JP2011180394A - Drive grading system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a drive grading system for facilitating the grading of drive of a driver. <P>SOLUTION: In this drive grading system, a living body sensor detects driver's biological information (S11), and calculates driver's living body recognition degree based on the detected biological information (S12 and S13). A video means acquires information around a vehicle (S14), and calculates the periphery situation degree based on the information on a detected obstacle around the vehicle (S15 and S16). As the living body recognition degree and periphery situation degree, the living body recognition degree ratio and periphery situation degree ratio are calculated based on the maximum value and the normal value of the drive situation degree (S18 and S19). Then, the living body recognition degree ratio is compared with the periphery situation degree ratio (S20), and the drive is graded based on the matching degree of both ratios (S21). <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a driving scoring system for a vehicle, and more particularly to a driving scoring system that evaluates a driver's recognition of driving conditions.

In recent years, driving information for a driver by combining obstacle information around the vehicle such as a pedestrian or other vehicle obtained by a camera mounted on the vehicle and the biological information of the driver obtained by a biometric sensor provided on the vehicle. A device that supports the above has been proposed.
For example, in the vehicle safe driving support system of Patent Document 1, a configuration including a biosensor, an information input unit, and a driving control support unit is disclosed. The biological sensor acquires biological reaction data reflecting the mental state of the vehicle driver, and the information input means acquires information on the presence / absence of a peripheral obstacle and distance from the obstacle from information such as a peripheral monitoring camera. When the distance between the host vehicle and the obstacle is less than or equal to the threshold from the acquired information of the information input means, the driving control support unit determines this as an abnormal approach event, and the biological reaction data is within a stable range at the determined point. If it is, the operation history information of the vehicle at the point and the vehicle position information are recorded as weak point information associated with each other.

  In addition, in order to prevent the occurrence of an accident related to road traffic, a driving skill determination means that utilizes information on a so-called “near-miss reaction” indicating a near-miss situation even if an accident does not occur. The driving skill determination means determines the skill of the driver from the near-miss reaction obtained from the biosensor and the distance between the host vehicle and the obstacle. For example, when the driver makes a near-miss reaction despite the sufficient distance between the host vehicle and the obstacle, the driving skill determining means determines that the driver's driving skill is low.

JP 2007-65997 A

However, in the safe driving support system for a vehicle described in Patent Document 1, when the driver does not recognize the abnormal approach event, the point is recorded as a weak point. . Therefore, the driver can recognize the weak point, but cannot evaluate how much the driver is aware of the abnormal situation at the weak point.
The driving skill determination means evaluates the driving skill from the distance between the near-miss reaction and the obstacle, but can evaluate the driver's skill (scoring of driving) only when the near-hat reaction occurs.
In addition, since the information of completely different dimensions such as the distance between the biological reaction data of the biosensor and the obstacle is compared, the problem that the process for scoring the driving becomes complicated when scoring the driving is attempted. There is a point.

  The present invention has been made in view of the above-described problems, and an object of the present invention is to provide a driving scoring system that can facilitate driving scoring by the driver.

  In order to achieve the above object, the present invention provides a driver using biological information detecting means for detecting biological information of a driver, obstacle detecting means for detecting obstacles around the vehicle, and information from the biological information detecting means. A living body recognition degree calculating means for calculating a living body recognition degree in the vehicle, a surrounding situation degree calculating means for calculating a surrounding situation degree around the vehicle from information of the obstacle detecting means, Biometric recognition rate ratio calculating means for calculating a biometric recognition rate ratio as a ratio based on the normal value of the biometric recognition level at the time, and the maximum value of the peripheral situation level and the normal value of the peripheral situation level during normal driving The surrounding situation degree ratio calculating means for calculating the surrounding situation degree ratio as a ratio based on the above, and comparing the calculated biometric recognition degree ratio with the surrounding situation degree ratio, and scoring the driver's driving from the degree of coincidence of both ratios hand Characterized by comprising a and.

According to the present invention, since the degree of biological recognition calculated based on the biological information and the value of the surrounding situation calculated from the information on obstacles around the vehicle are calculated as percentages, the degree of biological recognition and the degree of surrounding situation are calculated. Comparison can be made in the same dimension, and driving can be scored easily.
Here, the biometric recognition degree is a value indicating the degree to which the driver feels an abnormal situation based on the driver's biometric information, and the peripheral situation degree is a value that indicates that the driver is abnormal based on information around the vehicle. It is a value that indicates the degree to which the situation should be felt.

  Further, the surrounding situation degree calculating means determines a correction value for calculating the surrounding situation degree based on the detected biological information, and calculates the surrounding situation degree based on the determined correction value.

  In this case, since the correction value determined by the driver's biometric information is used to calculate the peripheral situation degree, the peripheral situation degree can be adjusted to the individual differences due to the driving skill of the driver's biological information and individual senses. It is possible to eliminate the difference in the scored points due to individual differences.

  In the present invention, the driving scoring system includes a warning unit that warns the driver when the score scored by the scoring unit is equal to or less than a predetermined score.

  In this case, if the driver's driving is less than a predetermined score, that is, if the driver's recognition is different for a driving situation with a low scoring score, a warning is given by the warning means. Therefore, the driver can recognize during driving that he / she has performed such driving.

  In the present invention, the biometric information detection means detects a driver's heartbeat, and the biometric recognition degree calculation means calculates using an instantaneous heartbeat obtained from the heartbeat.

  In this case, since the instantaneous heart rate obtained from the heart rate is used to calculate the biometric recognition level and the peripheral situation level, the calculation of the biometric recognition level and the peripheral status level is further facilitated by using the correlation between the instantaneous heartbeats. .

  In the present invention, the driving scoring system includes a recording unit, and the obstacle detecting unit includes an imaging unit that captures video information around the vehicle, and the score scored by the scoring unit is equal to or less than a predetermined score. Is characterized in that video information is recorded in a recording means.

  In this case, the driver can view the video around the vehicle when driving with different driver recognition with respect to the driving situation later, so the situation at that time can be confirmed.

  In the present invention, the driving scoring system includes route setting means for setting a travel route to the driver, and the route setting means scores when the score scored by the scoring means is equal to or less than a predetermined score. The vehicle travel route is instructed so as to increase the score.

  In this case, when driving with a different driver's recognition with respect to the driving situation, the driving route of the vehicle is set so that the scored points are higher. You can drive safely.

  In the present invention, driving scores are made by comparing the values calculated by using the biometric recognition degree and the surrounding situation degree as a ratio, so that driving can be easily scored.

It is a block diagram which shows the structure of the driving | operation scoring system which concerns on the 1st Embodiment of this invention. It is a figure which shows an example of the signal in the biometric sensor of the driving | operation scoring system which concerns on the 1st Embodiment of this invention. (A) is a figure explaining the case where the vehicle which concerns on the 1st Embodiment of this invention passes the vicinity of a utility pole, (B) is a graph showing the surrounding condition degree in this case. (A) is a figure explaining the case where the vehicle which concerns on the 1st Embodiment of this invention passes the vicinity of a utility pole, (B) is a graph showing the surrounding condition degree in this case. It is a flowchart which shows the correction | amendment by the biometric information of the surrounding condition degree in the driving scoring system which concerns on the 1st Embodiment of this invention. It is a flowchart which shows the scoring of the driving | operation in the driving scoring system which concerns on the 1st Embodiment of this invention. It is a block diagram which shows the structure of the driving | operation scoring system which concerns on the 2nd Embodiment of this invention.

(First embodiment)
Hereinafter, the driving scoring system according to the first embodiment will be described with reference to FIG. FIG. 1 is a block diagram showing a configuration of a driving scoring system 1 mounted on a vehicle.
The driving scoring system 1 detects imaging means 2 for photographing an obstacle existing around the vehicle, video analysis means 3 for analyzing a video photographed by the imaging means 2, and biological information of a driver driving the vehicle. The biological sensor 4, the biological information analyzing means 5 for analyzing the biological information detected by the biological sensor 4, and the arithmetic processing means 6 for scoring the driving of the driver from information such as the video analyzing means 3 and the biological information analyzing means 5. It consists of and.
The driving scoring system 1 includes a speed sensor 7 that detects the speed of the vehicle, a warning unit 8 that gives a warning to the driver, a display 9 that presents information to the driver, and an imaging unit 2. And a drive recorder 10 for recording the photographed video.

  Here, the biological information detecting means of the present invention is constituted by the biological sensor 4, and the obstacle detecting means of the present invention is constituted by the imaging means 2 and the video analyzing means 3. Further, the biometric recognition degree calculating means of the present invention is constituted by the biometric information analyzing means 5 and the arithmetic processing means 6, and the surrounding situation degree calculating means is constituted by the arithmetic processing means 6. The biological recognition degree ratio calculating means, the surrounding situation degree ratio calculating means, and the scoring means of the present invention are constituted by the arithmetic processing means 6.

The imaging means 2 captures an obstacle existing around the vehicle. For example, a stereo camera and a near-infrared camera that are mounted in the vicinity of a rearview mirror in the vehicle interior and capture the front of the traveling vehicle It is composed of Images taken by the stereo camera and near-infrared camera are transmitted to the image analysis means 3.
The stereo camera is composed of two cameras that are installed on the left and right at a constant interval. The stereo camera is based on the deviation (parallax) of the obstacle ahead of the vehicle in the images taken by the two cameras. The distance to the obstacle can be calculated.
On the other hand, the near-infrared camera projects near-infrared light toward the front of the vehicle and visualizes the reflected light. Since it uses near-infrared light, it can be used for obstacles, etc. even at night. You can get a picture.
By using a stereo camera and a near-infrared camera in combination, information on obstacles around the vehicle can be obtained regardless of day or night.
The video analysis means 3 analyzes the video taken at the same time by the stereo camera and the near-infrared camera, identifies whether it is an obstacle, specifies the shape and type of the recognized obstacle, and the obstacle and the vehicle The distance and relative speed are calculated. Information about the obstacle such as the shape and distance of the obstacle obtained by the video analysis means 3 is sent to the arithmetic processing means 6.

The biosensor 4 detects biometric information that reflects the driver's mental state. In this embodiment, the biosensor 4 detects the driver's heartbeat.
The biometric sensor 4 is a wristwatch type that is used by being attached to the wrist. The biosensor 4 detects the heartbeat waveform at all times during driving. Information from the biosensor 4 is transmitted to the biometric information analysis means 5 wirelessly.
The biological information analyzing means 5 calculates the instantaneous heart rate HR of the driver by analyzing the signal of the heartbeat waveform obtained by the biological sensor 4. Information on the calculated instantaneous heartbeat HR of the driver is transmitted to the arithmetic processing means 6.
The speed sensor 7 detects the speed of the running vehicle, and information on the detected speed of the vehicle is transmitted to the arithmetic processing means 6.

The arithmetic processing means 6 performs driving scoring based on the information sent from the biological information analyzing means 5, the information sent from the video analyzing means 3, and the information sent from the speed sensor 7.
Specifically, the biometric recognition degree Db is calculated from the information of the biometric information analysis means 5, and the surrounding situation degree Ds is calculated from the information sent from the video analysis means 3 and the vehicle speed information sent from the speed sensor 7. Is calculated. Then, comparison work is performed, the operation is scored, and a score is obtained.
The arithmetic processing means 6 includes a storage unit 11, and a program for executing an algorithm such as calculation of the surrounding situation degree Ds and scoring of driving is stored in the storage unit 11.
The warning means 8 gives a warning about safe driving to the driver, and emits a warning sound or warning message to the driver from a speaker (not shown) based on an instruction from the arithmetic processing means 6, for example. .

The drive recorder 10 records the video imaged by the imaging unit 2 based on the instruction of the arithmetic processing unit 6, and the time, the speed of the vehicle, the score of driving, etc. are recorded along with the stored video. Record together. The recorded video can be displayed on a display 9 mounted on the vehicle.
Here, the recording means of the present invention is constituted by the drive recorder 10.
The display 9 displays information necessary for the driver, such as vehicle information, and is a head-up display or a liquid crystal display. Moreover, you may share with the screen of the navigation system with which the vehicle was equipped.

Here, the biometric recognition degree Db will be described.
The biometric recognition degree Db is a value calculated based on the heartbeat information of the biosensor 4, and is calculated using the fact that a biological reaction caused by a mental load during driving by the driver appears in the heartbeat.
FIG. 2 is an example of a signal (electrocardiogram) from the biosensor 4. The signal from the biosensor 4 shows a periodic waveform, and there are extreme values such as P wave, Q wave, R wave, S wave, and T wave in one cycle. And the interval of the R wave which shows the maximum value among the extreme values is called the RR interval. The instantaneous heart rate HR is calculated by converting the RR interval to X as the heart rate per minute. That is, the instantaneous heart rate HR is
HR = 60 / X (1)
Is calculated as
This instantaneous heart rate HR has a correlation with the degree that the driver feels an abnormal situation during driving. Therefore, the biometric recognition level Db is related to the instantaneous heart rate HR as follows:
Db = B × HR (2)
It can be expressed as.
Here, B is a correlation coefficient.
Thus, the biometric recognition degree Db of the driver who is driving can be calculated from the instantaneous heart rate HR. That is, the degree (biological recognition degree Db) that the driver actually feels an abnormal situation can be obtained from the information of the biometric sensor 4.
However, the instantaneous heart rate HR has an upper limit value, and the instantaneous heart rate HR does not increase any further. Therefore, it is determined that the biometric recognition level Db is maximum at the upper limit value at which the instantaneous heart rate HR is maximum. The upper limit value of the instantaneous heart rate HR is a value having individual differences depending on the driver.
The biometric recognition level Db calculated in this way is used for driving scoring.

Next, the peripheral situation degree Ds will be described.
The surrounding situation degree Ds is obtained from information around the vehicle.
As an example, a case will be described where there is a utility pole E as an obstacle on the left front side of the vehicle as shown in FIG. 3A and the vehicle M is about to pass through the vicinity of the utility pole E.
In general, when a driver who is driving tries to pass the vicinity of the utility pole E, the closer the distance between the vehicle M and the utility pole E, the more likely it is that there is a risk of contact. The degree of feeling as a situation increases. The degree of feeling this abnormal situation increases rapidly as the distance between the vehicle M and the utility pole E decreases (closer to the utility pole E).

As described above, since there is a correlation between the degree of the abnormal situation felt by the driver and the instantaneous heart rate HR, the degree of feeling of the abnormal situation received from the utility pole E around the vehicle, that is, the degree of ambient situation Ds The relationship between the instantaneous heart rate HR is
Ds = B × HR (3)
It can be expressed as.
The distance L between the driver's instantaneous heart rate HR and the utility pole E is
HR = A × exp (− (LC) / h) (L ≧ C) (4)
Or
HR = A (L <C) (5)
It is known to have a relationship with
Here, A and h represent correction coefficients. The correction coefficient is a value that varies depending on individual differences and vehicle speed. C is a boundary distance described later.
The peripheral situation degree Ds is calculated based on the information of the obstacle by analyzing the shape and distance of the obstacle from the video imaged by the imaging unit 2.
Further, as described above, the instantaneous heart rate HR has an upper limit and does not exceed the upper limit value. Therefore, the instantaneous heart rate HR has a boundary distance C at which the maximum value is obtained.

Then, when the surrounding situation degree Ds when the vehicle speed is 60 km / h is calculated from the expressions (3), (4), and (5) with the position of the utility pole E as the origin, it is expressed as shown in FIG. As shown in FIG. 3B, the peripheral situation degree Ds increases exponentially as it approaches the obstacle, and reaches a maximum value at the time of the boundary distance C.
At a distance closer than the boundary distance C, the instantaneous heart rate HR reaches the upper limit value, and therefore the peripheral situation degree Ds changes at the upper limit value Ds _max . Thereby, the distribution of the surrounding situation degree Ds with respect to the utility pole E of the driver | operating driver | operator is known.
In this way, it is possible to calculate the degree of an abnormal situation (peripheral situation degree Ds) that the driver should naturally feel from the information on obstacles around the vehicle.

On the other hand, the degree to which the driver feels an abnormal situation is greatly influenced by the speed of the vehicle M, and the slower the speed, the more abnormal the driver is with respect to the obstacle. The degree of feeling becomes lower. Accordingly, the slope of the surrounding situation degree Ds is gentle when the speed is 30 km / h as shown by the dotted line in FIG. 3B, for example. Then, the peripheral situation degree Ds does not reach the upper limit value Ds _max, and there is no region where the peripheral situation degree Ds is constant (the boundary distance C is eliminated).
Moreover, as shown in FIG. 4A, a case will be described in which the utility pole E is present with a gap L1 between the left and right of the front of the vehicle M, and the vehicle M is about to pass therethrough. At this time, the peripheral situation degree Ds is calculated based on the equations (3), (4), and (5) in the left and right utility poles E shown in FIG. Then, as shown in FIG. 4B, the distribution of the degree of surrounding situation Ds when the vehicle speed of the left and right utility poles E is 60 km / h is calculated. Here, in the region where the surrounding situation degree Ds from the right utility pole E and the surrounding situation degree Ds from the left utility pole E overlap, the larger one of the obtained surrounding situation degrees Ds is determined as the surrounding situation degree Ds. Calculated as Ds.
However, for the region where the surrounding situation degree Ds overlaps, the surrounding situation degree Ds may be calculated by adding the respective surrounding situation degrees Ds.

In this way, the surrounding situation degree Ds is calculated for each obstacle present in front of the vehicle M, and the distribution of the surrounding situation degree Ds due to the obstacle of the driver during driving is known.
Accordingly, since the image analysis means 3 recognizes the shape and distance of the obstacle, the arithmetic processing means 6 uses the information on the speed of the speed sensor 7 to calculate the surrounding situation degree Ds for each recognized obstacle. It calculates using Formula (3), (4), (5), and calculates the surrounding situation degree Ds in the present vehicle position and speed comprehensively from the distribution of the surrounding situation degree Ds. The degree of surrounding situation Ds calculated in this way is used for scoring driving.
The mathematical expression (1) described above is stored in the biological information analyzing means 5, and the information of the expressions (2), (3), (4), and (5) is stored in the storage unit 11 of the arithmetic processing means 6.

By the way, even if the surrounding obstacles are the same, the degree of the abnormal situation that the driver feels during driving varies depending on the driving skill and personal feeling. Therefore, an individual difference occurs in the instantaneous heart rate HR depending on the driver, and thus a difference occurs in the biometric recognition level Db. Therefore, it is necessary to correct the surrounding situation degree Ds according to individual differences in the biometric recognition degree Db.
Next, the flow regarding the correction in the calculation of the peripheral situation degree Ds will be described with reference to FIG.
The storage unit 11 stores in advance an algorithm of the surrounding situation degree Ds for a general driver and a value related to biological information such as an instantaneous heart rate HR at a value Ds1 having a surrounding situation degree Ds for a general driver. ing.
First, when the driver starts driving, the arithmetic processing means 6 uses the algorithm of the peripheral situation degree Ds of the general driver stored in the storage unit 11 based on the information from the video analysis means 3, and the surrounding situation degree Ds. Is calculated (S1).
The arithmetic processing means 6 monitors whether or not the value of the surrounding situation degree Ds becomes Ds1 (S2).
Then, when the value of the surrounding situation degree Ds becomes Ds1, the arithmetic processing means 6 acquires biological information such as the instantaneous heartbeat of the driver when the value of the surrounding situation degree Ds is Ds1 (S3).
The arithmetic processing means 6 compares the acquired driver's biometric information with the biometric information in which the value of the peripheral situation degree Ds of the general driver stored in the storage unit 11 in advance is Ds1 (S4).
The arithmetic processing means 6 determines a correction value for calculating the peripheral situation degree Ds from the compared biological information (S5).
An algorithm for calculating the degree of surrounding situation Ds for the driver currently driving from the determined correction value, specifically, the correlation coefficient B, the correction coefficients A and h, and the boundary distance C are calculated. An algorithm is determined in consideration of correction values due to individual differences among drivers (S6).
In this way, an algorithm for calculating the degree of surrounding situation Ds that eliminates individual differences due to the driving skill of the driver and personal feeling is determined.
Then, the arithmetic processing means 6 calculates the surrounding situation degree Ds using the algorithm for calculating the determined surrounding situation degree Ds.

Next, the flow of driving scoring in the driving scoring system 1 will be described with reference to FIG.
First, the biometric sensor 4 acquires information on the heartbeat of the driver (S11) and transmits it to the biometric information analysis means 5.
For the acquired biological information, the instantaneous heart rate HR is calculated by the biological information analysis means 5 (S12). The calculated instantaneous heart rate HR is transmitted to the arithmetic processing means 6.
The arithmetic processing means 6 calculates the biometric recognition degree Db from the transmitted instantaneous heart rate HR (S13). The biometric recognition degree Db is calculated by the above-described equation (1).
On the other hand, the imaging unit 2 captures the front of the vehicle (S14), and the captured video is transmitted to the video analysis unit 3. The acquired video is analyzed by the video analysis means 3 to recognize the shape of the obstacle and the distance between the obstacle and the vehicle (S15). Information on the analyzed obstacle is transmitted to the arithmetic processing means 6.
On the other hand, the speed sensor 7 detects the speed of the traveling vehicle and transmits information on the speed of the vehicle to the arithmetic processing means 6 (S16).
The arithmetic processing means 6 calculates the peripheral situation degree Ds by using the algorithm for calculating the peripheral situation degree Ds determined by the flow shown in FIG. 5 based on the information from the video analysis means 3 and the speed sensor 7 (S17). ).
In this way, the biometric recognition degree Db and the surrounding situation degree Ds are calculated.

Then, the value of the biometric recognition degree Db is set as a ratio to the difference by applying a difference (value interval) between a predetermined maximum value of the biometric recognition degree Db and a normal value of the biometric recognition degree Db as 100. (S18).
On the other hand, the value of the surrounding situation degree Ds is obtained by applying the difference between the maximum value of the surrounding situation degree Ds and the normal value of the surrounding situation degree Ds determined in advance by the arithmetic processing means 6 to a value defined as 100. Calculated as a ratio (S19).
As a result, the biometric recognition degree Db is calculated as a percentage value of the biometric recognition degree Dbr, and the peripheral situation degree Ds is calculated as a percentage value as the peripheral situation degree ratio Dsr.
Here, the maximum values of the biometric recognition degree Db and the surrounding situation degree Ds are the driving situation degrees when the driver feels an abnormal situation and the instantaneous heart rate HR becomes the upper limit (biological recognition degree Db, surrounding situation degree Ds). (For example, the value Ds _max in FIG. 3), and the normal values of the biometric recognition degree Db and the surrounding situation degree Ds are, for example, the driving situation degree when the vehicle is stopped or while driving on a straight road where no obstacle is recognized. (Biometric recognition degree Db, surrounding situation degree Ds), that is, the value of the driving situation degree (biological recognition degree Db, surrounding situation degree Ds) during normal driving where the driver does not feel an abnormal situation.
In this embodiment, the maximum value and the normal value of the driving situation degree (biological recognition degree Db, surrounding situation degree Ds) are calculated based on the instantaneous heart rate HR, both of the living body recognition degree Db and the surrounding situation degree Ds. The same value is used to calculate the biometric recognition rate ratio Dbr and the surrounding situation level ratio Dsr.

Then, both the calculated biometric recognition rate ratio Dbr and the peripheral situation level ratio Dsr are compared (S20).
These two values are of the same dimension (percentage), and the degree of coincidence (coincidence degree) between the biometric recognition degree Db and the surrounding situation degree Ds is obtained by directly comparing the biological recognition degree ratio Dbr and the surrounding situation degree ratio Dsr. It can be carried out.
At this time, when the driver's biometric recognition rate ratio Dbr and the surrounding situation degree ratio Dsr match (Dbr = Dsr), the difference becomes 0, and the driver is determined from the degree of abnormal situation felt by the driver and the information around the vehicle. The degree of the abnormal situation that should be felt is the same, and the driver appropriately recognizes the abnormal situation and is driving, which is a good driving.
When the biometric recognition rate ratio Dbr and the surrounding situation rate ratio Dsr do not match (Dbr ≠ Dsr), the driver should feel abnormal from the degree of abnormal situation felt by the driver and the information around the vehicle. The degree of situation does not match and is deviated. Then, the difference between the two ratios in the state where the biometric recognition ratio Dbr and the surrounding situation ratio Dsr do not coincide with each other represents the degree of recognition of the driver with respect to the driving situation.

Here, since the scoring is generally expressed with 100 points as the full score, the value G obtained by scoring the driving is expressed by subtracting the difference between the biometric recognition rate rate Dbr and the surrounding situation rate rate Dsr from 100 (S21). . Therefore, for example, if the values of the biometric recognition rate ratio Dbr and the peripheral situation level ratio Dsr match, the score G is 100, and the difference between the biometric recognition rate ratio Dbr and the peripheral situation level ratio Dsr is 40. The score G is scored as 60 points.
In this way, the driver's driving scoring is performed.
And when this score is low, the driver's recognition is different with respect to the driving situation, and the driver does not recognize the abnormal situation despite the high surrounding situation degree Ds. A case of driving and a case of driving in a high tension state that the driver recognizes as an abnormal situation although the surrounding situation degree Ds is not high are assumed.

In this way, driving scoring is performed based on the degree of coincidence between the biometric recognition rate ratio Dbr and the surrounding situation level ratio Dsr.
And the arithmetic processing means 6 assumes that the driver | operator recognizes differently with respect to a driving | running condition, when the scored score G is 50 points or less on the basis of a predetermined score, for example, 50 points. An instruction is issued from the arithmetic processing means 6 to the warning means 8. In response to the instruction, the warning means 8 emits a warning sound from the speaker or sends a warning message to the driver. Then, the driver recognizes that the driving has a different recognition. If the warning by the warning means is a system that allows the driver to recognize that the driver has recognized driving with different driving conditions, information is displayed on the display 9 or the vehicle instrument is blinked. Any means that can be recognized by the driver's visual, auditory, sensory, etc. may be used.
The arithmetic processing means 6 gives an instruction to the drive recorder 10 when the scored score G is 50 points or less, the video information photographed by the imaging means 2 at that time, the scored score G, time, Record vehicle speed. Then, when the vehicle is stopped, the driver can recognize the situation when the driver recognizes the driving situation differently by viewing the video at that time.

According to the above embodiment, the following effects are obtained.
(1) Since driving scoring is based on the biometric recognition degree Db obtained from the biometric information and the surrounding situation degree Ds, the driver can easily understand the evaluation criteria for the scored score.
(2) In the driving scoring flow, the biometric recognition degree Db and the surrounding situation degree Ds are set to the maximum value of the driving situation degree (biological recognition degree Db and the surrounding situation degree Ds) and the driving situation degree (biological recognition degree Db, the surrounding situation), respectively. The difference (degree Ds) from the normal value is applied to a value defined as 100 to calculate a ratio (biological recognition degree ratio Dbr, peripheral situation degree ratio Dsr), and the calculated values are compared and scored. Thereby, since the values calculated as values of the same dimension are compared, the comparison can be made easily, and thus the driving can be scored easily.
(3) Since the surrounding situation degree Ds is calculated from the distribution of the surrounding situation degree Ds in each obstacle with respect to the obstacle obtained from the obstacle information, the surrounding situation degree Ds closer to the driver's sense is obtained. Can do.
(4) The degree of surrounding situation Ds is calculated using the fact that the instantaneous heart rate HR has a correlation with the distance between the vehicle and the obstacle. Thereby, since the biometric recognition degree Db and the surrounding situation degree Ds become values based on the same instantaneous heartbeat HR, comparison is easier.
(5) The peripheral situation degree Ds is determined by comparing the general biological information of the driver and the biological information from the biological sensor 4 of the driver at a certain general peripheral situation degree Ds1. Then, an algorithm for calculating the peripheral situation degree Ds is determined based on the determined correction value. Thereby, the surrounding situation degree Ds can be matched with the individual difference of the biometric recognition degree Db by the driving skill of a driver | operator's biometric information and an individual sense, and scoring by the individual difference by a driver's driving skill and an individual sense The difference in the number of points can be eliminated.
(6) The arithmetic processing means 6 gives a warning to the driver by instructing the warning means 8 when the scored score G is equal to or less than a predetermined score as a result of the driving scoring. Thereby, the driver can know during driving that the driver's recognition is different from the driving situation.
(7) The arithmetic processing means 6 records the image | video and score at that time in a drive recorder, when scored score G is below a predetermined score as a result of driving scoring. This allows the driver to see why the driver's perception is different from the driver's perception of the driving situation later, such as when the vehicle is stopped. Can be connected.

(Second Embodiment)
Hereinafter, the second embodiment will be described with reference to FIG.
The driving scoring system 12 shown in FIG. 7 is obtained by further providing route setting means 13 to the driving scoring system 1 in the first embodiment. Here, the same symbols are used for the same configurations as those in the first embodiment. A detailed description will be omitted.
The route setting means 13 sets the travel route of the vehicle such as a lane change for the driver based on the information of the surrounding situation degree Ds. The route setting unit 13 sets a driving route according to an instruction from the arithmetic processing unit 6 and displays the set route on the display 9.

Next, the operation will be described.
The scoring of driving is omitted because it is the same as in the first embodiment, and the case where the score G for scoring driving is below a predetermined point (for example, 50 or below) will be described.
The arithmetic processing means 6 transmits an instruction to the route setting means 13 because the scored score G is 50 points or less. The route setting means 13 sets the travel route so as to increase the scored score G. For example, based on the information on the surrounding situation degree Ds, the route is set so that the surrounding situation degree Ds is close to the normal value of the surrounding situation degree Ds. That is, a route is set such that the value of the peripheral situation degree Ds is low. Specifically, when there is a pedestrian as an obstacle, the route setting means 13 sets the route so as to travel with a distance from the pedestrian.
The route set by the route setting means 13 is displayed on the display 9 and the driver drives the vehicle based on the information on the display 9.

According to the second embodiment, the following effects can be obtained.
(8) When the scored score G is low, the route setting means 13 sets the travel route so that the surrounding situation degree Ds approaches the normal value in order to increase the score G for driving. As a result, the driver takes an action such as increasing the distance from the obstacle, so the surrounding situation degree Ds can be brought close to the normal value.
(9) The route setting means 13 allows the vehicle to travel at a distance from the pedestrian, so that the pedestrian can travel safely without feeling an abnormal situation.
In this case, using the parameters of the driving situation set for each shape and color of the own vehicle affecting the surroundings, calculate the driving situation degree that the surrounding pedestrians feel to the vehicle in the same way. By doing so, when the degree of feeling that the host vehicle is in an abnormal situation given to surrounding pedestrians is large, route setting (route change) of the host vehicle and warning to the driver can be performed.

In 1st, 2nd embodiment, it is not limited above, You may change as follows.
In the first and second embodiments, the instantaneous heart rate HR is used to calculate the biometric recognition level Db and the surrounding situation level Ds, but a heart rate variability index may be used instead.
This heart rate variability index represents the RR interval shown in FIG. 1 as time-series data (trend graph) at equal time intervals, and this time-series data is converted into frequency components (heart rate variability spectrum) by the AR model method or the like. Can be determined by This heart rate variability index reflects parasympathetic nerve activity as HF / (LF + HF) according to the values of the low frequency component (LF, 0.04 Hz to 0.15 Hz) and the high frequency component (HF, 0.15 Hz to 0.5 Hz). The sympathetic nerve activity is reflected by LF / HF. Then, from the time series of the LF / HF values, the driver's mental load, that is, the degree of feeling that the driver is in an abnormal situation can be calculated. This heart rate variability index may be used for calculating the biometric recognition level and the surrounding situation level.
In the first and second embodiments, the heartbeat is used as the biometric information, but any biometric information that can calculate the driver's biorecognition degree may be used, for example, detected from a pulse wave, an electroencephalogram, a skin potential, or the like. The biometric recognition degree calculated from the value may be used.
In the first and second embodiments, the information from the biological sensor 4 is wirelessly transmitted to the biological information analyzing unit 5, but may be transmitted by wire.
In the first and second embodiments, the biological sensor 4 has been described as a wristwatch type. However, it is only necessary to detect biological information. For example, the biological sensor 4 may be a type installed on a handle or a type attached to a seat belt.
In the first and second embodiments, the information of the biological sensor 4 is wirelessly transmitted to the biological information analyzing unit 5. However, the biological sensor 4 has the function of the biological information analyzing unit 5, and the biological information is stored. After analysis, information may be transmitted to the arithmetic processing means 6 wirelessly.
In the first and second embodiments, an example in which a stereo camera and a near-infrared camera are used together as the imaging unit 2 is shown. However, it is sufficient that the shape of the obstacle and the distance between the obstacle and the vehicle can be detected. Information on radar, millimeter wave radar, and GPS may be used alone or in combination.
In the first and second embodiments, the case where the utility pole E is present in front of the vehicle has been described. However, when the vehicle is to be moved backward, an obstacle behind the vehicle is detected and the surrounding situation degree Ds is calculated to drive the vehicle. Scoring may be performed.

DESCRIPTION OF SYMBOLS 1 Driving scoring system 2 Imaging means 3 Image | video analysis means 4 Biosensor 5 Biometric information analysis means 6 Arithmetic processing means 8 Warning means 10 Drive recorder 13 Path setting means

Claims (6)

Biological information detection means for detecting the biological information of the driver;
Obstacle detection means for detecting obstacles around the vehicle;
Biometric recognition degree calculating means for calculating the biometric recognition degree of the driver from the information of the biological information detecting means;
A surrounding situation degree calculating means for calculating a surrounding situation degree around the vehicle from the information of the obstacle detecting means;
Biometric recognition rate ratio calculating means for calculating a biometric recognition rate ratio as a ratio based on the biometric recognition level based on the maximum value of the biometric recognition level and the normal value of the biometric recognition level during normal driving;
A surrounding situation degree ratio calculating means for calculating the surrounding situation degree ratio as a ratio based on the maximum value of the surrounding situation degree and the normal value of the surrounding situation degree during normal operation;
Comparing the calculated biometric recognition rate ratio and the surrounding situation level ratio, and scoring means for scoring the driver's driving from the degree of coincidence of both ratios;
A driving scoring system characterized by comprising: The surrounding situation degree calculating means includes:
Determine a correction value in the calculation of the degree of surrounding situation based on the detected biological information,
The driving scoring system according to claim 1, wherein the degree of surrounding situation is calculated based on the determined correction value. The driving scoring system is
3. The driving scoring system according to claim 1, further comprising warning means for warning the driver when the score scored by the scoring means is equal to or less than a predetermined score.   The biometric information detection unit detects a driver's heartbeat, and the biometric recognition degree calculation unit calculates using an instantaneous heartbeat obtained from the heartbeat. Driving scoring system described in the section. The driving scoring system is
With recording means,
The obstacle detection means includes imaging means for photographing video information around the vehicle,
The driving scoring system according to any one of claims 1 to 4, wherein the video information is recorded in the recording means when the score scored by the scoring means is equal to or less than a predetermined score. The driving scoring system is
Comprising route setting means for setting a driving route to the driver;
6. The route setting means, when the score scored by the scoring means is equal to or less than a predetermined score, instructs the travel route of the vehicle so that the scored score becomes high. The driving scoring system according to any one of the above.

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