 The present invention is a flowchart of an automatic driving constraint method based on driving behavior detection in an embodiment. DETAILED DESCRIPTION

[0029] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0030] Example:

[0031] See Figure 1 , an automatic driving restraint system based on driving behavior detection, including a cloud, a behavior detection module mounted on a vehicle and a vehicle computer, the vehicle computer and the cloud are wirelessly connected, and the behavior detection module is communicatively connected to the vehicle computer;

[0032] The behavior detection module is used to obtain the driver's driving behavior information and transmit it to the vehicle computer; the vehicle computer is used for the driver to learn and evaluate the autonomous driving operation specifications, to receive driving behavior information and upload it to the cloud, to receive control instructions issued by the cloud and to control the automatic driving function to be turned on or off; the cloud is used to receive driving behavior information and issue control instructions based on the driving behavior information.

[0033] Among them, driving behavior information includes facial behavior information, steering behavior information and braking behavior information; correspondingly, the behavior detection module includes the DMS system (driving fatigue detection system), EPS system (electronic assisted steering system) and ESC system (electronic stability control system); the DMS system uses the camera to obtain facial behavior information (that is, using the camera to monitor the driver's eyes and face, through) visual image analysis, to confirm whether the driver is distracted, tired, making phone calls, smoking, etc.), the EPS system uses the angle sensor and steering wheel torque sensor to obtain steering behavior information (that is, the data feedback from the angle sensor and steering wheel torque sensor is used to judge the driver's control status of the steering wheel), and the ESC system uses the pedal sensor to obtain braking behavior information (that is, the data feedback from the pedal sensor is used to confirm the driver's operation status of the accelerator pedal and automatic pedal).

[0034] In this embodiment, the automatic driving restraint system also includes a gateway, an instrument and an automatic driving controller; the gateway is responsible for receiving and forwarding signals from various components in the automatic driving restraint system; the gateway is communicated with the vehicle computer, DMS system, EPS system and ESC system respectively through the CAN bus; the vehicle computer and the instrument are both used for human-computer interaction between the driver and the automatic driving restraint system, reminding the driver of the current status of the automatic driving restraint system; the instrument is communicated with the vehicle computer through the CAN bus, and the instrument is used to display whether the automatic driving function is on or off; the automatic driving controller is communicated with the gateway through the CAN bus, and the vehicle computer controls the automatic driving function to be turned on or off through the automatic driving controller.

[0035] The present invention describes an automatic driving restraint system based on driving behavior detection. First, before using the automatic driving function, the driver must first pass the learning and answering assessment of the automatic driving operation specifications on the vehicle computer, restricting the driver, raising the usage threshold, and ensuring that the driver understands and masters the automatic driving function; secondly, when using the automatic driving function, the system monitors the driver's driving behavior in real time and scores the driver's driving behavior through the cloud. When the score is too low, the automatic driving function is directly turned off, and the driver is required to unlock it again through learning and assessment. This can effectively restrain the driver's bad driving habits, thereby avoiding the misuse and abuse of the automatic driving function, reducing the driver's dependence on the automatic driving function, and improving the safety of automatic driving.

[0036] The present invention also includes an automatic driving restraint method based on driving behavior detection, using the automatic driving restraint system based on driving behavior detection as described above, comprising the following steps:

[0037] 1) Complete the study and assessment of the autonomous driving operating specifications on the vehicle computer, and the vehicle computer controls the autonomous driving function to be turned on;

[0038] 2) The behavior detection module obtains the driver's driving behavior information and transmits it to the vehicle computer, which then transmits the driving behavior information to the cloud. The behavior detection module obtains the driver's driving behavior information including the following: the DMS system uses a camera to obtain facial behavior information, the EPS system uses an angle sensor and a steering wheel torque sensor to obtain steering behavior information, and the ESC system uses a pedal sensor to obtain braking behavior information.

[0039] 3) The cloud scores the driver's driving behavior based on the driving behavior information. If the score is below the preset threshold, step 4 is executed; if the score is within or above the preset threshold, step 5 is executed; if the score is above the preset threshold, the cloud also marks the vehicle as a push target for subsequent autonomous driving functions.

[0040] 4) The cloud sends a control command to the vehicle computer to turn off the automatic driving function. The vehicle computer turns off the automatic driving function and jumps to step 1.

[0041] 5) The cloud sends a control command to the vehicle computer to keep the automatic driving function turned on, and the vehicle computer keeps the automatic driving function turned on.

[0042] In this embodiment, the criteria for scoring the driver's driving behavior based on the driving behavior information in step 3) are shown in the following table:

[0043]

[0044] During implementation, the parameters in the above table can be recalibrated according to actual tests and scenarios, and no specific restrictions are imposed here.

[0045] The autonomous driving restraint method based on driving behavior detection described in the present invention is based on the autonomous driving restraint system. It monitors the driver's driving behavior for a long time in the background and scientifically and strictly scores the driver's behavior to ensure the driver's safe driving behavior and habits, and reduce safety accidents caused by improper use of autonomous driving. In addition, the driver's behavior score can also be included in the personal behavior specification database, and the system will prioritize or limit the push of new high-level autonomous driving functions based on the driver's score.

[0046] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An autonomous driving constraint method based on driving behavior detection, characterized by: The autonomous driving restraint method is implemented based on an autonomous driving restraint system, which includes a cloud, a behavior detection module mounted on the vehicle, and a vehicle computer. The vehicle computer and the cloud are wirelessly connected, and the behavior detection module is communicatively connected to the vehicle computer. The behavior detection module is used to obtain the driver's driving behavior information and transmit it to the vehicle computer; the vehicle computer is used for the driver to learn and evaluate the autonomous driving operating specifications, to receive driving behavior information and upload it to the cloud, to receive control commands from the cloud and to control the activation or deactivation of the autonomous driving function; the cloud is used to receive driving behavior information and issue control commands based on the driving behavior information; The automatic driving constraint method comprises the following steps: 1) Complete the study and assessment of the autonomous driving operating specifications on the vehicle computer, and the vehicle computer controls the autonomous driving function to be turned on; 2) The behavior detection module obtains the driver's driving behavior information and transmits it to the vehicle computer, which then transmits the driving behavior information to the cloud; 3) The cloud scores the driver's driving behavior based on the driving behavior information. If the score is lower than the preset threshold, step 4 is executed; if the score is within the preset threshold or higher than the preset threshold, step 5 is executed. 4) The cloud sends a control command to the vehicle computer to turn off the autonomous driving function. The vehicle computer turns off the autonomous driving function and jumps to step 1. 5) The cloud sends a control command to the vehicle computer to keep the automatic driving function turned on, and the vehicle computer keeps the automatic driving function turned on; Driving behavior information includes facial behavior information, steering behavior information, and braking behavior information; The behavior detection module includes the DMS system, EPS system, and ESC system; the DMS system uses a camera to obtain facial behavior information, the EPS system uses an angle sensor and a steering wheel torque sensor to obtain steering behavior information, and the ESC system uses a pedal sensor to obtain braking behavior information; The operation of the behavior detection module in step 2) to obtain the driver's driving behavior information is as follows: The DMS system uses a camera to obtain facial behavior information, the EPS system uses an angle sensor and a steering wheel torque sensor to obtain steering behavior information, and the ESC system uses a pedal sensor to obtain braking behavior information; In step 3), if the score is higher than the preset threshold, the cloud will also mark the car as a push target for subsequent autonomous driving functions.

2. The autonomous driving constraint method based on driving behavior detection according to claim 1, characterized in that: It also includes a gateway, which communicates with the vehicle computer, DMS system, EPS system and ESC system through the CAN bus.

3. The autonomous driving constraint method based on driving behavior detection according to claim 2, characterized in that: It also includes an instrument, which is connected to the vehicle computer via a CAN bus communication. The instrument is used to display whether the automatic driving function is on or off.

4. The autonomous driving constraint method based on driving behavior detection according to claim 3, characterized in that: It also includes an automatic driving controller, which is connected to the gateway through the CAN bus. The vehicle computer controls the automatic driving function to be turned on or off through the automatic driving controller.

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