JP2010072730A - Drive assistance device for vehicle - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To improve safety by improving a driver's driving operation to appropriate characteristics. <P>SOLUTION: A control unit 10 sets a risk Rd based on preceding vehicle information, computes a warning threshold Rw(k) to be compared with the risk Rd based on the risk Rd, monitors the difference between the risk Rd and the warning threshold Rw(k) in reduction in acceleration opening, and determines whether the current driving state is an adaptation completed state which is a driving state adapted to the driver's general driving characteristic. When the adaptation completed state is determined as a result, the warning threshold Rw(k) is compared with a preset value Rc, the driver's driving characteristic in general braking is compared with a preset driving characteristic in braking, and warning is performed to the driver by a reminder warning control device 8, whereby the driver's driving operation is improved to the appropriate characteristic. Further, warning control is executed by comparing the risk Rd with the warning threshold Rw(k). <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a vehicle driving support device that appropriately educates a driver about driving with respect to a preceding vehicle and improves safe driving.

  2. Description of the Related Art In recent years, in vehicles, various driving systems that recognize driving environments and support driving to enable safe driving based on information obtained from ITS (Intelligent Transport Systems), in-vehicle image processing systems, radar devices, etc. Support devices have been proposed and put into practical use.

For example, in Japanese Patent Application Laid-Open No. 7-325987, in an inter-vehicle distance alarm device that generates an alarm when a relative distance to a preceding vehicle becomes smaller than an alarm distance, an alarm distance that is set using the own vehicle speed and the relative speed with the preceding vehicle as parameters. Is disclosed in a manner that is corrected and set according to various driving situations (brake operation, accelerator operation, shift operation, etc.).
JP 7-325987 A

  However, in the inter-vehicle distance alarm device as disclosed in Patent Document 1 described above, it is possible to realize an alarm operation without a sense of incongruity by considering various driving situations, but driving characteristics of a driver that is likely to cause a collision (mainly, There is a problem that it is impossible to prevent fundamental accidents by improving the distance between vehicles is excessively short and the braking operation is inappropriate. In addition, too much consideration of various factors may make it difficult to know whether there is a need for driving improvements.

  The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a vehicle driving support device capable of improving the driving operation of a driver to an appropriate characteristic and improving safety.

  The present invention includes a preceding vehicle information detecting means for detecting preceding vehicle information, a risk setting means for setting a risk based on the preceding vehicle information, and the current driving state based on the risk as a normal driving characteristic of the driver. Adaptation determination means for determining whether or not the adaptation operation state is an adaptation completion state, and education means for paying attention to the normal operation characteristics of the driver in comparison with the preset characteristics in the adaptation completion state It is characterized by that.

  According to the vehicle driving support device of the present invention, it is possible to improve the driving operation of the driver to an appropriate characteristic and improve safety.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
1 to 6 show an embodiment of the present invention, FIG. 1 is a functional block diagram of a driving support device mounted on a vehicle, FIG. 2 is a flowchart of a driving support control program, and FIG. 3 is an adaptation determination for driving characteristics. FIG. 4 is a flowchart of an education processing routine for a driver, FIG. 5 is a characteristic diagram of risk set based on the inter-vehicle distance and relative speed, and FIG. 6 is an explanatory diagram of a comparison of deceleration characteristics during braking. .

  In FIG. 1, reference numeral 1 denotes a driving assistance device mounted on a vehicle. The driving assistance device 1 includes an image recognition device 2, a vehicle speed sensor 3, an accelerator opening sensor 4, a longitudinal acceleration sensor 5, and a brake pedal. A signal from the switch 6 is input to the control unit 10, and a signal is output from the control unit 10 to the alarm control device 7 and the warning alarm control device 8.

  The image recognition device 2 is, for example, a set of CCD cameras that are mounted at a fixed interval in front of a ceiling in a vehicle interior and that stereo-shoots an object outside the vehicle from different viewpoints, and a stereo image that processes image data from the CCD camera. And a processing device.

  The processing of image data from the CCD camera in the stereo image processing apparatus is performed as follows, for example. First, distance information is obtained from a set of stereo image pairs taken in the traveling direction of the host vehicle captured by the CCD camera from the corresponding positional deviation amount, and a distance image is generated.

  Based on this data, it is compared with a well-known grouping process or a frame (window) such as three-dimensional road shape data, side wall data, and three-dimensional object data stored in advance. Side wall data such as guardrails and curbs, and three-dimensional object data such as vehicles and pedestrians are extracted. The white line data, the side wall data, and the three-dimensional object data extracted in this way are assigned different numbers (ID numbers) for each data.

  As for three-dimensional object data (particularly vehicle data), the relative speed with the own vehicle is calculated from the temporal change in the distance from the own vehicle to each three-dimensional object, and the relative speed and the own vehicle speed are added. The speed of each vehicle is calculated. And, for example, among vehicles existing in a predetermined area set ahead, the vehicle closest to the host vehicle traveling in the same direction as the host vehicle is recognized as the preceding vehicle, and The inter-vehicle distance df and the relative speed Vf are output to the control unit 10 as preceding vehicle information. Thus, the image recognition device 2 is provided as a preceding vehicle information detection unit.

  The control unit 10 receives the preceding vehicle information (inter-vehicle distance df, relative speed Vf) from the image recognition device 2 described above, the vehicle speed sensor 3 from the host vehicle speed, the accelerator opening sensor 4 from the accelerator opening, and the longitudinal acceleration sensor 5 from the longitudinal acceleration Gx. A brake ON-OFF signal is input from the brake pedal switch 6. The risk Rd is set based on the preceding vehicle information, the alarm threshold Rw (k) to be compared with the risk Rd is calculated based on the risk Rd, and the risk Rd and the alarm threshold Rw (k) when the accelerator opening decreases. To determine whether or not the current operating state is an adaptation completed state, which is an operating state adapted to the normal driving characteristics of the driver. By this determination, when it is determined that the adaptation is completed, the alarm threshold value Rw (k) is compared with a preset value Rc, and further, the driving characteristics during normal braking of the driver are set in advance. Compared with the characteristic, the driver's driving operation is improved to an appropriate characteristic by paying attention to the driver by the warning alarm control device 8. Further, the alarm control device 7 issues an alarm by comparing the risk Rd with the alarm threshold value Rw (k).

  That is, as shown in FIG. 1, the control unit 10 mainly includes a risk calculation unit 11, an alarm threshold value calculation unit 12, an alarm determination unit 13, an adaptation determination unit 14, and an education processing unit 15.

  The risk calculation unit 11 receives an inter-vehicle distance df and a relative speed Vf of the preceding vehicle from the image recognition device 2. Then, for example, referring to the characteristic chart of the risk set based on the inter-vehicle distance and the relative speed shown in FIG. 5, the risk Rd is set and the alarm threshold value calculation unit 12, the alarm determination unit 13, the adaptation determination unit 14, education Output to the processing unit 15. That is, the risk calculation unit 11 is provided as a risk setting unit.

  As shown in FIG. 5, the risk Rd is set to be smaller as the inter-vehicle distance df is longer. Further, when the relative speed Vf increases in the direction of (+) and approaches the own vehicle, the risk Rd is set to be large, and conversely, the relative speed Vf increases in the direction of (−) and the absolute value increases. When moving away from the vehicle, the risk Rd is set small.

The alarm threshold value calculation unit 12 is provided as an alarm threshold value calculation unit, and the risk Rd is input from the risk calculation unit 11. Then, for example, the alarm threshold value Rw (k) is calculated by the following equation (1), and is output to the alarm determination unit 13, the adaptation determination unit 14, and the education processing unit 15.
Rw (k) = Rw (k-1) + (Rd-Rw (k-1)) / n (1)
Here, the suffix k of the alarm threshold value Rw (k) indicates that the value is updated this time, and k-1 indicates the value that was updated last time. N is a predetermined value.

  The alarm determination unit 13 receives the risk Rd from the risk calculation unit 11 and the alarm threshold Rw (k) from the alarm threshold calculation unit 12. Then, the risk Rd and the alarm threshold value Rw (k) are compared, and when Rd> Rw (k), a signal is output to the alarm control device 7, for example, an alarm display in the display screen or instrument panel, an audio signal The collision warning with the preceding vehicle is executed by the above. That is, the alarm determination unit 13 is provided as an alarm control unit.

  The adaptation determination unit 14 receives the accelerator opening from the accelerator opening sensor 4, the risk Rd from the risk calculation unit 11, and the alarm threshold Rw (k) from the alarm threshold calculation unit 12. Then, the absolute value | Rd−Rw (k) | of the difference between the risk Rd and the alarm threshold value Rw (k) when the accelerator is returned is compared with a preset threshold value E.

  As a result of this comparison, if | Rd−Rw (k) | <E, the adaptive determination counter C is incremented (C = C + 1), and if | Rd−Rw (k) | ≧ E, the adaptive determination counter C Is set by decrementing (C = C-1), and when this adaptive determination counter C exceeds the set value C1, the current operation state is an operation completion state adapted to the normal operation characteristics of the driver. And the adaptive determination flag Fa is set (Fa = 1). On the other hand, when the adaptive determination counter C is equal to or smaller than the set value C1, it is determined that the adaptation is not completed, and the adaptive determination flag Fa is cleared (Fa = 0).

  Note that, when the setting of the adaptive determination flag Fa is not executed, that is, when the accelerator is not returned, the current value of the adaptive determination flag Fa is maintained.

  Thus, the value of the adaptation determination flag Fa set by the adaptation determination unit 14 is output to the education processing unit 15. That is, the adaptation determination unit 14 is provided as an adaptation determination unit.

  The education processing unit 15 includes the vehicle speed sensor 3 from the vehicle speed sensor, the longitudinal acceleration sensor 5 from the longitudinal acceleration Gx, the brake pedal switch 6 from the brake ON-OFF signal, the risk calculation unit 11 to the risk Rd, and the alarm threshold value calculation unit. The warning threshold value Rw (k) is input from 12 and the value of the adaptive determination flag Fa is input from the adaptive determination unit 14. Then, when the adaptation is completed (Fa = 1), the alarm threshold value Rw (k) is compared with a preset value Rc. If Rw (k)> Rc, the alarm threshold value Rw (k) is determined in advance. The education target value Rt (k) for the driver is set by subtracting the set value ΔRt1 (Rt (k) = Rw (k) −ΔRt1).

  Here, the preset value Rc is an exemplary value for performing safe driving. Therefore, the alarm threshold value Rw (k) calculated by the alarm threshold value calculation unit 12 is the preset value Rc. If it is still higher, the educational target value Rt (k) is gradually brought closer to Rc by decreasing ΔRt1 from the alarm threshold value Rw (k).

  Further, the education processing unit 15 compares the driving characteristics of the driver during normal braking with the driving characteristics set during braking in advance, and if the driving characteristics cannot be regarded as safe driving characteristics, the education target value Rt (k) for the driver. Is reduced by ΔRt2 to set the educational target value Rt (k) for the driver (Rt (k) = Rt (k) −ΔRt2).

  In a dangerous braking operation, the deceleration is high in the second half of the braking operation, and there is a possibility that it cannot be stopped on a slippery road surface. Therefore, such dangerous driving characteristics are educated to a suitable driving operation.

  Specifically, as shown in FIG. 6, from the time t0 when the brake pedal is turned on to the time t2 after the predetermined time assuming the time required to depress the brake to the time t2 until the host vehicle speed decreases to a predetermined value or less. By comparing the deceleration characteristics, it is determined whether or not the driving characteristics are safe. As shown by the solid line in FIG. 6, the safe (ideal) driving characteristic is that the deceleration in the second half (time t3 to t2) is lower than the deceleration in the first half (time t1 to t3), or Almost equal. Therefore, when the detected driving characteristic of the driver is larger than the set value by the average deceleration Gx2 in the latter half of braking, for example, as indicated by the broken line in FIG. Is determined not to be a safe driving characteristic.

  In the present embodiment, whether or not the driving characteristic is safe is determined by comparing the driving characteristic during normal braking of the driver with the driving characteristic set during braking in advance. The deceleration at the time of the braking operation may be determined by integrating the first half and the second half of the deceleration, and comparing the ratio of the mutual integral values as a preset value.

  In this embodiment, the determination of the driving characteristics of the driver is made by a braking operation. However, the determination may be made by an accelerator operation, a steering wheel operation, or the like.

  Then, after setting the educational target value Rt (k) for the driver by comparing with the set value Rc and the driving characteristics during braking, the risk Rd is compared with the educational target value Rt (k). In the case of Rd> Rt (k), a signal is output to the warning alarm control device 8 to alert the driver by, for example, an alarm display in the display screen or the instrument panel, an audio signal, or the like. At this time, the alerting alarm control device 8 alerts the user with a sound having a longer interval than that of the alarm control device 7 or a color or shape display that is visually weak. Thus, the education processing unit 15 is provided as an education means.

  Next, the driving support control program executed by the driving support device 1 will be described with reference to the flowcharts of FIGS. First, parameters required in step (hereinafter abbreviated as “S”) 101, that is, preceding vehicle information (inter-vehicle distance df, relative speed Vf), own vehicle speed, accelerator opening, longitudinal acceleration Gx, brake ON-OFF signal Is read.

  Next, the process proceeds to S102, and the risk calculation unit 11 sets the risk Rd with reference to the risk characteristic diagram set based on the inter-vehicle distance and the relative speed shown in FIG.

  Next, proceeding to S103, the warning threshold value calculation unit 12 calculates the warning threshold value Rw (k) by the above-described equation (1).

  Next, the process proceeds to S104, where the adaptive determination unit 14 performs an adaptive determination process for driving characteristics described later, and an adaptive determination flag Fa is set.

  Then, the process proceeds to S105, where the risk determination unit 13 compares the risk Rd with the alarm threshold value Rw (k). If Rd> Rw (k), the process proceeds to S106 and a signal is output to the alarm control device 7, for example, A collision warning with a preceding vehicle is executed by an alarm display on the display screen or the instrument panel, an audio signal, or the like.

  If Rd ≦ Rw (k) in S105, and after alarm control is executed in S106, the process proceeds to S107, where the education processing unit 15 executes education processing for the driver described later and exits the program.

  FIG. 3 shows an adaptation determination processing routine for driving characteristics executed in S104 described above. First, in S201, it is determined whether or not the accelerator is returned. If the accelerator opening is returned as a result of this determination, the routine proceeds to S202, where the absolute value | Rd−Rw (k) | of the difference between the risk Rd and the alarm threshold value Rw (k) is greater than the preset threshold value E. It is determined whether or not it is small.

  If | Rd−Rw (k) | <E as a result of the determination in S202, the process proceeds to S203, the adaptive determination counter C is incremented (C = C + 1), and | Rd−Rw (k) | ≧ E Advances to S204, the adaptation determination counter C is decremented (C = C-1), and the process advances to S205.

  In S205, it is determined whether or not the adaptive determination counter C exceeds the set value C1, and if the adaptive determination counter C exceeds the set value C1, the process proceeds to S206, where it is determined that the adaptation is complete, and an adaptive determination flag is set. Set Fa (Fa = 1). If the adaptive determination counter C is equal to or smaller than the set value C1, the process proceeds to S207, where it is determined that the adaptation is not completed, and the adaptive determination flag Fa is cleared (Fa = 0).

  On the other hand, if it is determined in S201 described above that the accelerator is not returned, the process proceeds to S208, and the current value of the adaptation determination flag Fa is maintained.

  After setting the value of the adaptive determination flag Fa in S206, S207 or S208 described above, the process proceeds to S209, where the value of the adaptive determination flag Fa is output, and the routine is exited.

  Next, FIG. 4 shows an education processing routine for the driver executed in S107 described above. First, in S301, whether the adaptation determination flag Fa is set (Fa = 1), that is, the current driving state is determined. It is determined whether the driving state is adapted to the normal driving characteristics of the driver. As a result of the determination, if Fa = 1, the process proceeds to S302 and subsequent steps, and if Fa = 0, the routine is exited.

  When Fa = 1 and the process proceeds to S302, a comparison is made between the alarm threshold value Rw (k) and a preset value Rc, which is an exemplary value for performing safe driving. If Rw (k)> Rc, In S303, if Rw (k) ≦ Rc, the routine is exited.

  In S303, the education target value Rt (k) for the driver is set by subtracting a preset value ΔRt1 from the alarm threshold value Rw (k) (Rt (k) = Rw (k) −ΔRt1).

  Then, the process proceeds to S304, and as described above, when the driving characteristic during normal braking of the driver is compared with the driving characteristic set during braking in advance, if the driving characteristic can be regarded as safe driving, the process jumps to S306 to perform safe driving. If it cannot be regarded as a characteristic, the process proceeds to S305, where ΔRt2 is subtracted from the educational target value Rt (k) for the driver to set the educational target value Rt (k) for the driver (Rt (k) = Rt (k) −ΔRt2 ), And proceeds to S306.

  In this way, the risk Rd is compared with the educational target value Rt (k) in S306, and if Rd> Rt (k), the process proceeds to S307 to output a signal to the alert warning control device 8 in order to educate the driver. For example, the driver is alerted by an alarm display on the display screen or the instrument panel, an audio signal, etc., and the routine is exited. In the case of Rd ≦ Rt (k), it is determined that the driving characteristics of the driver are suitable driving characteristics, so that the routine is exited without performing a warning alert.

  Thus, according to the embodiment of the present invention, the risk Rd is set based on the preceding vehicle information, the alarm threshold Rw (k) to be compared with the risk Rd is calculated based on the risk Rd, and the accelerator opening is decreased. The difference between the risk Rd and the warning threshold value Rw (k) is monitored, and it is determined whether or not the current driving state is an adaptation completed state that is an operating state adapted to the normal driving characteristics of the driver. As a result of the determination, the alarm threshold value Rw (k) is compared with a preset value Rc when the adaptation is completed, and further, the driving characteristic at the time of normal braking of the driver is set as the driving characteristic at the time of braking. In comparison, the driver's driving operation is improved to an appropriate characteristic by paying attention to the driver by the warning alarm control device 8. Therefore, when the current driving state is a driving state adapted to the normal driving characteristics of the driver, the driver is alerted, so that the driver can be alerted at an appropriate timing. The driving operation can be improved to an appropriate characteristic to improve safety.

Functional block diagram of a driving support device mounted on a vehicle Flow chart of driving support control program Flow chart of processing routine for adapting to operating characteristics Flow chart of education processing routine for driver Characteristics of risk set based on inter-vehicle distance and relative speed Illustration of comparison of deceleration characteristics during braking

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Driving assistance apparatus 2 Image recognition apparatus (preceding vehicle information detection means)
DESCRIPTION OF SYMBOLS 3 Vehicle speed sensor 4 Accelerator opening sensor 5 Longitudinal acceleration sensor 6 Brake pedal switch 7 Alarm control device 8 Warning alarm control device 10 Control unit 11 Risk calculation part (risk setting means)
12 Alarm threshold value calculation unit (alarm threshold value calculation means)
13 Alarm judgment part (alarm control means)
14 Adaptation judgment part (Adaptation judgment means)
15 Education processing department (education means)

Claims (6)

Preceding vehicle information detecting means for detecting preceding vehicle information;
A risk setting means for setting a risk based on the preceding vehicle information;
Adaptive determination means for determining whether or not the current driving state is an adaptation completed state that is a driving state adapted to the normal driving characteristics of the driver based on the risk;
Education means to be careful when comparing the normal driving characteristics of the driver with the preset characteristics when the adaptation is completed,
A vehicle driving support apparatus comprising: An alarm threshold value calculation means for calculating an alarm threshold value to be compared with the risk based on the risk,
2. The vehicle driving support apparatus according to claim 1, wherein the adaptation determination unit monitors the difference between the risk when the accelerator opening is reduced and the alarm threshold value and determines the adaptation completion state. .   In the adaptation completion state, the educational means compares the warning threshold value with a preset value to set a warning threshold value, and compares the warning threshold value with the risk. The vehicle driving support device according to claim 2, wherein:   In the adaptation completion state, the educational means compares the driving characteristics stored in advance with the driving characteristics of the driver, and sets a threshold value for the attention according to the comparison result. The vehicle driving support device according to claim 3, wherein:   5. The vehicle driving support apparatus according to claim 4, wherein the driving characteristic stored in advance is a characteristic of a deceleration change during braking.   The vehicle driving support device according to any one of claims 1 to 5, further comprising alarm control means for executing an alarm when the risk is greater than the alarm threshold.

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