KR20120050306A - Method for predicting collision of car using wireless communication and thereof method - Google Patents

Abstract

The present invention relates to a neighbor vehicle collision prediction method using wireless communication.
In accordance with an aspect of the present invention, there is provided a collision prediction method of a surrounding vehicle using a wireless communication, when a wireless signal is received from a surrounding vehicle, calculating a distance from a transmitting point of the wireless signal according to the strength of the wireless signal, and a transmitting point of the wireless signal. Estimating the position of the surrounding vehicle by calculating a position of the wireless signal transmission point using the distance between the wireless signal receiving unit and the distance between the wireless signal receiving unit, and estimating the traveling speed and the driving direction of the surrounding vehicle from the position of the surrounding vehicle. And calculating a close probability and a braking clearance distance with the surrounding vehicle having the risk of first collision by using the position, the traveling speed, and the driving direction of the surrounding vehicle.
The present invention has the effect of detecting traffic accidents by detecting the surrounding vehicles behind the blind spot and obstacle using a wireless communication technology and predicting a collision with the surrounding vehicles.

Description

{Method for predicting collision of car using wireless communication and} method}

The present invention relates to a method for predicting collision of surrounding vehicles using wireless communication, and more particularly, to detect a vehicle behind a blind spot obstacle of a vehicle using wireless communication technology (RSSI) to predict a driving direction of a surrounding vehicle. It is about technology to do.

Generally, a vehicle is equipped with a room miller and a left and right side miller so that the driver can have a view of the left and right and rear as well as the front, but such a mirror prevents the driver from having a view in all directions. The left and right sides are formed with blind spots that are not secured by the side mirrors.

In order to secure the view of the blind spots, the driver may use a sub-mirror according to his or her taste, but this is also not a perfect solution, and there is a problem in that the user's view is dispersed to see each mirror.

On the other hand, with the development of image processing technology, a technology for providing a driver with a wider field of view by mounting a sensing means such as a camera on the front and rear of the vehicle and displaying the captured image image.

However, this technology is mainly used only to secure the view for forward and reverse when the vehicle is parked, it does not provide a special function while driving, in particular, there is a problem that does not provide a view to the left and right blind spots.

In addition, when driving the vehicle, it is necessary to check the position or distance of the surrounding vehicles.If the lane is to be changed, it is necessary to check whether there is a traveling vehicle in the side lane and change the lane without changing the status of the surrounding vehicle accurately. Doing so can cause accidents.

An object of the present invention is to detect the surrounding vehicle behind the blind spot and the obstacle and to predict the collision with the surrounding vehicle using a wireless communication technology.

In order to achieve the above object, a collision prediction method of a surrounding vehicle using wireless communication according to the present invention is a process of calculating a distance from a transmission point of the wireless signal according to the strength of the wireless signal when a wireless signal is received from a surrounding vehicle. And estimating the position of the surrounding vehicle by calculating the position of the transmitting point of the wireless signal by using the distance between the transmitting point of the wireless signal and the distance between the wireless signal receiving unit, and the surrounding vehicle from the position of the surrounding vehicle. Estimating driving speed and driving direction of the vehicle, and calculating proximity probability and braking clearance distance with the surrounding vehicle which is at risk of a first collision by using the position, the traveling speed, and the driving direction of the surrounding vehicle. It features.

In addition, when braking or steering avoiding to avoid the risk of the first collision, it is characterized in that it further comprises the step of calculating the possibility of close proximity to the vehicle having a secondary collision risk and braking clearance distance.

In addition, the present invention is the process of converting the risk using the proximity possibility and braking margin for the surrounding vehicle of the first collision risk, and the proximity probability and braking margin for the surrounding vehicle of the secondary collision risk The method may further include converting a relative risk level with respect to the surrounding vehicle having the first collision risk.

The method may further include displaying a risk level, a driving direction, and a driving speed for each peripheral vehicle on the screen.

In addition, the risk, the driving direction and the driving speed for each of the surrounding vehicles are characterized by distinguishing and displaying the length, color, width and the like of the arrow.

As described above, the present invention has an effect of detecting traffic accidents behind the blind spots and obstacles by using wireless communication technology and predicting collision with the surrounding vehicles, thereby preventing traffic accidents.

1 is a block diagram of a surrounding vehicle collision prediction system using wireless communication according to an embodiment of the present invention.
2 is an exemplary diagram in which the wireless signal transmitter of FIG. 1 is mounted on a vehicle.
3 is an exemplary diagram in which the wireless signal receiver of FIG. 1 is mounted on a vehicle.
4 is a flowchart illustrating a method of detecting a surrounding vehicle using wireless communication according to an exemplary embodiment of the present invention.
FIG. 5 is a diagram for describing a method of calculating a distance from a surrounding vehicle in FIG. 4. FIG.
FIG. 6 is a view for explaining a method of estimating a position and a driving direction of a surrounding vehicle in FIG. 4. FIG.
7 is a view for explaining an example of detecting a vehicle around the blind spot by the obstacle.
8 is a flowchart illustrating a method of predicting a collision of surrounding vehicles using wireless communication according to an embodiment of the present invention.
9 is a view for explaining a collision prediction method of a surrounding vehicle using wireless communication according to an embodiment of the present invention.
10 illustrates an example of displaying a surrounding vehicle collision prediction using a wireless communication on a screen;
11 is a view for explaining a method of displaying the driving direction of the surrounding vehicle according to an embodiment of the present invention.

Hereinafter, a method of predicting a collision of surrounding vehicles using wireless communication according to the present invention will be described in detail with reference to FIGS. 1 to 11.

1 is a block diagram of a surrounding vehicle collision prediction system using wireless communication according to an embodiment of the present invention.

In the surrounding vehicle collision prediction system using wireless communication according to an embodiment of the present invention, the wireless signal transmitter 100, the wireless signal receiver 200, the peripheral vehicle distance calculator 300, the peripheral vehicle position estimation unit 400 The vehicle includes a vehicle speed estimator 500, a vehicle vehicle direction estimator 600, a display unit 700, and a collision risk calculator 900.

The wireless signal transmitter 100 transmits a wireless signal. At this time, as shown in Figure 2, the wireless signal transmitter 100 is installed on the upper left front wheel 111, both rear wheels 112, 113 of the vehicle, respectively, each wireless signal transmitter 111-113 Cross the lines so that they form a right triangle. However, the installation positions of the wireless signal transmitters 111 to 113 are not limited to those shown in FIG. 2.

The radio signal receiver 200 receives a radio signal transmitted from a surrounding vehicle. At this time, as shown in Figure 3, the wireless signal receiver 200 is installed on the upper left front wheel 211 and the upper left rear wheel 212 of the vehicle, respectively. At this time, the installation position of the wireless signal receiver 200 may be changed. In this case, it is preferable to transmit and receive a signal having a predetermined protocol between the wireless signal transmitter 100 and the wireless signal receiver 200.

The peripheral vehicle distance calculator 300 measures the strength of the wireless signal received by the wireless signal receiver 200 from the surrounding vehicle, and calculates a distance from the surrounding vehicle according to the strength of the received wireless signal. Here, the distance between the wireless signal receivers 211 and 212 of the host vehicle is a fixed value (since the vehicle length), and the peripheral vehicle distance calculator 300 calculates the distance between the wireless signal receivers 211 and 212 and the source, respectively. Calculate.

At this time, RSSI (Received Signal Strength Indication), a technique of measuring the strength of a radio signal and calculating a distance, expresses the signal as a 1 byte value of 0 to 255 according to the strength of the radio signal, and from the source according to the signal value according to the strength. You can determine the distance of.

The surrounding vehicle position estimator 400 estimates the position of each source using the relative distance for each source calculated from the peripheral vehicle distance calculator 300. In this case, referring to FIG. 5, since the peripheral position estimator 400 may form a triangle when the length of the three sides is known, the distance between the wireless signal receivers A and B of the host vehicle and the distance from the peripheral vehicle distance calculator 300 may be calculated. By using the distance (3m, 4m) between each of the wireless signal receiver 211, 212 and the source source can be estimated the position of the source (C, D) of the right and left on the basis of the host vehicle. At this time, the location of each source is preferably represented by the coordinates based on the position of the host vehicle.

Referring to FIG. 6, in more detail, the position estimation method 400 of the surrounding vehicle position is based on the distance between the wireless signal receivers A and B of the host vehicle. , G, H, J, I) is estimated, and the right source (E, F, G) is drawn to form a right triangle, and the left source (H, J, I) is drawn to a right triangle After forming, check whether the position of the right angle in each right triangle is on the right side or on the left side, and determines that the case on the left side is the actual source.

6 is an example of a position estimation method in the case where the radio signal transmitters 111 to 113 are installed on the upper left front wheel and both rear wheels of the vehicle, and the shape of the right triangle is determined according to the position of the radio signal transmitters 111 to 113. Since it may vary, it is desirable to make the judgment method accordingly.

The surrounding vehicle traveling speed estimator 500 estimates the traveling speed using the moving distance and the moving time of the vehicle for a predetermined time using the position estimated by the surrounding vehicle position estimating unit 400.

When the surrounding vehicle driving direction estimator 600 creates a right triangle using the position of the source from the surrounding vehicle position main unit 400 as shown in FIG. 6, the vehicle verifies the vertex direction E on the left side of the right triangle of the right triangle. Judging by the direction of travel.

10 and 11, the display unit 700 displays the own vehicle and the surrounding vehicle on the lane, and displays the driving direction and the degree of danger of the surrounding vehicle so that the driver can check it.

The collision risk calculation unit 900 calculates a risk (proximity, braking clearance) with the surrounding vehicles using the position, the traveling speed, and the driving direction of the surrounding vehicles, and relatively determines the risk for each vehicle.

Hereinafter, a method of detecting a surrounding vehicle using wireless communication according to an embodiment of the present invention will be described in detail with reference to FIG. 4.

First, the peripheral vehicle distance calculator 300 of the vehicle determines whether a wireless signal is received while driving (S101), and when the wireless signal is received, the peripheral vehicle distance calculator 300 measures the strength of each received wireless signal. By calculating the relative distance to the source of the radio signal (S102).

Accordingly, the surrounding vehicle position estimator 400 calculates the position of the source as shown in FIG. 6 using the positions of the radio signal receivers 211 and 212 and the calculated distance (S103), and connects a plurality of source lines to a triangle. (EFG, HJI) is formed (S104).

Thus, the actual source is determined by determining the cabinets of two symmetrical triangles. That is, the actual source is determined according to the position of the right angle in the triangle (S105). At this time, assuming that the radio signal transmitters 111 to 113 are located at the upper left front wheel and both rear wheel top of the vehicle, since the right angle in the triangle is present on the left rear wheel side, the right angle in the triangle exists on the right rear wheel side. (HJI) becomes a virtual source and the triangle on the right (EFG) is the location of the actual vehicle.

Thereafter, the surrounding vehicle traveling speed estimator 500 estimates the traveling speed using the moving distance and the traveling time of the vehicle for a predetermined time, and the driving direction of the vehicle according to the vertex E direction of the left side of the triangle at right angles. It is predicted (S106).

5 and 6 illustrate an example of estimating a driving direction, a position, and a traveling speed using one peripheral vehicle as a reference to the own vehicle, but this is based on the own vehicle. All of them can be estimated, and as shown in FIG. 11, the predicted driving direction of each peripheral vehicle can be displayed on the screen of the display unit 700 so that the driver can confirm.

As described above, the technology for detecting the surrounding vehicle according to the strength of the transmitted / received wireless signal of the present invention enables transmission and reception of the wireless signal even when an obstacle 800 exists between the host vehicle 810 and the surrounding vehicle 820. Therefore, it is possible to detect and increase the efficiency of detecting surrounding vehicles.

Hereinafter, a method of predicting a collision of surrounding vehicles using wireless communication according to an exemplary embodiment of the present invention will be described in detail.

First, the surrounding vehicle collision prediction system using wireless communication, after estimating the position, the driving direction and the traveling speed of the surrounding vehicles using the wireless communication as shown in Figure 4 (S201), the collision risk calculation unit 900 of the vehicle Based on the driving direction and the traveling speed, the possibility of proximity to the surrounding vehicle having the risk of primary collision is determined in consideration of the position, the traveling direction, and the traveling speed of the surrounding vehicles (S202). That is, as shown in FIG. 9, the peripheral vehicle 813 having the primary collision risk with the host vehicle 811 is considered in consideration of the driving direction and the traveling speed of the peripheral vehicle 813 having the primary collision risk with the host vehicle 811. By calculating the point of collision, it is possible to estimate that the proximity to the point K within 1m after 10m.

Thereafter, the collision risk calculation unit 900 calculates a braking clearance distance for the surrounding vehicle having the possibility of proximity (S203). That is, when the host vehicle 811 and the surrounding vehicle 813 are close to each other within 1 m from the K point, the collision risk calculator 900 may adjust the distance from the current position of the own car 811 to the K point by the braking allowance distance (10 m). Judging by).

Meanwhile, the collision risk calculator 900 determines a secondary collision risk with another vehicle when braking or steering is avoided in order to avoid collision with the surrounding vehicle 813 having a primary collision risk (S204). Referring to FIG. 9, when the host vehicle 811 performs braking to avoid a collision with a neighboring vehicle 813 having a risk of primary collision, the collision risk calculator 900 may be driven from the rear of the vehicle 814. The possibility of a second collision and the proximity of the neighboring vehicle 814 having a second collision risk are calculated and the braking clearance distance is calculated. That is, when the surrounding vehicle 814 having the risk of secondary collision is driven to the point of time (L point) where the host vehicle 811 brakes and stops (L point), the possibility of proximity is within 1 m and the braking clearance distance is 10 m.

Accordingly, the collision risk calculation unit 900 converts the collision risk using the proximity possibility and the braking clearance distance for each peripheral vehicle (S205). That is, the collision risk calculation unit 900 evaluates the first collision risk higher than the second collision risk, and when the first collision risk is determined, the probability of proximity is within 1 m and the braking free distance is high, the second risk is evaluated. When the risk of collision is judged, as the probability of proximity is less than 1m and the braking free distance is short, the risk is evaluated as high, so that the risk can be relatively evaluated for each vehicle.

For example, the risk of the surrounding vehicle 813 having a primary collision risk may be evaluated as 70%, and the risk of the surrounding vehicle 814 having a secondary collision risk 50%.

Thereafter, the collision risk calculator 900 displays the surrounding vehicles on the screen based on the host vehicle 811 as shown in FIG. 10, and displays the driving direction and the risk of the surrounding vehicles on the screen (S206). In this case, the driving speed may be displayed by the length of the arrow indicating the driving direction. For example, if the length of the arrow is long, the driving speed of the surrounding vehicles is fast, and if the length of the arrow is short, the driving speed of the surrounding vehicles is slow. In addition, depending on the color of the arrow may indicate the risk of the surrounding vehicles. For example, if the arrow is red, the risk is over 90%, if the arrow is orange, the risk is between 50% and 89%, and if it is green, the risk is less than 50%. Can be broken down. In this case, the risk or the driving speed may be indicated by the width of the arrow. In addition, the risk may be expressed numerically.

100, 111, 112, 113: wireless signal transmitter
200, 211, 212, 213: wireless signal receiver
300: peripheral vehicle distance calculation unit
400: surrounding vehicle position estimation unit
500: surrounding vehicle driving speed estimation unit
600: surrounding vehicle driving direction estimation unit
700: display unit
800: obstacle
900: collision risk calculation unit
811, 810: Own car
813, 814, 820: Nearby vehicles

Claims (5)

Calculating a distance from an origin of the radio signal according to the strength of the radio signal when a radio signal is received from a neighboring vehicle;
Estimating the position of the surrounding vehicle by calculating a position of the radio signal transmission point using the distance between the radio signal origin and the distance between the radio signal receiver;
Estimating a traveling speed and a driving direction of the surrounding vehicle from the position of the surrounding vehicle; And
Calculating the possibility of proximity and the braking clearance distance with the surrounding vehicle which may be the primary collision risk by using the position, the traveling speed and the driving direction of the surrounding vehicle
Surrounding vehicle collision prediction method using a wireless communication comprising a. The method according to claim 1,
When the braking or steering avoidance to avoid the first collision risk, further comprising the step of calculating the probability of close proximity to the vehicle having a second collision risk and the braking clearance distance, the surrounding vehicle collision prediction using wireless communication Way. The method according to claim 2,
Converting a degree of risk by using a proximity possibility and a braking clearance distance to the surrounding vehicle having the first collision risk; And
A process of converting the relative risk of the surrounding vehicle having the first collision risk by using the proximity possibility and the braking distance of the surrounding vehicle having the second collision risk.
Surrounding vehicle collision prediction method using a communication, characterized in that it further comprises. The method according to claim 1,
And a process of displaying a risk level, a driving direction, and a driving speed of the surrounding vehicles on the screen. The method of claim 4,
Peripheral vehicle collision prediction method using a wireless communication, characterized in that for distinguishing and displaying the risk, driving direction and driving speed for each surrounding vehicle by the length, color, width, etc. of the arrow.

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