KR20240022211A - Method and apparatus for controlling vehicle's speed based on driving environment - Google Patents

Abstract

A vehicle speed control method according to the driving environment according to an embodiment determines the driving environment of the vehicle, extracts speed limit information of the vehicle based on the determined driving environment, and adjusts the speed of the vehicle based on the extracted speed limit information. Control.

Description

{Method and apparatus for controlling vehicle's speed based on driving environment}

The present invention relates to a method and device for controlling speed according to the driving environment of a vehicle.

A self-driving car is a car that travels to its destination on its own without any driver intervention. As the core of future automobile technology, it is of utmost importance that safety devices function properly. Self-driving cars are equipped with various sensors and central control devices. Not only does it directly check traffic signals, but it also understands the lane environment and surrounding traffic flow, and drives 'on its own' without the driver's help.

Representative examples of driver assistance systems for autonomous or semi-autonomous vehicles include adaptive cruise control (ACC) or smart cruise systems. This system is one of the electronic control technologies applied to vehicles to help drivers drive, along with lane-keeping systems and collision warning systems. It controls steering, acceleration, and brake control of the vehicle by the driver. It is a system that is automatically adjusted based on the results determined by the distance and relative speed to the preceding vehicle recognized through sensors attached to the vehicle.

Meanwhile, the vehicle can only be driven safely if it slows down or reduces its speed depending on the vehicle's driving environment. In addition, the Road Traffic Act stipulates that the speed be reduced to 20% and 50% of the speed limit depending on the driving environment, for example, in bad weather due to rain, fog, snow, etc.

[Prior art document number]

Prior Art 1: Korean Patent No. 10-0396998

Prior Art 2: Korean Patent No. 10-2408654

One embodiment provides a method and device for controlling speed according to the driving environment of a vehicle. Additionally, the object is to provide a computer-readable recording medium on which a program for executing the method on a computer is recorded. The technical challenges to be solved are not limited to those described above, and other technical challenges may exist.

A vehicle speed control method according to a driving environment according to an embodiment includes determining the driving environment of the vehicle; extracting vehicle speed limit information based on the determined driving environment; and controlling the speed of the vehicle based on the extracted speed limit information.

Determining the driving environment of the vehicle may include determining a wiper setting of the vehicle; Determining the amount of rainfall in the driving environment using the rainwater detection sensor of the vehicle; and determining a driving environment of the vehicle based on at least one of the wiper setting and the determined rainfall amount.

In the step of extracting the speed limit information of the vehicle, the speed limit information may be extracted by reflecting the second speed limit information according to the determined driving environment in the preset first speed limit information of the vehicle.

The step of extracting the speed limit information of the vehicle further includes the step of checking driving guidance information of the vehicle,

The speed limit information may be extracted by reflecting the second speed limit information and the confirmed driving guidance information in the preset first speed limit information of the vehicle.

The preset first speed limit information of the vehicle may be the maximum speed regulated by law according to the road on which the vehicle travels.

The preset first speed limit information of the vehicle may be the maximum speed set by the user in the autonomous driving settings menu including smart cruise.

The preset first speed limit information of the vehicle further includes information on the inter-vehicle distance between the driving vehicle and the vehicle in front,

The second speed limit information according to the sensed driving environment may further include inter-vehicle distance information that increases the preset inter-vehicle distance information.

A vehicle speed control device according to a driving environment according to another embodiment includes a driving environment determination unit that determines the driving environment of the vehicle; and a processor,

The processor extracts speed limit information of the vehicle based on the driving environment determined by the driving environment determination unit, and controls the speed of the vehicle based on the extracted speed limit information.

The driving environment determination unit determines the wiper setting of the vehicle, determines the amount of rainfall in the driving environment using the rainwater detection sensor of the vehicle, and drives the vehicle based on at least one of the wiper setting and the determined rainfall amount. You can judge the environment.

The processor may extract the speed limit information that reflects the second speed limit information according to the determined driving environment in the preset first speed limit information of the vehicle.

The processor checks driving guidance information of the vehicle,

The speed limit information may be extracted by reflecting the second speed limit information and the confirmed driving guidance information in the preset first speed limit information of the vehicle.

The preset first speed limit information of the vehicle may be the maximum speed regulated by law according to the road on which the vehicle travels.

The preset first speed limit information of the vehicle may be the maximum speed set by the user in the autonomous driving settings menu including smart cruise.

The preset first speed limit information of the vehicle further includes information on the inter-vehicle distance between the driving vehicle and the vehicle in front,

The second speed limit information according to the sensed driving environment may further include inter-vehicle distance information that increases the preset inter-vehicle distance information.

It includes a recording medium recording a program for executing a vehicle speed control method according to a driving environment on a computer according to another embodiment.

1 is an internal block diagram of a vehicle.
FIG. 2 is a block diagram of the vehicle driver assistance system (ADAS) shown in FIG. 1.
Figure 3 is a schematic diagram of a vehicle speed control device according to one embodiment.
Figure 4 is an example diagram of determining the driving environment of a vehicle.
Figure 5 is an example diagram of controlling vehicle speed according to the vehicle's driving environment.
Figure 6 is another example of controlling vehicle speed according to the vehicle's driving environment.
Figure 7 is another example of controlling vehicle speed according to the vehicle's driving environment.
Figure 8 is a flowchart for explaining a method of controlling vehicle speed according to a driving environment according to an embodiment.

The terms used in this specification will be briefly explained, and the present invention will be described in detail.

The terms used in the present invention are general terms that are currently widely used as much as possible while considering the functions in the present invention, but this may vary depending on the intention or precedent of a technician working in the field, the emergence of new technology, etc. In addition, in certain cases, there are terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the relevant invention. Therefore, the terms used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than simply the name of the term.

When it is said that a part "includes" a certain element throughout the specification, this means that, unless specifically stated to the contrary, it does not exclude other elements but may further include other elements. In addition, terms such as "... unit" and "module" used in the specification refer to a unit that processes at least one function or operation, which may be implemented as hardware or software, or as a combination of hardware and software. .

Hereinafter, the present disclosure will be described in detail with reference to the attached drawings.

1 is an internal block diagram of a vehicle according to an embodiment.

Referring to FIG. 1, the vehicle 100 includes a communication unit 110, an input unit 120, a sensing unit 125, a memory 130, an output unit 140, a vehicle driving unit 150, and a vehicle driving assistance system (ADAS). , 160), a control unit 170, an interface unit 180, and a power supply unit 190.

The communication unit 110 may include a short-range communication module, a location information module, an optical communication module, and a V2X communication module.

The input unit 120 may include a driving control unit, a camera, a microphone, and a user input unit.

The driving operation means receives user input for driving the vehicle 100. The driving operation means may include a steering input means, a shift input means, an acceleration input means, and a brake input means.

The acceleration input means receives an input for acceleration of the vehicle 100 from the user. The brake input means receives an input for decelerating the vehicle 100 from the user.

The camera may include an image sensor and an image processing module. The camera can process still or moving images obtained by an image sensor (eg, CMOS or CCD). The image processing module may process still images or moving images obtained through an image sensor, extract necessary information, and transmit the extracted information to the control unit 170.

Meanwhile, the vehicle 100 may include a front camera that captures an image in front of the vehicle, an around view camera that captures an image around the vehicle, and a rear camera that captures an image of the rear of the vehicle. Each camera may include a lens, an image sensor, and a processor. The processor may computer process the captured image, generate data or information, and transmit the generated data or information to the control unit 170. The processor included in the camera may be controlled by the control unit 170.

The camera may include a stereo camera. In this case, the camera's processor can use the disparity difference detected in the stereo image to detect the distance to the object, the relative speed to the object detected in the image, and the distance between the plurality of objects.

The camera may include a Time of Flight (TOF) camera. In this case, the camera may include a light source (eg, infrared or laser) and a receiver. In this case, the camera's processor detects the distance to the object, the relative speed to the object, and the distance between a plurality of objects based on the time (TOF) until the infrared or laser emitted from the light source is reflected and received by the object. can do.

Meanwhile, the rear camera may be placed near the rear license plate, trunk, or tailgate switch, but the location where the rear camera is placed is not limited thereto.

Each image captured by a plurality of cameras is transmitted to the camera's processor, and the processor can synthesize the images to create an image around the vehicle. At this time, the image surrounding the vehicle may be displayed through the display unit as a top view image or a bird's eye image.

The sensing unit 125 senses various situations of the vehicle 100. For this purpose, the sensing unit 125 includes a collision sensor, a wheel sensor, a speed sensor, an inclination sensor, a weight sensor, a heading sensor, a yaw sensor, and a gyro sensor. , position module, vehicle forward/backward sensor, battery sensor, fuel sensor, tire sensor, steering sensor by steering wheel rotation, vehicle interior temperature sensor, vehicle interior humidity sensor, ultrasonic sensor, illuminance sensor, radar, lidar, etc. may include.

As a result, the sensing unit 125 provides vehicle collision information, vehicle direction information, vehicle location information (GPS information), vehicle angle information, vehicle speed information, vehicle acceleration information, vehicle tilt information, vehicle forward/backward information, and battery information. , sensing signals for fuel information, tire information, vehicle lamp information, vehicle interior temperature information, vehicle interior humidity information, steering wheel rotation angle, vehicle exterior illumination, etc. can be obtained.

The memory 130 is electrically connected to the control unit 170. The memory 130 can store basic data for the unit, control data for controlling the operation of the unit, and input/output data. In terms of hardware, the memory 130 may be a variety of storage devices such as ROM, RAM, EPROM, flash drive, hard drive, etc. The memory 130 may store various data for the overall operation of the vehicle 100, such as programs for processing or controlling the control unit 170.

The output unit 140 is for outputting information processed by the control unit 170 and may include a display unit, an audio output unit, and a haptic output unit.

The display unit may display information processed by the control unit 170. For example, the display unit can display vehicle-related information. Here, the vehicle-related information may include vehicle status information indicating the current status of the vehicle or vehicle operation information related to the operation of the vehicle. For example, the display unit may display information on the speed (or speed) of the current vehicle, the speed (or speed) of surrounding vehicles, and the distance between the current vehicle and surrounding vehicles.

Meanwhile, the display unit may include a cluster so that the driver can check vehicle status information or vehicle operation information while driving. Clusters can be located on dashboards. In this case, the driver can check the information displayed on the cluster while maintaining his gaze in front of the vehicle. In an embodiment, a gaze tracking module, for example, an eye tracker, for tracking the driver's gaze may be provided in the cluster.

The audio output unit converts the electrical signal from the control unit 170 into an audio signal and outputs it. For this purpose, the sound output unit may be equipped with a speaker, etc.

The vehicle driving unit 150 can control the operation of various vehicle devices. The vehicle driving unit 150 may include a power source driving unit, a steering driving unit, a brake driving unit, a lamp driving unit, an air conditioning driving unit, a window driving unit, an airbag driving unit, a sunroof driving unit, and a suspension driving unit.

The power source driving unit may perform electronic control of the power source within the vehicle 100. For example, when a fossil fuel-based engine (not shown) is the power source, the power source driving unit may perform electronic control of the engine. Thereby, the output torque of the engine, etc. can be controlled. When the power source driving unit is an engine, the speed of the vehicle can be limited by limiting the engine output torque under the control of the control unit 170.

The brake driver may perform electronic control of a brake apparatus (not shown) in the vehicle 100. For example, the speed of the vehicle 100 can be reduced by controlling the operation of the brakes disposed on the wheels. As another example, the moving direction of the vehicle 100 can be adjusted to the left or right by varying the operation of the brakes disposed on the left and right wheels, respectively.

The lamp driver can control the turn on/turn off of lamps placed inside and outside the vehicle. Additionally, the intensity and direction of the light of the lamp can be controlled. For example, control of direction indicator lamps, brake lamps, etc. can be performed.

The control unit 170 may control the overall operation of each unit within the vehicle 100. The control unit 170 may be named ECU (Electronic Control Unit). The above-described accident determination device may be driven by the control unit 170.

In terms of hardware, the control unit 170 includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), and processors ( It may be implemented using at least one of processors, controllers, micro-controllers, microprocessors, and other electrical units for performing functions.

The interface unit 180 may serve as a passageway for various types of external devices connected to the vehicle 100. For example, the interface unit 180 may be provided with a port that can be connected to a mobile terminal (not shown) and can be connected to a mobile terminal (not shown) through the port. In this case, the interface unit 180 can exchange data with the mobile terminal.

The power supply unit 190 may supply power required for the operation of each component under the control of the control unit 170. In particular, the power supply unit 190 may receive power from a battery (not shown) inside the vehicle.

FIG. 2 is a block diagram of the vehicle driver assistance system (ADAS) shown in FIG. 1.

ADAS (200) is a vehicle driving assistance system that assists the driver to provide convenience and safety.

ADAS (200) includes an automatic emergency braking module (hereinafter referred to as AEB: Autonomous Emergency Braking) (210), a forward collision avoidance module (hereinafter referred to as FCW: Forward Collision Warning) (211), and a lane departure warning module (hereinafter referred to as LDW: Lane). Departure Warning (212), Lane Keeping Assist module (LKA: Lane Keeping Assist) (213), speed assistance system module (SAS: Speed Assist System) (214), traffic signal detection module (TSR: Traffic Sign) Recognition) (215), adaptive high beam control module (hereinafter, HBA: High Beam Assist) (216), blind spot monitoring module (hereinafter, BSD: Blind Spot Detection) (217), automatic emergency steering module (hereinafter, AES: Autonomous Emergency Steering (218), Curve Speed Warning System module (CSWS: Curve Speed Warning System) (219), Adaptive Cruise Control module (ACC: Adaptive Cruise Control) (220), Smart parking system module (hereinafter: , SPAS: Smart Parking Assist System (221), traffic jam assist module (hereinafter, TJA: Traffic Jam Assist) (222), and around view monitor module (hereinafter, AVM: Around View Monitor) (223). .

Each of the ADAS modules 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, and 223 may include a processor for controlling vehicle driving assistance functions.

The processor included in each of the ADAS modules (210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223) can be controlled by the control unit 270. .

Each of the ADAS modules (210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223) processor is hardware-wise, ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), processors, controllers, micro-controllers, microprocessors ( It may be implemented using at least one of microprocessors) and electrical units for performing other functions.

The AEB 210 is a module that controls automatic braking to prevent collisions with detected objects. The FCW 211 is a module that controls warnings to be output to prevent collisions with objects in front of the vehicle. The LDW 212 is a module that controls a warning to be output to prevent lane departure while driving. The LKA (213) is a module that controls driving lane maintenance while driving. The SAS 214 is a module that controls driving at a set speed or lower. The TSR 215 is a module that detects traffic signals while driving and provides information based on the detected traffic signals. The HBA 216 is a module that controls the irradiation range or amount of high beam lights depending on the driving situation. The BSD 217 is a module that detects objects outside the driver's field of vision while driving and provides detection information. AES 218 is a module that automatically performs steering in an emergency. The CSWS 219 is a module that controls to output a route when driving at a speed higher than a preset speed while driving on a curve. The ACC 220 is a module that controls driving to follow the preceding vehicle. SPAS (221) is a module that detects a parking space and controls parking in the parking space. The TJA (222) is a module that controls automatic operation during traffic congestion. The AVM 223 is a module that provides images around the vehicle and controls the area around the vehicle to be monitored.

The ADAS 200 provides control signals for performing each vehicle driving assistance function to the output unit 250 or the vehicle driving unit 260 based on data obtained from the input unit 230 or the sensing unit 235. can do. The ADAS 200 may directly output the control signal to the output unit 250 or the vehicle driving unit 260 through vehicle internal network communication (eg, CAN). Alternatively, the ADAS 200 may output the control signal to the output unit 250 or the vehicle driving unit 260 via the control unit 270.

Figure 3 is a schematic diagram of a vehicle speed control device according to one embodiment.

Referring to FIG. 3 , the vehicle speed control device 300 includes a driving environment determination unit 310 and a processor 320. In an embodiment, the vehicle speed control device 300 may determine the driving environment of the vehicle, extract speed limit information of the vehicle based on the determined driving environment, and control the speed of the vehicle based on the extracted speed limit information. there is. Here, the vehicle speed control device 300 may be a vehicle driving assistance system (ADAS) described with reference to FIGS. 1 and 2.

The driving environment determination unit 310 determines the driving environment of the vehicle. The driving environment determination unit 310 can determine the driving environment depending on whether various sensors and convenience functions of the vehicle are operated. Additionally, the driving environment determination unit 310 may receive driving environment information from an external server through the communication unit and determine the driving environment. Here, the driving environment may be information about weather conditions including rain, snow, fog, etc., or driving road conditions, such as tunnels or construction, but is not limited thereto. The driving environment determination unit 310 may determine the driving environment based on the operation of the vehicle's wiper, the wiper setting (e.g., fast, normal, slow), and rain detection data from a rain sensor or rain sensor. Here, the driving environment is divided into levels such as normal, bad, very bad, etc., or deceleration such as 10% deceleration, 20% deceleration, 30% deceleration, 40% deceleration, 50% deceleration, etc. from the current vehicle speed set. It could be a ratio.

Figure 4 is an example diagram of determining the driving environment of a vehicle.

Referring to FIG. 4, a wiper 401 provided on the front of the vehicle and a rain sensor 402 provided on the front of the vehicle are shown. The driver can set the speed of the wiper 401 through the wiper setting interface. Additionally, the speed of the wiper 401 can be adjusted based on the rain detection data of the rain sensor 402 and depending on the amount of rain falling.

Referring to FIG. 4, the driving environment determination unit 310 has described determining the driving environment of the vehicle as determining a rainy environment using the wiper 401 and the rain sensor 402, but other environments can be determined. Of course, other sensors, etc. can be used for this purpose.

The processor 320 extracts speed limit information of the vehicle based on the driving environment determined by the driving environment determination unit 310 and controls the speed of the vehicle based on the extracted speed limit information.

If the driving environment determined by the driving environment determination unit 310 is poor or the speed is reduced by 20%, the processor 320 controls the speed of the vehicle by reducing the speed by 20% from the speed corresponding to the currently set vehicle speed limit information. For example, if you are driving on a highway where the current maximum speed limit is 100 km/h, the speed is reduced by 20% to 80 km/h. Therefore, navigation alarms, etc. are output at a speed of 80 km/h. Here, the speed limit information of the vehicle may be set in advance by the user, or may be the maximum speed limit of the road on which the vehicle is currently driving. For example, it may be the speed set by the user in autonomous driving settings or the maximum speed setting of smart cruise.

Additionally, the processor 320 may increase the distance between vehicles based on the driving environment determined by the driving environment determination unit 310. For example, when the preset distance between vehicles is 50m and the driving environment is poor or the vehicle slows down by 20%, the distance between vehicles can be increased by 20% and controlled to 60m.

Figure 5 is an example diagram of controlling vehicle speed according to the vehicle's driving environment.

Referring to FIG. 5, the wiper 520 is operating in a rainy driving environment. The vehicle's driving information (speed, route guidance, etc.) is displayed on the head-up display (HUD). In the current rainy driving situation (510), the current maximum vehicle speed is 100 km/h, and the distance between vehicles in front is set to 50 m.

The head-up display 530 displays key information on the instrument panel and simple navigation directions in the air beyond the windshield (front glass) from the driver's line of sight. Head-up display 530 projects a transparent graphic image onto the windshield's reflective film, making it appear as if the image is several meters in front of the driver. With HUD, drivers no longer need to look down to check the speedometer or keep a close eye on the navigation system located on the right. You can view key driving information simply by keeping your eyes on the road ahead.

The head-up display 530 may be an embedded type, a mounted type, or a terminal-linked type. It consists of a main body and a reflector, and uses sensors included in the device to enable voice recognition and gesture control. In addition, by linking with existing car navigation systems, navigation information can be displayed by linking with a smartphone. It can display call and message information, media playback information, SNS and e-mail notifications, or even project the smartphone screen itself.

Additionally, the head-up display 530 can display an AR HUD image. Using a transparent display, AR HUD can display images such as arrows, route guidance such as carpets or lines, and virtual signs precisely at the points where you need to enter, exit, or change directions on the actual scenery further ahead. AR HUD projects vehicle speed and basic guidance information on a nearby screen, and more realistic augmented reality information on a distant screen. In addition, for collision risks such as vehicles, pedestrians, or objects that are too close to the car in front or suddenly cutting in, AR graphics can be used to display the risk so that the driver can easily recognize the risk to maintain the lane. For AR HUD, an AR HUD image is created using information sensed from cameras, radars, and ultrasonic sensors installed in the vehicle. Sensors and software can determine the coordinates of an object, identify whether it is a person or an object, and align it with the video image on the display. It accurately places virtual information on real objects, including computing power and GPS data for scenario analysis using image sensors. By knowing where the car is at the moment, which direction it is going, or where the driver is looking, it is possible to position virtual objects on the landscape. Accuracy is improved with positioning based on high-precision GPS and HD map data. AR includes multiple sensor data sets and may include mathematical models of vehicle behavior.

Figure 6 is another example of controlling vehicle speed according to the vehicle's driving environment.

Referring to FIG. 6, this is a case where the driving environment determination unit 310 shown in FIG. 3 determines that the operating speed of the wiper 620 is normal and reduces the speed by 20%. The processor 320 extracts the currently set maximum speed limit of 100 km per hour, reduces the speed by 20%, extracts 80 km per hour, and displays the reset maximum speed limit of 80 km per hour on the head-up display. Additionally, the distance to the vehicle in front can be reset from the previously set 50m to 60m, which is an increase of 20%.

Additionally, while driving, in a situation where it rains more heavily, the driving environment determination unit 310 may determine that the operating speed of the wiper 620 is fast and reduce the speed by 50%. In this case, it can be controlled by reducing the speed by 50% from the preset speed limit of 100 km/h and setting it to 50 km/h. Additionally, the distance between vehicles can be reset to 75m, which is a 50% increase from the existing 50m.

According to an embodiment, by controlling the vehicle speed according to the driving environment of the vehicle, safe driving can be supported by limiting the vehicle speed according to the driving environment even in situations where the driver is not aware of it in advance. In addition, even at the smart cruise setting speed of autonomous or semi-autonomous driving pre-designated by the driver, safe driving can be supported by limiting or controlling the set speed according to the current driving environment.

Figure 7 is another example of controlling vehicle speed according to the vehicle's driving environment.

Referring to FIG. 7, in a situation where the vehicle speed is set to 80 km according to the current vehicle driving environment, a tunnel exists in front of the driving road. If the vehicle passes through a tunnel, if it stops raining or if the wipers stop working, the vehicle speed may increase again to 100 km.

In an embodiment, when a tunnel passes through, the tunnel information can be reflected in advance through navigation information, and the driving environment judgment unit's judgment operation can be prohibited so that the vehicle speed does not increase to 100 km.

Additionally, in another embodiment, the vehicle speed may be increased to 100 km to drive through the tunnel, and the vehicle speed may be reduced to 80 km before exiting the tunnel by reflecting tunnel information, for example, the tunnel length, through navigation information in advance. there is. Therefore, the risk of vehicle accidents due to changes in the driving environment before and after passing the tunnel can be reduced.

Figure 8 is a flowchart for explaining a method of controlling vehicle speed according to a driving environment according to an embodiment.

Referring to FIG. 8, in step 800, the vehicle speed control device determines the driving environment of the vehicle. Here, the driving environment may include weather conditions such as rain, snow, and fog, and may include road environments such as tunnels and bridges, but is not limited thereto.

In step 802, speed limit information is extracted based on the driving environment. Speed limit information may be the legal maximum speed depending on the driving road or the maximum speed set by the driver.

In step 804, the vehicle speed is controlled based on speed limit information. The speed of the vehicle is controlled by adjusting the speed limit information depending on the driving environment.

A device according to an embodiment includes a processor, memory for storing and executing program data, permanent storage such as a disk drive, a communication port for communicating with an external device, a user such as a touch panel, keys, buttons, etc. It may include an interface device, etc. Methods implemented as software modules or algorithms may be stored on a computer-readable recording medium as computer-readable codes or program instructions executable on the processor. Here, computer-readable recording media include magnetic storage media (e.g., ROM (read-only memory), RAM (random-access memory), floppy disk, hard disk, etc.) and optical read media (e.g., CD-ROM). ), DVD (Digital Versatile Disc), etc. The computer-readable recording medium is distributed among computer systems connected to a network, so that computer-readable code can be stored and executed in a distributed manner. The media may be readable by a computer, stored in memory, and executed by a processor.

Reference signs are indicated in the embodiments shown in the drawings, and specific terms are used to describe the embodiments. However, the present invention is not limited by the specific terms, and the embodiments include all configurations that can be commonly thought of by those skilled in the art. May contain elements.

Embodiments may be represented by functional block configurations and various processing steps. These functional blocks may be implemented in various numbers of hardware or/and software configurations that execute specific functions. For example, embodiments include integrated circuit configurations such as memory, processing, logic, look-up tables, etc. that can execute various functions under the control of one or more microprocessors or other control devices. can be hired. Similar to the fact that the components of the invention can be implemented as software programming or software elements, embodiments may include various algorithms implemented as combinations of data structures, processes, routines or other programming constructs, such as C, C++, , may be implemented in a programming or scripting language such as Java, assembler, etc. Functional aspects may be implemented as algorithms running on one or more processors. Additionally, embodiments may employ conventional technologies for electronic environment settings, signal processing, and/or data processing. Terms such as “mechanism,” “element,” “means,” and “composition” can be used broadly and are not limited to mechanical and physical components. The term may include the meaning of a series of software routines in connection with a processor, etc.

Specific implementations described in the embodiments are examples and do not limit the scope of the embodiments in any way. For the sake of brevity of the specification, descriptions of conventional electronic components, control systems, software, and other functional aspects of the systems may be omitted. In addition, the connections or connection members of lines between components shown in the drawings exemplify functional connections and/or physical or circuit connections, and in actual devices, various functional connections or physical connections may be replaced or added. Can be represented as connections, or circuit connections. Additionally, if there is no specific mention such as “essential,” “important,” etc., it may not be a necessary component for the application of the present invention.

In the specification of the embodiment (especially in the patent claims), the use of the term “above” and similar referential terms may refer to both the singular and the plural. In addition, when a range is described in an example, the invention includes the application of individual values within the range (unless there is a statement to the contrary), and is the same as describing each individual value constituting the range in the detailed description. . Lastly, unless the order of the steps constituting the method according to the embodiment is clearly stated or there is no description to the contrary, the steps may be performed in an appropriate order. The embodiments are not necessarily limited by the order of description of the steps above. The use of any examples or illustrative terms (e.g., etc.) in the embodiments is merely for describing the embodiments in detail, and unless limited by the claims, the scope of the embodiments is not limited by the examples or illustrative terms. That is not the case. Additionally, those skilled in the art will recognize that various modifications, combinations and changes may be made depending on design conditions and factors within the scope of the appended claims or their equivalents.

Claims (15)

Determining the driving environment of the vehicle;
extracting vehicle speed limit information based on the determined driving environment; and
A vehicle speed control method according to a driving environment, comprising controlling the speed of the vehicle based on the extracted speed limit information. According to claim 1,
The step of determining the driving environment of the vehicle is,
determining wiper settings of the vehicle;
Determining the amount of rainfall in the driving environment using the rainwater detection sensor of the vehicle; and
A vehicle speed control method according to a driving environment, comprising the step of determining a driving environment of the vehicle based on at least one of the wiper setting and the determined rainfall amount. According to claim 2,
The step of extracting the speed limit information of the vehicle is,
A vehicle speed control method according to a driving environment, characterized in that the speed limit information is extracted by reflecting the second speed limit information according to the determined driving environment in the preset first speed limit information of the vehicle. According to claim 3,
The step of extracting the speed limit information of the vehicle is,
Further comprising the step of checking driving guidance information of the vehicle,
A vehicle speed control method according to a driving environment, characterized in that the speed limit information is extracted by reflecting the second speed limit information and the confirmed driving guide information in the preset first speed limit information of the vehicle. According to claim 3,
The first speed limit information of the preset vehicle is,
A vehicle speed control method according to the driving environment, characterized in that the maximum speed regulated by law according to the road on which the vehicle travels. According to claim 3,
The first speed limit information of the preset vehicle is,
A vehicle speed control method according to the driving environment, characterized in that the maximum speed is set by the user in the autonomous driving settings menu including smart cruise. According to claim 6,
The first speed limit information of the preset vehicle is,
It further includes information on the inter-vehicle distance between the driving vehicle and the vehicle in front,
The second speed limit information according to the detected driving environment is,
A vehicle speed control method according to the driving environment, further comprising inter-vehicle distance information that increases the preset inter-vehicle distance information. A recording medium recording a program for executing the vehicle speed control method according to any one of claims 1 to 7 on a computer. A driving environment determination unit that determines the driving environment of the vehicle; and
Includes a processor,
The processor,
Extracting speed limit information of the vehicle based on the driving environment determined by the driving environment determination unit,
A vehicle speed control device according to the driving environment, which controls the speed of the vehicle based on the extracted speed limit information. According to clause 9,
The driving environment judgment unit,
Determine the wiper settings of the vehicle,
Determine the amount of rainfall in the driving environment using the vehicle's rainwater detection sensor,
A vehicle speed control device according to the driving environment, characterized in that the driving environment of the vehicle is determined based on at least one of the wiper setting and the determined rainfall amount. According to claim 10,
The processor,
A vehicle speed control device according to the driving environment, characterized in that the speed limit information is extracted by reflecting the second speed limit information according to the determined driving environment in the preset first speed limit information of the vehicle. According to claim 11,
The processor,
Check the driving guidance information of the vehicle,
A vehicle speed control device according to a driving environment, characterized in that the speed limit information is extracted by reflecting the second speed limit information and the confirmed driving guide information in the preset first speed limit information of the vehicle. According to claim 11,
The first speed limit information of the preset vehicle is,
A vehicle speed control device according to the driving environment, characterized in that the maximum speed regulated by law according to the road on which the vehicle travels. In paragraph 11,
The first speed limit information of the preset vehicle is,
A vehicle speed control device according to the driving environment, characterized in that the maximum speed is set by the user in the autonomous driving settings menu including smart cruise. According to claim 14,
The first speed limit information of the preset vehicle is,
It further includes information on the inter-vehicle distance between the driving vehicle and the vehicle in front,
The second speed limit information according to the detected driving environment is,
A vehicle speed control device according to the driving environment, further comprising inter-vehicle distance information that increases the preset inter-vehicle distance information.

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