KR20210002070A - System for determining driver operating of autonomous vehicle and method therefore - Google Patents

Abstract

Disclosed are a system and a method for determining whether or not a driver of an autonomous driving vehicle intervenes. According to one embodiment of the present invention, the system for determining whether or not a driver of an autonomous driving vehicle intervenes comprises: a reception unit receiving vehicle data which is on-board diagnostics (OBD) data on control and operation of a vehicle, wherein the OBD data is collected from an OBD dongle; a checking unit checking a source that has ordered an operation command on driving of an autonomous driving vehicle through analysis of the received vehicle data; and a determination unit determining whether or not a driver intervenes by checking the source that has ordered the operation command.

Description

System for determining driver operating of autonomous vehicle and method therefore

The present invention relates to a technology for determining whether a driver is involved in an autonomous vehicle, and more specifically, whether a driver is involved based on vehicle data received from an On-Board Diagnostics (OBD) dongle connected to the autonomous vehicle. It relates to a system and a method capable of determining the.

With the development of advanced technology and the development of the IT industry, research and development and application of the unmanned industry are being made in various fields. In particular, the vehicle industry is transforming into an era of eco-friendly, high-tech vehicles incorporating recent IT technologies, and accident prevention, accident avoidance, collision safety, convenience improvement, vehicle information to increase driver safety and convenience with the development of vehicle technology. And intelligent vehicles to which autonomous driving technology is applied are commercially available.

These intelligent vehicles are vehicles that support convenience functions through support technology for driver's carelessness or inexperience in operation, voice recognition, etc., and not only reduce accidents caused by driver's negligence, but also reduce time, fuel waste, and exhaust gas. There are features that can be expected such as advantages.

Autonomous vehicles are a collection of intelligent vehicle technologies, and when a driver specifies a desired destination by boarding the vehicle, it can perform driving by generating an optimal route from the current location to the destination without performing any special manipulation afterwards.

In addition, it recognizes traffic signals or signs on the road, maintains an appropriate speed according to the traffic situation, recognizes fault conditions, and can actively respond to accident prevention, maintains its own lane, and, if necessary, changes lanes or overtaking, You can drive to your desired destination with proper steering to avoid obstacles.

As described above, a lot of research has recently been conducted on autonomous driving for autonomous vehicles, and the autonomous driving system uses GPS location information and signals acquired from various sensors based on road map information, from the start point to the end point on the road. It can be moved while automatically controlling the driving of the vehicle.

That is, the vehicle is capable of autonomous driving by identifying the surrounding environment of the vehicle through various types of sensors provided in the vehicle, and giving commands through various types of driving control units provided in the vehicle based on this.

Embodiments of the present invention provide a system and method capable of determining whether a driver is involved based on vehicle data received from an On-Board Diagnostics (OBD) dongle connected to an autonomous vehicle.

In the system for determining whether an autonomous vehicle intervenes with a driver according to an embodiment of the present invention, in the system for determining whether an autonomous vehicle intervenes with a driver, an OBD for vehicle manipulation and operation collected from an OBD (On-Board Diagnostics) dongle A receiving unit for receiving vehicle data as data; A verification unit for confirming a source that issued an operation command for driving of the autonomous vehicle through analysis of the received vehicle data; And a determination unit that determines whether or not a driver is involved through confirmation of a source that issued the operation command.

The verification unit may identify whether a source that issued an operation command for driving of the autonomous vehicle is from the driver or an autonomous driving agent through analysis of the vehicle data.

Further, the system for determining whether a driver is involved in an autonomous vehicle according to an embodiment of the present invention generates and provides intervention pattern information for the driver's intervention to the driver, and compares the intervention pattern information with preset reference information. It may further include a providing unit for providing a visual or audible alarm related to the driver's intervention.

The determination unit may evaluate the stability of autonomous driving based on situation information including at least one of weather, time, traffic conditions, and road information regarding whether or not devices necessary for autonomous driving of the autonomous vehicle are broken.

Furthermore, the system for determining whether a driver is involved in an autonomous vehicle according to an embodiment of the present invention provides the driver with recommendation information for recommending the driver's intervention when the stability of the autonomous driving is lower than a preset reference stability. May contain more wealth.

The determination unit may determine whether the driver intervenes in at least one of deceleration, acceleration, steering, gear shifting, and turn indicator operations of the autonomous vehicle, and an intervention time and intensity of intervention by the driver.

In the method of determining whether an autonomous vehicle intervenes with a driver according to an embodiment of the present invention, in the method of determining whether an autonomous vehicle intervenes with a driver, vehicle data, which is OBD data for vehicle manipulation and operation, collected from an OBD dongle is received. Step to do; Confirming a source that issued an operation command for driving of the autonomous vehicle through analysis of the received vehicle data; And determining whether or not the driver intervenes through confirmation of a source that issued the operation command.

The verifying step may identify whether a source that issued an operation command for driving of the autonomous vehicle is from the driver or an autonomous driving agent through the analysis of the vehicle data.

Further, in the method for determining whether a driver is involved in an autonomous vehicle according to an embodiment of the present invention, the intervention pattern information for the driver's intervention is generated and provided to the driver, and the intervention pattern information is compared with preset reference information. It may further include providing a visual or audible alarm related to the driver's intervention.

In the determining step, the stability of autonomous driving may be evaluated based on situation information including at least one of weather, time, traffic conditions, and road information for a current location and whether devices necessary for autonomous driving of the autonomous vehicle are broken. have.

Furthermore, the method for determining whether a driver is involved in an autonomous driving vehicle according to an embodiment of the present invention includes providing, to the driver, recommendation information for recommending the driver's intervention when the stability of the autonomous driving is less than a preset reference stability. It may further include.

The determining step may determine whether the driver intervenes in at least one of deceleration, acceleration, steering, gear shifting, and turn indicator operations of the autonomous vehicle, and an intervention time and intensity of intervention by the driver.

According to embodiments of the present invention, by analyzing vehicle data received from an On-Board Diagnostics (OBD) dongle connected to an autonomous vehicle and identifying a source that issued an operation command for autonomous driving, whether the operation command is from the driver or not. It is possible to identify whether it is from a driving agent, and through this, it is possible to determine whether or not the driver is involved in the autonomous vehicle.

According to embodiments of the present invention, when a failure occurs in devices related to autonomous driving, for example, a camera sensor, a radar, a lidar, or other ADAS (Advanced Driver Assistance Systems) devices, information about this is provided to the driver. By providing and recommending the driver's intervention, it is possible to prevent an accident that may occur in failure of the autonomous driving device.

1 is a diagram illustrating a relationship between an OBD dongle, a mobile device, and a server according to an embodiment of the present invention.
FIG. 2 is a block diagram of an embodiment for explaining the internal configuration of the mobile device and server shown in FIG. 1.
3 is a flowchart illustrating an operation of a method for determining whether a driver is involved in an autonomous vehicle according to an embodiment of the present invention.
4 is a diagram illustrating a configuration of a system for determining whether a driver is involved in an autonomous vehicle according to an embodiment of the present invention.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in a variety of different forms, only these embodiments make the disclosure of the present invention complete, and common knowledge in the technical field to which the present invention pertains. It is provided to completely inform the scope of the invention to those who have, and the invention is only defined by the scope of the claims.

The terms used in this specification are for describing exemplary embodiments, and are not intended to limit the present invention. In this specification, the singular form also includes the plural form unless specifically stated in the phrase. As used in the specification, "comprises" and/or "comprising" refers to the presence of one or more other components, steps, actions and/or elements, and/or elements, steps, actions and/or elements mentioned. Or does not preclude additions.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used as meanings that can be commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not interpreted ideally or excessively unless explicitly defined specifically.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. The same reference numerals are used for the same elements in the drawings, and duplicate descriptions for the same elements are omitted.

Embodiments of the present invention make it a gist of analyzing vehicle data, which is OBD data for vehicle manipulation and operation, collected from an OBD dongle attached or connected to an autonomous vehicle to determine whether a driver is involved in an autonomous vehicle.

Here, the present invention not only determines whether the driver is intervening through analysis of vehicle data, but also includes at least one of whether or not devices necessary for autonomous driving of an autonomous vehicle are broken, and weather, time, traffic conditions, and road information for the current location. In order to prevent accidents, the driver can intervene in the autonomous vehicle to prevent accidents by evaluating the stability of autonomous driving based on the situation information, and by providing the driver with recommended information recommending the driver's intervention when the stability of autonomous driving is less than the standard stability. You can even make it possible to drive.

1 is a diagram for explaining a relationship between an OBD dongle, a mobile device, and a server in a system according to an embodiment of the present invention.

Referring to FIG. 1, a system according to an embodiment of the present invention includes an OBD dongle 130, a mobile device 110 and a server 120. At this time, the OBD dongle 130 and the mobile device 110 may be capable of short-range wireless communication connection using Bluetooth, and the mobile device 110 and the server 120 may be Ethernet/3G, 4G, 5G. Wireless data communication connection such as, etc. may be possible.

The OBD dongle 130 provides OBD data (or vehicle data) collected from an On-Board Diagnostics (OBD) interface of an autonomous vehicle to the mobile device 110 through short-range wireless communication.

The OBD dongle 130 may be connected to an OBD interface in a vehicle using a connector including a plurality of pin arrangements and a communication method, and may collect OBD data generated from the OBD interface. In addition, the OBD dongle 130 may be mounted inside the vehicle to detect vehicle diagnosis information including sensor information and driving information as well as motion information in the vehicle. For example, the OBD dongle 130 includes whether the vehicle is running, vehicle speed, clock information, engine revolutions per minute (RPM), excel position, brake pedal position, engine coolant temperature, vehicle voltage, battery voltage, idling from the OBD interface. At least one or more of OBD data of time, fuel amount, fuel economy, vehicle identification number, gear position, turn indicators, seat belt presence, steering wheel steering angle, and accumulated distance may be collected. However, the OBD data collected by the OBD interface in the vehicle is not limited to the above.

According to an embodiment, the OBD dongle 130 may select vehicle data according to a driver's selection input that is preset or received through the mobile device 110 from among collected OBD data. For example, the OBD dongle 130 collects from the OBD interface whether the vehicle is running, vehicle speed, clock information, engine revolutions per minute (RPM), excel position, brake pedal position, engine coolant temperature, vehicle voltage, and battery voltage. , Idle time, fuel level, fuel economy, vehicle identification number, gear position, turn indicators, seat belt presence, steering wheel steering angle and OBD data of accumulated distance, any OBD data according to driver's selection input or preset data Only can be extracted, it can be provided to the mobile device 110 through short-range wireless communication.

In this case, the OBD data selected among the OBD data may be preset data, and may be selected by a control command (or command) according to a driver's selection input received through the mobile device 110. The present invention can also minimize overload and power consumption due to a large amount of information by extracting and using only data related to autonomous driving and data that allows the driver to intervene in autonomous driving from among a plurality of OBD data collected in the OBD interface. have.

The mobile device 110 provides vehicle data received from the OBD dongle 130 to the server 120, that is, a server for determining whether a driver is involved, and displays information or an alarm received from the server 120 on the screen. It can be displayed or output through a speaker.

In this case, the mobile device 110 is a mobile terminal device possessed by a driver who drives and owns a vehicle, and may be, for example, a PC, a mobile communication terminal, a smartphone, a note pad, a PDA or a tablet PC, and a wired/wireless communication module. It may be a mounted electronic device. In addition, the mobile device 110 may have an application related to the present invention installed, and may use data related to autonomous driving and driver intervention provided in the present invention through the application.

The mobile device 110 may receive a driver intervention pattern generated by the server 120 or receive and display statistical information. When the driver needs to intervene in autonomous driving, the mobile device 110 receives information about this from the server 120 It can also be displayed or provided audibly.

In addition, the determination of whether or not the driver is involved may be performed by the mobile device 110 instead of by the server 120. For example, the mobile device 110 may continuously collect vehicle data received from the OBD dongle 130 to learn driving patterns and driving habits due to driver intervention. For example, the mobile device 110 may learn a driver's sudden stop or sudden start based on speed information according to a change in a gear position, and when a lane is changed based on speed information according to a lane change on the left or right , The driver's driving pattern and driving habit may be learned, and the driver's speeding on a curved road may be learned based on speed information according to steering wheel manipulation. Furthermore, the mobile device 110 may recommend or deprecate whether the driver is involved in the autonomous vehicle by providing data related to the learned driving pattern and driving habit of the driver to the server 120.

Depending on the situation, the mobile device 110 may directly display vehicle data received from the OBD dongle 130.

The server 120 receives vehicle data, which is OBD data for vehicle manipulation and operation, collected from the OBD dongle 130 through the mobile device 110, and analyzes the received vehicle data when autonomous driving in an autonomous vehicle. Determine whether the driver is involved. For example, the server 120 identifies the source of the motion command related to autonomous driving through analysis of vehicle data, thereby identifying whether the motion command is from the driver or the autonomous driving agent, and whether the driver is involved. And the type of intervention can be determined. Of course, since the server 120 can determine whether the driver is involved through the analysis of the received data, when vehicle data is received from the OBD 130 dongle in real time, it may be performed in real time, or connected to the OBD dongle or the OBD dongle. After storing various data in the storage device, if the data is received at a certain period of time or at a driver's request, whether or not such a driver intervenes may be determined ex post.

In this case, the server 120 may analyze vehicle data, which is OBD data of the autonomous vehicle, to determine whether a driver is involved during autonomous driving, a driver's intervention time, and a driver's intervention intensity. Depending on the embodiment, the server 120 may determine whether the driver is involved in deceleration (brake), acceleration, steering, gear shifting, operation of turn indicators, etc., and the intensity of the driver's intervention is rapidly decelerated, accelerated, and rotated. This large rotation or the like can be judged as a strong intervention, and a minute steering (or steering wheel manipulation) can be judged as a weak intervention.

Furthermore, the server 120 may provide intervention pattern information to the driver by generating intervention pattern information on the driver's intervention during autonomous driving and providing the generated intervention pattern information to the mobile device 110. By comparing the pattern information with preset reference information and providing a visual or audible alarm related to the driver's intervention to the mobile device 110, information that may be generated by the driver's intervention during autonomous driving or information that requests the driver's intervention By providing a light, the driver may or may not intervene in autonomous driving. Of course, the generation and provision of such intervention pattern information may be performed in real time or at a predetermined period or at the request of a driver.

Furthermore, the server 120 statistically evaluates the autonomous driving of the autonomous vehicle or the stability of driving due to the driver's intervention, and may recommend or deprecate whether the driver is involved during the autonomous driving by statistical evaluation. have. That is, if it is determined that the situation is more stable when the driver's intervention is made according to statistics on autonomous driving, the server 120 can provide information recommending the driver's intervention to the mobile device 110, and there is no driver intervention. If it is determined that the situation is stable, information for deprecating the driver's intervention may be provided to the mobile device 110. Of course, the determination using these statistics is the degree of safety previously evaluated according to the driving route of the autonomous vehicle stored in advance for the driver, whether autonomous driving according to the location, or whether the driver is involved, according to the driving route or location, and whether the driver is involved. , If necessary, the accident history of the driver of the autonomous vehicle and the driver's intervention in the accident can be considered.

The server 120 is a device required for autonomous driving of an autonomous vehicle, such as a camera sensor, a radar, a lidar, and other ADAS (Advanced Driver Assistance Systems) devices. , The stability of autonomous driving may be evaluated based on situation information including at least one of traffic conditions and road information, and an alarm for recommending or deprecating driver intervention may be provided to the mobile device 110 based on the evaluated stability. have. At this time, the server 120 may provide and display information on the current state of a device required for autonomous driving, for example, whether a failure or accuracy, etc., through the analysis of OBD data to the mobile device 110.

FIG. 2 is a block diagram of an embodiment for explaining the internal configuration of the mobile device and server shown in FIG. 1. It is not limited to the configuration shown in FIG. 2, and may include various hardware configurations related to the present invention.

As shown in FIG. 2, the mobile device 110 and the server 120 include memories 211 and 221, processors 212 and 222, communication modules 213 and 223, and input/output interfaces 214 and 224. can do. The memories 211 and 221 are computer-readable recording media, and may include a permanent mass storage device such as a random access memory (RAM), a read only memory (ROM), and a disk drive. In addition, the memory 211 and 221 may store an operating system or at least one program code (for example, a code for an application installed and driven in the mobile device 110 ). These software components may be loaded from a computer-readable recording medium separate from the memories 211 and 221. Such a separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card. In another embodiment, software components may be loaded into the memories 211 and 221 through communication modules 213 and 223 other than a computer-readable recording medium. For example, at least one program may be loaded into the memories 211 and 221 based on a program installed by files provided by the file distribution system for distributing the installation files of the developers or applications through the network 170. I can.

The processors 212 and 222 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. The instructions may be provided to the processors 212 and 222 by the memories 211 and 221 or the communication modules 213 and 223. For example, the processors 212 and 222 may be configured to execute a command received according to a program code stored in a recording device such as the memories 211 and 221.

The communication modules 213 and 223 may provide a function for the mobile device 110 and the server 120 to communicate with each other through the network 170, and provide a function for communicating with other electronic devices or other servers. I can. As an example, a request generated by the processor 212 of the mobile device 110 according to a program code stored in a recording device such as the memory 211 is sent to the server 120 through the network 170 under the control of the communication module 213. ) Can be delivered. Conversely, control signals, commands, contents, files, etc. provided under the control of the processor 222 of the server 120 are transmitted via the communication module 223 and the network 170 to the communication module 213 of the mobile device 110. ) Through the mobile device 110. For example, the control signal or command of the server 120 received through the communication module 213 may be transmitted to the processor 212 or the memory 211, and the mobile device 110 further includes content or files. It may be stored in a storage medium that may contain.

The input/output interface 214 may be a means for an interface with the input/output device 215. For example, the input device may include a device such as a keyboard or a mouse, and the output device may include a device such as a display for displaying a communication session of an application. As another example, the input/output interface 214 may be a means for interfacing with a device in which input and output functions are integrated into one, such as a touch screen. As a more specific example, the processor 212 of the mobile device 110 may provide an input/output interface for a service screen or content configured using data provided by the server 120 in processing a command of a computer program loaded in the memory 211 It can be displayed on the display through 214. The input/output interface 224 can also output information configured using data provided by the server 120 when the processor 222 of the server 120 processes a command of a computer program loaded in the memory 221. have.

In addition, in other embodiments, the mobile device 110 and the server 120 may include more components than those of FIG. 2. However, there is no need to clearly show most of the prior art components. For example, the mobile device 110 may be implemented to include at least some of the input/output devices 215 described above, or other components such as a transceiver, a global positioning system (GPS) module, a camera, various sensors, and a database. May include more. As a more specific example, when the mobile device 110 is a smartphone, in general, an acceleration sensor or a gyro sensor included in the smartphone, a camera, various physical buttons, buttons using a touch panel, input/output ports, a vibrator for vibration, etc. It can be seen that various components of may be implemented to be further included in the mobile device 110.

3 is a flowchart illustrating an operation of a method for determining whether a driver is involved in an autonomous vehicle according to an embodiment of the present invention, and is a flowchart illustrating an operation in the server 120 shown in FIG. 1.

Referring to FIG. 3, the method according to an embodiment of the present invention receives vehicle data, which is OBD data for vehicle manipulation and operation, collected from an OBD dongle through a mobile device (S310).

Herein, step S310 has been described as receiving vehicle data through a mobile device, but is not limited thereto, and may be received directly from the OBD dongle.

When the vehicle data of the autonomous vehicle is received through step S310, the source that issued the operation command for the driving of the autonomous vehicle is checked through analysis of the vehicle data (S320).

Here, step S320 identifies whether the source of the operation command for driving the autonomous vehicle is from the driver or the autonomous driving agent through the analysis of the vehicle data, whereby the operation command for the autonomous driving of the autonomous vehicle is from I can see if it came.

When the source that issued the operation command for driving of the autonomous vehicle is identified in step S320, it is determined whether the driver is involved through the confirmation of the source that issued the operation command (S330).

That is, in step S330, if it is determined that the source of the operation command for the driving of the autonomous vehicle comes from the driver, it is determined as the driver's intervention during autonomous driving, and the driver's intervention time can be calculated, and the intervention for the driver's intervention. Strength can also be judged. For example, step S130 may be determined as a strong intervention when rapid deceleration, rapid acceleration, or rotation with a large rotation angle is performed due to the driver's intervention, and when a fine steering wheel operation is performed or acceleration or deceleration within a preset range is performed. The back can also be judged as a weak intervention.

If it is determined that the driver's intervention has been made in step S330, information related to this, for example, a problem that may be caused by the driver's intervention during autonomous driving of the autonomous vehicle or information changed by the intervention, is transmitted to the driver's mobile device. By providing this information, the driver can quickly check it.

In addition, the method according to the present invention evaluates the stability of the autonomous vehicle for autonomous driving, and when the evaluated stability is less than the preset reference stability, the mobile device provides recommendation information for recommending the driver's intervention, thereby providing the recommended information. Provided to the driver (S340).

Here, in step S340, devices necessary for autonomous driving of the autonomous vehicle, such as camera sensors, radar, lidar, and other ADAS devices, are malfunctioning and weather, time, traffic conditions and road information for the current location. The stability of autonomous driving can be evaluated based on the situation information such as.

Further, the method according to the present invention may provide information on a current state of a device required for autonomous driving, for example, whether a failure or not, accuracy, etc., to a mobile device through analysis of OBD data.

Furthermore, the method according to the present invention may provide intervention pattern information to the driver by generating intervention pattern information on the driver's intervention during autonomous driving and providing the generated intervention pattern information to the mobile device. By comparing the information with preset reference information and providing a visual or audible alarm related to the driver's intervention to the mobile device, information that may be generated by driver intervention during autonomous driving or information that requests the driver's intervention is provided. The driver may or may not intervene in autonomous driving.

Furthermore, the method according to the present invention statistically evaluates the autonomous driving of the autonomous vehicle or the stability of driving due to the driver's intervention, and recommends or deprecates whether the driver's intervention during autonomous driving is performed through statistical evaluation. May be. That is, the method according to the present invention can provide information recommending the driver's intervention to the mobile device when it is determined that the situation is more stable only when the driver's intervention is made according to statistics on autonomous driving, and the more stable situation when there is no driver's intervention. If it is determined that the driver's intervention is deprecated, information may be provided to the mobile device.

As described above, the method according to an embodiment of the present invention analyzes vehicle data received from an OBD dongle connected to an autonomous vehicle and identifies the source that issued the operation command for autonomous driving, so that whether the operation command is from the driver or not from the autonomous driving agent. It is possible to identify whether it is on, and through this, it is possible to determine whether the driver is involved in the autonomous vehicle.

In addition, the method according to an embodiment of the present invention provides information about a failure in devices related to autonomous driving, such as a camera sensor, radar, lidar, or other ADAS device, to the driver, and By recommending the intervention of the autonomous vehicle, it is possible to prevent an accident that may occur in the failure of the autonomous vehicle.

4 is a diagram illustrating a configuration of a system for determining whether a driver is involved in an autonomous vehicle according to an embodiment of the present invention, and illustrates a conceptual configuration of the server illustrated in FIG. 1.

Referring to FIG. 4, a system 400 according to an embodiment of the present invention includes a receiving unit 410, a checking unit 420, a determining unit 430, and a providing unit 440.

The receiving unit 410 receives vehicle data, which is OBD data for vehicle operation and operation, collected from the OBD dongle through the mobile device.

The verification unit 420 checks a source that issued an operation command for driving of an autonomous vehicle through analysis of vehicle data.

Here, the verification unit 420 identifies whether the source that issued the operation command for driving the autonomous vehicle through the analysis of the vehicle data is from the driver or the autonomous driving agent, so that the operation command for the autonomous driving of the autonomous vehicle You can see where it came from.

When the source that issued the operation command for driving of the autonomous vehicle is identified, the determination unit 430 determines whether the driver intervenes through confirmation of the source that issued the operation command.

Here, if the determination unit 430 determines that the source of the operation command for driving the autonomous vehicle is from the driver, it is determined as the driver's intervention during autonomous driving, and may calculate the driver's intervention time, and the driver's intervention The intensity of the intervention can also be judged.

Further, the determination unit 430 determines whether devices necessary for autonomous driving of the autonomous vehicle, such as camera sensors, radar, lidar, and other ADAS devices, are malfunctioning, and weather, time, and traffic conditions for the current location. And the stability of autonomous driving may be evaluated based on situation information such as road information.

The providing unit 440 evaluates the stability of the autonomous vehicle with respect to autonomous driving, and when the evaluated stability is less than a preset reference stability, provides recommended information for recommending the driver's intervention to the mobile device, thereby providing the recommended information to the driver. to provide.

Furthermore, the providing unit 440 may provide information on a current state of a device required for autonomous driving, for example, whether a failure or not, accuracy, etc. to the mobile device.

Furthermore, the providing unit 440 may provide intervention pattern information to the driver by generating intervention pattern information on the driver's intervention during autonomous driving and providing the generated intervention pattern information to the mobile device. The information and preset reference information may be compared to provide a visual or audible alarm related to the driver's intervention to the mobile device.

Furthermore, the provider 440 statistically evaluates the autonomous driving of the autonomous vehicle or the stability of driving due to the driver's intervention, and recommends or deprecates whether the driver's intervention during autonomous driving is performed through statistical evaluation. May be.

Although the description of the system of FIG. 4 is omitted, the system of FIG. 4 may include all of the contents described in FIGS. 1 to 3, and such matters will be apparent to those skilled in the art. .

The system or device described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the systems, devices, and components described in the embodiments are, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA). ), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, such as one or more general purpose computers or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to behave as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in the signal wave being transported. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

As described above, although the embodiments have been described by the limited embodiments and drawings, various modifications and variations are possible from the above description by those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the claims to be described later.

Claims (12)

In a system for determining whether an autonomous vehicle is involved in a driver,
A receiving unit for receiving vehicle data, which is OBD data for vehicle operation and driving, collected from an On-Board Diagnostics (OBD) dongle;
A verification unit for confirming a source that issued an operation command for driving of the autonomous vehicle through analysis of the received vehicle data; And
A determination unit that determines whether the driver is involved through confirmation of the source that issued the operation command
A system for determining whether a driver is involved in an autonomous vehicle comprising a.
The method of claim 1,
The confirmation unit
The system for determining whether to intervene a driver of an autonomous vehicle, characterized in that it is identified whether a source that issued an operation command for driving of the autonomous vehicle is from the driver or an autonomous driving agent through the analysis of the vehicle data.
The method of claim 1,
A providing unit for generating and providing intervention pattern information for the driver's intervention to the driver, comparing the intervention pattern information with preset reference information to provide a visual or audible alarm related to the driver's intervention
A system for determining whether a driver is involved in an autonomous vehicle, further comprising.
The method of claim 1,
The determination unit
Autonomy, characterized in that evaluating the stability of autonomous driving based on situation information including at least one of weather, time, traffic conditions, and road information for a current location and whether devices necessary for autonomous driving of the autonomous vehicle A system for determining whether a driving vehicle is involved in a driver
The method of claim 4,
When the stability of the autonomous driving is lower than the preset reference stability, a providing unit that provides the driver with recommended information recommending the driver's intervention
A system for determining whether a driver is involved in an autonomous vehicle, further comprising.
The method of claim 1,
The determination unit
The driver of an autonomous vehicle, characterized in that it determines whether the driver intervenes in at least one of deceleration, acceleration, steering, gear shifting, and turn indicator operations of the autonomous vehicle, and an intervention time and intensity of intervention by the driver. Intervention determination system.
In a method of determining whether an autonomous vehicle is involved in a driver,
Receiving vehicle data, which is OBD data for vehicle operation and driving, collected from an On-Board Diagnostics (OBD) dongle;
Confirming a source that issued an operation command for driving of the autonomous vehicle through analysis of the received vehicle data; And
Determining whether a driver is involved through confirmation of a source that issued the operation command
A method of determining whether the driver is involved in an autonomous vehicle comprising a.
The method of claim 7,
The step of confirming
And determining whether a source that issued an operation command for driving of the autonomous vehicle is from the driver or an autonomous driving agent through the analysis of the vehicle data.
The method of claim 7,
Generating and providing intervention pattern information for the driver's intervention to the driver, and comparing the intervention pattern information with preset reference information to provide a visual or audible alarm related to the driver's intervention
Method for determining whether the driver is involved in the autonomous vehicle, characterized in that it further comprises.
The method of claim 7,
The determining step
Autonomy, characterized in that evaluating the stability of autonomous driving based on situation information including at least one of weather, time, traffic conditions, and road information for a current location and whether devices necessary for autonomous driving of the autonomous vehicle How to determine whether a driving vehicle is involved in the driver.
The method of claim 10,
Providing, to the driver, recommended information for recommending intervention of the driver when the stability of the autonomous driving is less than a preset reference stability
A method for determining whether a driver is involved in an autonomous vehicle, comprising:
The method of claim 7,
The determining step
The driver of an autonomous vehicle, characterized in that it determines whether the driver intervenes in at least one of deceleration, acceleration, steering, gear shifting, and turn indicator operations of the autonomous vehicle, and an intervention time and intensity of intervention by the driver. How to determine if you are involved.

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