JP3782024B2 - Driving training system using driving simulator - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a driving training system using a driving simulator, and more specifically to a driving learning system that evaluates a driving skill of a teacher and creates a training program suitable for the driving skill.
[0002]
[Prior art]
At driving schools and driver's license test centers, as part of safe driving education, driving simulators and risk prediction methods can be taught to teachers using driving simulators instead of actual vehicles, and driving trends can be evaluated. Has been done.
[0003]
FIG. 1 shows an example of such a driving simulator. The driving simulator 10 includes a riding unit 12, a screen 14 provided in front of the riding unit 12 on which a training simulation image is projected, and a six-axis servo cylinder 16 that supports the entire riding unit. 12 includes operating devices such as a steering wheel, a shift lever, an accelerator pedal, a brake pedal, and a direction indicator as in the case of an actual vehicle.
[0004]
When the instructor gets into the riding section 12 and starts driving lessons, the screen 14 displays a composite image simulating the surrounding scenery and traffic situation seen from the actual vehicle. When the instructor operates the operation device according to the traffic situation while looking at the screen 14 in front, the 6-axis servo cylinder 16 is activated in response to this, and exercises simulating acceleration, cornering, braking, etc. 12 is given. When the lesson is completed, the evaluation result of the driving operation of the learner is notified, so that the learner can know his driving skill and tendency.
[0005]
However, since a conventional driving simulator executes a virtual traffic situation learning program prepared in advance, a similar driving tendency does not always appear even in an actual traffic situation. In addition, since the number of learning programs is limited, the effectiveness of learning decreases as the number of learning programs increases.
[0006]
Japanese Patent Laid-Open No. 2000-47569 obtains data indicating various vehicle operations resulting from driving operations of a driver by an actual vehicle, such as an approach speed with respect to a curve, an inter-vehicle distance from a preceding vehicle, and a pedaling force of a brake pedal. And an apparatus for determining the driving tendency of the driver by comparing the reference data. In this invention, since various data are acquired from the usual driving | running | working in a real vehicle, the driving | running tendency near reality can be acquired.
[0007]
[Problems to be solved by the invention]
However, since the above invention drives an actual vehicle in the actual traffic situation, it determines the driving tendency of those who are in training and have not yet obtained a driving license, or a paper driver who is worried about driving. Is not suitable for safety. Also, since the type of driving operation (right / left turn, lane change, etc.) required depending on the situation changes depending on the actual traffic situation, even if the teacher wants to practice the driving operation that he is not good at, it is necessary There are times when it is difficult to encounter the scene.
[0008]
Therefore, the present invention evaluates the driving skill of the instructor from the driving operation information of the instructor in the driving simulator, determines the driving operation to be weak, and includes a lot of scenes that require the determined driving operation. It is an object of the present invention to provide a driving lesson system that can improve driving skills and determine an appropriate driving tendency by creating a lesson and learning.
[0009]
[Means for Solving the Problems]
The present invention relates to a driving training system for performing driving training using a driving simulator including a screen on which an image of a driving training program is projected and an operation device for a teacher to perform driving operation according to the image. In the predetermined standard learning program, driving operation information acquisition means for acquiring information on the operating device according to the driving operation performed by the teacher, and the weakness of the teacher by comparing the information with a predetermined reference value Driving operation determining means for determining the driving operation to be performed, learning program creating means for creating a dedicated learning program including many images of scenes that require the determined driving operation, and images of the created dedicated learning program are projected on a screen Image control means.
[0010]
According to the above configuration, after first learning with the standard learning program and determining the driving operation that the teacher is not good at, automatically create a dedicated learning program that includes many scenes where the driving operation is necessary, and then again Since the lesson is conducted, the effect of the lesson is increased. The driving operations here include brakes, turning left and right, changing lanes, complying with the speed limit, using the steering wheel, shift lever, accelerator pedal, brake pedal, direction indicator and other operating devices provided in the driving simulator, This includes maintaining the distance between vehicles and starting on slopes.
[0011]
Although the same standard learning program may always be used, it is more preferable to select one from a plurality of standard learning programs based on personal attribute information input by the learner.
[0012]
The driving operation determination means determines a driving operation that the teacher is not good at for each of the set driving operation items at a plurality of check points according to traffic conditions in the standard learning program. The check point here is a scene that requires some driving operation by the teacher, and includes, for example, an intersection, a pedestrian crossing, a temporary stop point, an overtaking point, a curve, and the like. A reference value corresponding to the optimum driving operation is set in each of the check point driving operation items. The driving operation determination means determines the driving operation that the teacher is not good at by comparing the reference value with the driving operation of the teacher and assigning points to each driving operation item.
[0013]
The training program creating means creates a dedicated training program by combining scenes corresponding to driving operations determined to be weak from a training program database storing a large number of composite images of scenes of various traffic situations. Alternatively, in the basic program having the frequency of the scene where each driving operation is required as a parameter, the dedicated program may be created by increasing the parameter corresponding to the driving operation determined to be weak.
[0014]
DETAILED DESCRIPTION OF THE INVENTION
A first embodiment of the present invention will be described below with reference to the drawings.
[0015]
FIG. 2 is a block diagram showing the overall configuration of the driving training system according to the present invention. The driving simulator 20 is, for example, a device as shown in FIG. 1, and includes a boarding section on which the trainee gets in, a screen on which a composite image according to the training program is projected, and a servo for giving the teacher a virtual driving feeling. The riding section is provided with operating devices such as a steering wheel, a shift lever, an accelerator pedal, a brake pedal, and a direction indicator as in an actual vehicle. The driving simulator 20 may not be provided with a servo mechanism, and the riding section may be not only a four-wheeled vehicle but also a model of a two-wheeled vehicle.
[0016]
On the screen, images from a training program that simulates various traffic conditions are projected. According to the traffic conditions to be projected (for example, turning left and right at intersections, changing lanes, overtaking, temporary stop at a railroad crossing, starting on a slope), or according to instructions displayed on the screen, the trainer can handle, brake pedal, direction indicator, etc. When the operation device is operated, the operation information such as the steering angle of the steering wheel and the depression of the brake pedal is acquired by the driving operation information acquisition unit 22 through the sensors attached to the operation devices. The operation information is sent to the servo control unit 34 to control the servo mechanism so that the driving operation by the teacher is reflected in the movement of the passenger compartment of the driving simulator 20, thereby giving the teacher a virtual driving feeling. The operation information is also sent to the image control unit 32 at the same time so that the driving operation by the teacher is reflected in real time on the projected image.
[0017]
The operation information is further sent to the driving operation determination unit 24. The driving operation determination unit 24 compares the operation information by the learner with a reference value set for the currently executed learning program. Then, by referring to a predetermined score table, points are given to the operation by the learner, thereby determining the driving operation that the learner is not good at.
[0018]
The training program creation unit 30 is a dedicated program that includes many scenes that require the determined driving operation by combining necessary scenes from the training program database 38 that stores a large number of composite images of scenes of various traffic situations. Create a training program. At this time, by referring to the personal information database 40 storing the personal information of the learner, it is possible to consider the personal attributes of the learner, the number of times of learning, and the like. The learning program creation unit 30 also sets a reference value corresponding to the dedicated learning program.
[0019]
The image control unit 32 projects the image of the special training program created by the training program creation unit 30 on the screen of the driving simulator 20. At this time, the learning program creation unit 30 sends the reference value to the driving operation determination unit 24 in synchronization with the image to be projected, whereby the driving operation determination unit 24 can evaluate the driving operation of the teacher. And based on this evaluation result, the driving operation determination part 24 prints a driving | operation evaluation sheet | seat of a teacher from the printer which is not shown in figure.
[0020]
The evaluation result is further stored in the personal information database 40 for each teacher. The personal information database can also be connected to the network 42. In this case, the evaluation result and personal information can be used also in driving simulators in other places.
[0021]
The driving training system may include a warning device 36. The warning device 36 notifies the teacher of the evaluation result and warning created by the driving operation determination unit 24 in real time by voice. Instead of or together with the warning device 36, evaluation results and warnings may be sent to the image control unit 32 and displayed on the screen of the driving simulator 20.
[0022]
Each functional block described above is realized by a computer. The computer may be incorporated therein as part of the driving simulator, or it may be a general purpose computer connected to the driving simulator.
[0023]
Next, the process of driving lessons using the driving simulator 20 will be described using the flowchart of FIG.
[0024]
In step 50, the teacher inputs personal attribute information such as his / her name, age, gender, date of birth, driving calendar, blood type, and type of car that he / she is driving normally. In step 52, an ID number and a password are assigned to each teacher. When the same learner receives a lesson using the driving simulator 20 for the second time or later, inputting the attribute information can be omitted by inputting the ID number and the password.
[0025]
In step 54, a driving lesson by a standard lesson program for determining the driving skill of the instructor is executed. The same standard learning program may be used for all members, but the teacher is divided into several ranks based on the personal attribute information input in step 50, and the standard learning program corresponding to the rank is selected. It is possible to use more appropriate lessons. Moreover, when the training using the said driving simulator was received in the past and the data of the evaluation result at that time remain, the said ranking may be performed based on the evaluation result.
[0026]
In step 56, first, driving operation information performed by the teacher in the standard learning program is acquired. And this driving operation information and the reference value set about the standard learning program are compared, and the driving operation item which the said teacher is weak is determined. Then, in step 58, a dedicated learning program including a lot of weak items is created. The operations in steps 56 and 58 will be described later in detail.
[0027]
Subsequently, in step 60, learning is performed again using the created dedicated learning program. Also at this time, driving operation information by the teacher is acquired. In this case, if the driving operation deviates significantly from the reference value set for the special training program, a warning message from the warning device 36 (for example, “Brake was too early”, “Speed is too high”, etc.) Or may be displayed on the screen of the driving simulator 20.
[0028]
In step 62, the driving operation determination unit 24 compares the driving operation information with the reference value again, and evaluates the driving skill and driving tendency of the teacher. The evaluation result is output as an operation evaluation sheet by a printer or the like. An example of this is shown in FIG. The driving evaluation sheet shows the items of driving operations that are judged to be weak on each training day, so the teacher can accurately grasp his driving skills and trends and use them to improve driving skills. it can.
[0029]
It is also possible to further create a dedicated learning program reflecting the evaluation result and continue the learning by the driving simulator 20.
[0030]
Finally, in step 64, the evaluation result is stored in the personal information database 40 for each teacher along with the personal attribute information. From the time of the next lesson, it is not necessary to learn by the standard lesson program by referring to this evaluation result. In addition, when the personal information database 40 is connected to the network 42, the ID number and the password are entered by accessing the personal information database 42 via the network even when training is performed in a driving simulator in another place. By simply doing, it is possible to refer to personal attribute information and evaluation results.
[0031]
Next, the process of determining weak items (step 56 in FIG. 3) will be described in detail with reference to the flowchart in FIG.
[0032]
In step 70, driving operation information performed by the learner is acquired at a plurality of check points set in the standard learning program. A check point is a scene that requires some driving operation by a teacher, such as an intersection, a pedestrian crossing, a temporary stop, an overtaking, or a curve. Each checkpoint is set with a driving operation item for determining the driving skill of the teacher. The driving operation items include the steering angle of the steering wheel, the start time of acceleration and braking, the time to turn on the direction indicator, the time to start lane change and overtaking, the speed, and the like.
[0033]
In step 72, the reference value of the driving operation item that is set to the most appropriate value according to the traffic situation is compared with the driving operation information of the teacher for each check point, and the difference in the numerical value of this data is calculated. Desired.
[0034]
In step 74, the calculated numerical difference is scored with reference to a predetermined score table.
[0035]
The operation from step 70 to step 74 will be specifically described with reference to FIG. In the standard learning program, it is assumed that check points A to F are set as shown in the table of FIG. Each checkpoint is set with a driving operation item to be determined. That is, point A is the distance that the brake pedal should be depressed with respect to the stop position, point B is the distance that the direction indicator should be operated with respect to the position to turn left and right, and point C is the lane change. The distance to start. At point D, the speed limit is observed, at point E, the distance from the vehicle ahead is maintained, and at point F, the vehicle moves backward when starting a hill. These are merely examples, and various other driving operation items can be set. In FIG. 5, only one driving operation item to be determined for each check point is set, but two or more driving operation items may be set for one check point. For example, when the check point is a left turn at an intersection, both the timing of the brake and the operation of the direction indicator are set as driving operation items. Moreover, there is no restriction | limiting about the number of check points, You may determine a certain driving operation item by two or more check points.
[0036]
The “reference value” in FIG. 5A may be fixed or may be changed according to the traveling speed of the vehicle in the learning program. The “driving operation value” is a value obtained from the driving operation information of the teacher, and a value obtained by subtracting the reference value from the driving operation value is indicated as “difference from the reference value”. For example, at point A, the trainer should start stepping on the brake pedal 30m before the stop position, but the teacher starts stepping on the brake pedal 15m before, so the difference is minus 15m. At point D, the speed limit was 50 km, whereas the trainer was traveling at a speed of 70 km / h, so the difference was plus 20 km. The same applies to other checkpoints.
[0037]
Then, this difference is compared with the score table of FIG. 6, and a score is given for each item of each check point. For example, since the A point is minus 15 m, the score is 3. Although the same score table may be used for each driving operation item to be determined, it is preferable that the score table is prepared for each check point because the traffic situation varies depending on the check point. Or you may change according to the driving speed etc. of the vehicle in a learning program.
[0038]
The score of each check point is added up and the average score is calculated (FIG. 5 (b)). Furthermore, ranking is performed according to the average score (FIG. 5C).
[0039]
In step 76, the driving operation determination unit 24 determines that the item with a high score is the driving operation item that the teacher is not good at. In the example of FIG. 5 (a), three brake points and four speeds are determined to be weak items. There is no limit to the number of weak items to be determined. For example, an item higher than the average score may be determined as a weak item.
[0040]
Next, the process of creating a dedicated learning program (step 58 in FIG. 3) will be described. The training program creation unit 30 creates a dedicated training program by selecting the one corresponding to the weak item from the images of various traffic situations stored in the training program database 38. Specifically, for example, when the weak item is determined to be a brake, the brake program shown in FIG. Among these, there are roughly divided areas such as urban areas, suburbs, and highways, and there are many images of detailed scenes such as residential areas, railroad crossings, and intersections. The images of these scenes are created in advance so that more traffic situations that require braking are included than in the standard training program, so creating a dedicated training program for braking by selecting and combining them appropriately be able to.
[0041]
Also, even in the same city area program, a plurality of areas such as city area A and city area B may be prepared, and a dedicated learning program may be created according to the ranking according to the previous average score (FIG. 5 (c)). For example, since the trainer of rank A is assumed to have a higher overall driving skill than the trainer of rank B, the urban area A is in a traffic situation that requires a higher level of skill.
[0042]
When two or more weak items are determined, for example, when the brake and the speed limit are poor items, as shown in FIG. 7 (b), the combination stored in the training program database 38 for each item is the same. Refer to the program.
[0043]
Instead of preparing a training program corresponding to all combinations of weak items as described above, you can set appropriate parameters for the basic learning program and change the parameters according to the determined weak items It is good also as such a structure. Specifically, for example, if braking is an item that you are not good at, increase the number of times you encounter a red light in the basic program, or if you are not good at turning left or right, increase the number of times you turn at an intersection, If the change is a weak item, the number of vehicles traveling around the host vehicle may be increased.
[0044]
As described above, the learning system according to the present invention automatically creates a dedicated learning program that includes many scenes that require driving operation items that are determined to be weak. Can be implemented effectively. In addition, since the dedicated training program changes every time depending on the result of determination of weak items, even if the driving simulator is used multiple times, it does not get tired or get used to it.
[0045]
Subsequently, a second embodiment of the present invention will be described with reference to FIGS. The overall configuration of this embodiment and the flowchart of the driving training process are the same as those of the first embodiment shown in FIGS. 2 and 3, respectively, and only the process of determining weak items in step 56 is different. Therefore, the overlapping description is omitted.
[0046]
The calculation of the difference between the acquisition of the driving operation information and the reference value in Step 80 and Step 82 of FIG. 9 is the same as Step 70 and Step 72 of the first embodiment. However, in the present embodiment, it is preferable to set a large number of checkpoints for each driving operation item and accumulate data of a plurality of lessons as shown in FIG. Then, in step 84, a frequency distribution table as shown in FIG. 10B is created for each driving operation item for the difference data from the accumulated reference value.
[0047]
In step 86, based on the created frequency distribution table, whether the frequency distribution is biased toward the positive side or the negative side with respect to the reference value, that is, the tendency of the learner's brake timing is earlier or later than the reference value. Determine whether. For example, when a result as shown in FIG. 10B is obtained, the frequency in the range on the negative side is larger than the reference value, so the learner determines that the brake timing tends to be late. The training program creation unit 30 creates a dedicated training program corresponding to this determination. The method for creating the dedicated learning program is the same as in the first embodiment. In this embodiment, the weak items are determined based on the results of a large number of checkpoints and a plurality of lessons, so that the driving skill can be grasped more accurately.
[0048]
【The invention's effect】
According to the present invention, after first learning with the standard learning program to determine the poor driving operation of the teacher, a dedicated learning program including many scenes where the driving operation is necessary is automatically created. Since the lesson is performed again, the effect of the lesson increases.
[Brief description of the drawings]
FIG. 1 is a diagram illustrating an example of a driving simulator.
FIG. 2 is a block diagram showing an overall configuration of a learning system using a driving simulator.
FIG. 3 is a flowchart showing a driving training process;
FIG. 4 is a flowchart of a process of determining weak items according to the first embodiment of the present invention.
FIG. 5 is a table for explaining checkpoints.
FIG. 6 is a diagram showing an example of a score table.
FIG. 7 is a diagram showing an example of a learning program database.
FIG. 8 is a diagram illustrating an example of an operation evaluation sheet.
FIG. 9 is a flowchart illustrating a process of determining weak items according to the second embodiment of the present invention.
FIG. 10 is a diagram illustrating an example of a frequency distribution.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 10 Driving simulator 12 Boarding part 14 Screen 16 Servo cylinder 20 Driving simulator 22 Driving operation information acquisition part 24 Driving operation determination part 30 Learning program creation part 32 Image control part 34 Servo control part 36 Warning device 38 Learning program database 40 Personal information database 42 network

Claims (6)

A driving training system for performing driving training using a driving simulator including a screen on which an image of a driving training program is projected and an operation device for a teacher to perform driving operation according to the image. ,
For each driving operation item included in the standard learning program, storage means for storing images of traffic situation scenes prepared in advance;
Driving operation information acquisition means for acquiring information on the operating device according to the driving operation performed by the teacher in the standard learning program via the driving simulator;
For each driving operation item included in the standard learning program, calculate the difference between the operation value obtained from the information of the operating device according to the driving operation and a reference value determined in advance for the driving operation item, Based on the magnitude of the difference, driving operation determination means for determining a driving operation item that the learner is not good at;
A learning program creating means for creating a dedicated learning program so that the dedicated learning program includes more images of traffic situation scenes for the driving operation items determined to be weak than the standard learning program. Selecting a traffic situation scene image for a driving operation item determined to be weak from the traffic situation scene image stored in the storage means, and creating a dedicated training program including the selected image ; Teaching program creation means,
Image control means for projecting the image of the dedicated training program on the screen;
Driving training system with The driving training system according to claim 1, wherein one of the standard learning programs is selected from a plurality of standard learning programs based on personal attribute information of the learner. In the standard learning program, the driving operation items are respectively set at a plurality of check points according to traffic conditions in the standard learning program.
The driving lesson system according to claim 1. The storage means stores composite images of scenes of various traffic situations for each of the driving operation items included in the standard learning program.
The driving lesson system according to claim 3. The learning program creating means creates the dedicated learning program by increasing a parameter corresponding to the driving operation item determined to be weak in the basic program having the frequency of a scene including each driving operation item as a parameter. ,
The driving lesson system according to claim 3. A method for performing driving lessons using a driving simulator comprising a screen on which an image of a program for driving lessons is projected and an operation device for a learner to drive according to the images. ,
Driving operation information acquisition means acquires the information of the operating device according to the driving operation performed by the teacher in the standard learning program via the driving simulator,
Driving operation determination means, for each of the driving operation items included in the standard learning program, the operation value obtained from the information of the operating device according to the driving operation, a reference value determined in advance for the driving operation item, Determining a driving operation item that the learner is not good at based on the magnitude of the difference;
The learning program creating means is a step of creating a dedicated learning program, wherein the dedicated learning program includes more images of traffic situation scenes for the driving operation items determined to be weak than the standard learning program. Then, from the traffic situation scene image stored in the storage means, the traffic situation scene image for the driving operation item determined to be weak is selected, and a dedicated training program including the selected image is created. Steps,
An image control means for projecting an image of the dedicated training program on the screen;
Including a method.

Images