Method for setting turning characteristics of an automated vehicle driving system and automated vehicle driving system

Abstract

According to the present invention, a navigation pattern for acquiring parameters of turning characteristics is automatically generated in a turning characteristic setting method of an automatic vehicle driving system (step S4). Data pertaining to the turning characteristics of a vehicle is acquired while causing the vehicle to automatically navigate in the generated navigation pattern (step S5). The parameters are set on the basis of the acquired data (step S6).

Description

[Technical Field]

[0001] The present disclosure relates to a method for setting turning characteristics for an automated vehicle driving system and the automated vehicle driving system. [Background technology]

[0002] An automatic vehicle driving system such as that disclosed in Non-Patent Document 1 below is known. The system disclosed in Non-Patent Document 1 includes a robot that operates the steering wheel, a robot that operates the accelerator pedal and brake pedal, a robot that operates the gear selector, and a controller that controls these robots. These robots are attached to a vehicle for use, and can also be removed from the vehicle. Another automatic vehicle driving system is also known as that disclosed in Patent Document 1 below. Patent Document 1 mainly discloses automatic steering control related to turning of the vehicle. [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] Handling Toyo Corporation (Japan), manufactured by HI-TEC srl, "GPS-controlled real-vehicle driving test robot NaviControl", [online], [Retrieved February 19, 2022], Internet <URL: https: / / www.toyo.co.jp / mecha / products / detail / navicontrol.html> [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2017-177847 Summary of the Invention [Problem to be solved by the invention]

[0005] In the automatic steering control of an autonomous driving system, steered road wheels are steered by an actuator to turn the vehicle. In the system disclosed in Non-Patent Document 1, when a robot's actuator rotates the steering wheel, the steered road wheels are steered via a steering mechanism including a steering column shaft, a steering gearbox, etc. Putting such a system into practical use requires calibration work. More specifically, it is necessary to set automatic steering control parameters related to the vehicle's turning characteristics.

[0006] An object of the present disclosure is to provide a method for setting turning characteristics of an automatic vehicle driving system and an automatic vehicle driving system that can efficiently set automatic steering control parameters related to the vehicle's turning characteristics during the adaptation work of the automatic steering control. [Means for solving the problem]

[0007] In the method for setting turning characteristics for a vehicle automatic driving system according to the present disclosure, a driving pattern for acquiring parameters of turning characteristics is automatically generated, data regarding the turning characteristics of the vehicle is acquired while the vehicle is automatically driven according to the generated driving pattern, and the parameters are set based on the acquired data.

[0008] Here, the vehicle automatic driving system may be constructed by installing an automatic driving robot in the vehicle.

[0009] Furthermore, before the driving pattern is automatically generated, the vehicle may be driven by a driver along the periphery of a driving area in which the driving pattern will be automatically driven to obtain the driving area, and the driving pattern may then be automatically generated within the driving area.

[0010] Here, the parameter may be a turning curvature or a turning radius of the vehicle relative to a steering angle of a steering wheel of the vehicle.

[0011] The parameter may be a yaw rate of the vehicle relative to a steering angle of a steering wheel of the vehicle.

[0012] The parameter may be a time constant of a response delay of the yaw rate of the vehicle.

[0013] The parameter may be a stability factor relating to turning of the vehicle.

[0014] In addition, the vehicle automatic driving system according to the present disclosure includes a steering robot that rotates the steering wheel of the vehicle, a self-position detection device that detects the vehicle's own position, and a controller that controls the vehicle automatic driving system, and is configured to automatically generate a driving pattern for acquiring parameters of turning characteristics, control the steering robot to automatically drive the vehicle according to the generated driving pattern while acquiring data regarding the vehicle's turning characteristics using the self-position detection device, and set the parameters based on the acquired data.

[0015] Here, the steering robot may be post-installed on the vehicle. [Effects of the Invention]

[0016] According to the method for setting turning characteristics of an automatic vehicle driving system or the automatic vehicle driving system of the present disclosure, automatic steering control parameters related to the turning characteristics of a vehicle can be efficiently set in the automatic steering control adaptation work. [Brief explanation of the drawings]

[0017] [Figure 1] FIG. 1 is a perspective view showing the configuration of an automatic vehicle driving system according to an embodiment. [Figure 2] FIG. 2 is a plan view (travel area setting) showing the steps of the method for setting the turning characteristics of the system. [Figure 3]FIG. 3 is a plan view showing the above process (movement to the start position). [Figure 4] FIG. 4 is a plan view showing the above process (automatic driving process: large turning curvature). [Figure 5] FIG. 5 is a plan view showing the above process (automatic driving process: small turning curvature). [Figure 6] FIG. 6 is a graph showing the set automatic steering control parameters (turning curvature versus steering angle). [Figure 7] FIG. 7 is a flowchart of the setting method. [Figure 8] FIG. 8 is a graph showing parameters (yaw rate relative to steering angle) of another example of automatic steering control. DETAILED DESCRIPTION OF THE INVENTION

[0018] Hereinafter, an embodiment of a vehicle automatic driving system and a method for setting turning characteristics using the system will be described with reference to the drawings.

[0019] The vehicle automatic driving system of this embodiment is a system in which an existing vehicle 1 is equipped with a retrofit automatic driving robot such as that described in the above-mentioned [Non-Patent Document 1]. That is, since the retrofit automatic driving robot is installed in the vehicle 1, an adjustment work for the automatic steering control is required after the automatic driving robot is installed. This adjustment work sets parameters for the automatic steering control related to the turning characteristics of the vehicle 1. The turning characteristics are characteristics related to the turning of the vehicle 1, and specifically refer to various state quantities related to the turning of the vehicle 1, such as the turning curvature, turning radius, yaw rate, time constant, or stability factor, or various eigenvalues that affect the turning performance of the vehicle 1.

[0020] The vehicle 1 of this embodiment has the configuration shown in FIG. to can be retrofitted to a vehicle. And far awayThe vehicle is equipped with an autonomous driving robot that enables remote driving or autonomous driving. The autonomous driving robot includes a steering robot 2 that rotates the steering wheel, a pedal robot 3 that operates the accelerator pedal and brake pedal, a self-position detection device 4 that detects the self-position of the vehicle 1, and a controller 5 that controls these. The steering robot 2, pedal robot 3, and self-position detection device 4 are connected to the controller 5.

[0021] A GUI (Graphical User Interface) unit 6 is also connected to the controller 5, which displays various information related to the system and also serves as an input device for inputting various instructions to the controller 5. An obstacle detection sensor 7 is also connected to the controller 5. The system of this embodiment also includes a gear robot (not shown) that operates the gear selector, and the gear robot is also connected to the controller 5. These robots are cooperatively controlled by the controller 5.

[0022] The vehicle 1 can be remotely driven or automatically driven by the above-mentioned automatic driving robot without an occupant on board. However, the vehicle 1 can also have an occupant, i.e., a driver, in the driver's seat with the automatic driving robot installed, and the driver can also drive the vehicle without activating the automatic driving robot. Furthermore, the driver can drive the vehicle even with the automatic driving robot activated, and various data can be recorded at that time.

[0023] The steering robot 2 can take various forms, but in this embodiment, for example, it has a ring member attached to the rim of the steering wheel and rotates together with the steering wheel. As described above, when the driver drives the vehicle 1, the driver operates the ring member like the rim of the steering wheel. The ring member is fixed to the vehicle body via a bracket or the like, and is rotated by an actuator of the steering robot 2. As described above, the steering robot 2 can take various forms, and may be attached to the steering wheel or may be configured to directly operate the rim of the steering wheel.

[0024] The pedal robot 3 can also take various forms, but in this embodiment it is equipped with an actuator for pushing the pedal and is fixed between the seat cushion of the driver's seat and the pedal. The actuators of the steering robot 2 and the pedal robot 3 are controlled by a controller 5.

[0025] The self-location detection device 4 is generally a device that uses a satellite positioning system such as a global positioning system (GPS) in combination with an inertial measurement unit (IMU). The controller 5 is an electronic device including a CPU, ROM, RAM, storage such as an SSD or HDD, an I / O device, etc. The GUI unit 6 in this embodiment is a tablet terminal equipped with a touch screen. The obstacle detection sensor 7 in this embodiment is an ultrasonic sensor mounted at the front end of the vehicle 1, but may be any other type of sensor, and its mounting position is not limited to the front end of the vehicle 1.

[0026] Next, the parameter setting of the automatic steering control during the adaptation work of the above-mentioned system will be described with reference to the plan views of FIGS. 2 to 5 and the flowchart of FIG.

[0027] First, in this embodiment, the above-described retrofit type autonomous driving robot is mounted on the vehicle 1. That is, the above-described steering robot 2, pedal robot 3, gear robot, controller 5, GUI unit 6, etc. are attached to the vehicle 1. Next, various specifications unique to the vehicle 1, such as the wheelbase, are input to the system from the GUI unit 6. Here, a default turning radius estimated from the vehicle specifications is also input (step S1 in FIG. 7). The input information is stored in the storage of the controller 5.

[0028] The specifications of the vehicle 1 may be input as numerical values, or if the system has a vehicle database, the vehicle model may be input. In this case, the controller 5 retrieves vehicle specifications suitable for the input vehicle model from the database based on the input vehicle model. Furthermore, if the maximum steering angle of the steering wheel, the minimum turning radius, etc. are known, these numerical values are also input.

[0029] In this embodiment, the default turning radius is calculated using the following equation (1) of the kinematics model of a two-wheeled vehicle. It is well known that vehicle dynamics are examined by simulating a kinematics model of a two-wheeled vehicle instead of a kinematics model of a four-wheeled vehicle, and in this embodiment, the default turning radius is calculated using the kinematics model of a two-wheeled vehicle. δs=Ktan -1 (L / R)=Ktan -1 (κL) Equation (1)

[0030] where δs is the steering angle, K is the steering gear ratio, L is the wheelbase value, R is the turning radius, and κ is the turning angle. Rate Turning radius R and turning angle rate κ It should be noted that if the turning angle of the steered wheels, i.e., the front wheels, can be obtained and the steering gear ratio K is obvious, the default turning radius may be determined using the turning angle δ of the steered wheels (Kδ=δs) instead of the steering angle δs of the steering wheel. In this way, the initial settings for the calibration work are performed.

[0031] Thereafter, by making the vehicle 1 travel automatically, data relating to the turning characteristics of the vehicle 1 is automatically acquired, and parameters for automatic steering control are set based on the acquired data. However, in order to make the vehicle travel automatically, it is necessary to make the system memorize the travel area X for automatic travel. Therefore, the driver actually drives the vehicle 1 along the perimeter Y of the travel area X, as shown in FIG. 2 (step S2 in FIG. 7). At this time, the travel trajectory of the vehicle 1 is detected by the self-position detection device 4 and becomes a closed trajectory. The inside of the closed trajectory is determined as the travel area X in which the vehicle 1 will travel automatically for the adaptation work by automatic travel.

[0032] At this time, the vehicle 1 travels at a slow speed (about 5 km / h), for example. In FIG. 2, the travel area X is a simple rectangle, but even if the travel area X has a more complex shape, the travel area X can be set accurately and easily by having the vehicle 1 travel along its periphery. Furthermore, the same self-position detection device 4 detects the vehicle 1's own position for setting the travel area X and also detects the vehicle 1's own position during automatic travel immediately thereafter. Therefore, automatic travel can be reliably performed immediately after setting the travel area X. Furthermore, when the driver actually travels along this periphery Y, data regarding the acceleration / deceleration characteristics of the vehicle 1 in response to pedal operation is also simultaneously acquired and stored in the controller 5.

[0033] After setting the travel area X, the vehicle 1 is guided to the start position S as shown in FIG. 3. Specifically, a map of the travel area X is displayed on the GUI unit 6 like a navigation system, the vehicle 1 and the start position S are shown on the map, and the driver drives the vehicle 1 to the start position S by referring to the GUI unit 6 (step S3 in FIG. 7). The position where a circular locus with the largest radius can be placed within the travel area X is determined as the start position S by calculation of the controller 5. However, the start position S can also be arbitrarily set by the driver (user) using the GUI unit 6.

[0034] Next, a plurality of driving patterns are automatically generated to acquire data on the turning characteristics of the vehicle 1 within the driving area X (step S4 in FIG. 7). For example, in this embodiment, the turning curvature relative to the steering angle of the steering wheel is acquired as the turning characteristics, and driving patterns are generated for every 10 degrees of steering angle, as shown in Table 1 below. Note that for the steering angle in Table 1, positive values indicate a right turn, and negative values indicate a left turn. Table 1 also shows the default turning radius mentioned above.

[0035] [Table 1]

[0036] The driving route is automatically generated so that the driving route fits within a predetermined driving area X. For example, as shown in driving route R1 in FIG. 4, if the steering angle is large and the turning radius is small, it is possible to make a full circle within the driving area X and return to the start position S. However, as shown in driving route R2 in FIG. 5, if the steering angle is small and the turning radius is large, it is not possible to make a full circle within the driving area X. In such a case, using a route generation method using straight lines and arcs, such as Dubins path, driving routes Z1 to Z3 for returning to the start position S after the driving route R2, which turns at a predetermined steering angle for data acquisition, are generated. Here, the return route to the start position S is composed of the semicircular driving route Z1, the straight driving route Z2, and the semicircular driving route Z3. When transitioning from a right-turning driving route to a left-turning driving route, a return route is generated so that the driving direction from the start position S is reversed. In this way, all driving routes are automatically generated.

[0037] Once all the driving routes have been determined, the vehicle is driven automatically based on the driving routes, and data on turning characteristics is acquired (steps S5 and S6 in FIG. 7). The automatic driving starts from a driving route with a large steering angle, i.e., a small turning radius. As a result, the unmeasured data in the above-mentioned [Table 1] is measured sequentially and the table is filled in.

[0038] After all data acquisition has been completed, the parameters for automatic turning control as shown in FIG. 6 are calculated based on the acquired data (step S7 in FIG. 7). In this embodiment, the calculated parameters are a characteristic curve on the graph showing the relationship between steering angle and turning curvature as shown in FIG. 6. As described above, the acquired data is data for every 10 degrees of steering angle. Therefore, when generating the map of FIG. 6, the characteristic curve is generated using the least squares method or the like. The coefficients and eigenvalues in the above equation (1) may be modified based on the generated parameters, and default values for which no data was acquired may be reset. Furthermore, although data for both right and left turns is acquired in this embodiment, data for one may be generated from data for the other.

[0039] Furthermore, in steps S5 and S6, the deviation between the acquired data and the default value may be monitored, and if the deviation is large, data acquisition may be interrupted. Also, in steps S5 and S6, the self-position of the vehicle 1 is constantly grasped by the controller 5 via the self-position detection device 4 for the above-mentioned data acquisition. Therefore, if the vehicle 1 deviates from the driving area X or if an obstacle is detected by the obstacle detection sensor 7, the controller 5 may output an error. If an error is output in this way, the user is prompted to move the vehicle 1 to the start position S. As described above, the adaptation work for the automatic turning control is completed, and automatic driving is performed appropriately thereafter.

[0040] In the above embodiment, the characteristic curve of the turning curvature with respect to the steering angle shown in FIG. 6 is set as a parameter for the automatic turning control. However, other parameters may be set. For example, as shown in FIG. 8, the characteristic curve of the yaw rate with respect to the steering angle may be set as a parameter for the automatic turning control. In this case, the yaw rate is also acquired as data during the automatic traveling in steps S5 and S6 described above. In this embodiment, the yaw rate can be detected by the self-location detection device 4 having a GPS and an IMU.

[0041] Alternatively, the time constant of the yaw rate response delay may be set as a parameter for automatic turning control. In particular, in a system using an aftermarket automatic driving robot like the present embodiment, response delays are likely to occur. Therefore, by setting the time constant of the response delay as a parameter and using that parameter for subsequent automatic turning control, automatic driving can be performed appropriately. In this case, too, the yaw rate is acquired as data during the automatic driving in steps S5 and S6, and the time constant is calculated based on that data.

[0042] Alternatively, the stability factor of the vehicle 1 may be set as a parameter for automatic turning control. The stability factor A can be calculated using the following equation (2). R=(1+AV 2 )KL / δs Equation (2) Here, A is the stability factor, V is the driving speed, δs is the steering angle, K is the steering gear ratio, L is the wheelbase value, and R is the turning radius.

[0043] The stability factor A is an index that indicates the steering characteristics of the vehicle 1, and its value can be used to determine whether the vehicle 1 is prone to oversteer or understeer. In this case, in the automatic driving of steps S5 and S6 described above, the accelerator pedal is also controlled to change the driving speed and obtain the turning radius. Note that the number of parameters for the automatic turning control that are set is not limited to one, and two or more parameters may be set simultaneously.

[0044] According to the method for setting turning characteristics for an automatic vehicle driving system of this embodiment, (a) a driving pattern for acquiring parameters for turning characteristics is automatically generated. Then, (b) data related to the turning characteristics of vehicle 1 is acquired while vehicle 1 is automatically driven according to the generated driving pattern. (c) Parameters related to the turning characteristics are set based on the acquired data. Therefore, automatic steering control parameters related to the turning characteristics of vehicle 1 can be efficiently set in the adaptation work of the automatic steering control.

[0045] For example, if a company owns many vehicles and wants to make them self-driving, the system can efficiently perform the calibration work for each vehicle. In this case, even if the vehicles are not standardized and are different models, the calibration work can be efficiently performed for each vehicle.

[0046] In particular, when the automatic driving system is constructed by mounting an automatic driving robot such as a steering robot 2 on a vehicle 1 as in the above embodiment, calibration work is required for each vehicle 1. Therefore, by using the above-described procedures (a) to (c), the parameters of the turning characteristics can be set very efficiently for each vehicle 1.

[0047] Furthermore, according to the method for setting turning characteristics for an automatic vehicle driving system of the above embodiment, before the automatic generation of a driving pattern, the driver drives the vehicle 1 along the periphery Y of the driving area X where the automatic driving of the driving pattern will be performed, to obtain the driving area X. After that, the driving pattern is automatically generated within the driving area X. There is no problem if an extremely large flat area can be prepared as the driving area X to be used in the adaptation work, but in many cases, it is difficult to prepare such a driving area X. Furthermore, although the shape of the driving area X varies, since the driving area X can be determined simply and reliably, the automatic generation of the subsequent driving route can also be performed reliably.

[0048] If the parameter is the turning curvature or turning radius of vehicle 1 relative to the steering angle of the steering wheel of vehicle 1, the output of the automatic steering control, i.e., the turning curvature or turning radius, can be reliably controlled relative to the input of the automatic steering control, i.e., the steering angle.

[0049] If the parameter is the yaw rate of the vehicle 1 relative to the steering angle of the steering wheel of the vehicle 1, the output of the automatic steering control, that is, the yaw rate, can be reliably controlled relative to the input of the automatic steering control, that is, the steering angle.

[0050] If the parameter is a time constant for the response delay of the yaw rate of the vehicle 1, reliable automatic steering control can be performed taking the response delay into consideration. As described above, response delays are likely to occur in systems that use retrofitted automatic driving robots, so by setting the time constant for the response delay as a parameter and using this parameter for subsequent automatic turning control, automatic driving can be performed appropriately.

[0051] If the parameter is a stability factor relating to the turning of the vehicle, reliable automatic steering control can be performed taking into account the steering characteristics of the vehicle 1.

[0052] The automatic vehicle driving system of the above embodiment includes a steering robot 2 that rotates the steering wheel of the vehicle 1, a self-position detection device 4 that detects the self-position of the vehicle 1, and a controller 5 that controls the system. The controller 5 automatically generates a driving pattern for acquiring parameters of turning characteristics. The controller 5 controls the steering robot 2 to automatically drive the vehicle 1 according to the generated driving pattern, while acquiring data related to the turning characteristics of the vehicle 1 using the self-position detection device 4. The controller 5 sets parameters based on the acquired data. Therefore, according to the automatic vehicle driving system of the above embodiment, automatic steering control parameters related to the turning characteristics of the vehicle 1 can be efficiently set in the automatic steering control adaptation work.

[0053] In particular, when a steering robot is retrofitted to a vehicle as in the above embodiment, adaptation work is required for each vehicle 1. Therefore, according to the automatic vehicle driving system of the above embodiment, parameters of the turning characteristics can be set very efficiently for each vehicle 1.

[0054] In the above embodiment, the vehicle automatic driving system is realized by installing an automatic driving robot as an add-on to the vehicle. However, the vehicle automatic driving system of the present disclosure also includes a system in which the automatic driving system is integrated into the vehicle itself. Even in such a system integrated into the vehicle, calibration work, i.e., setting of automatic driving control parameters related to turning characteristics, is required. In this case, since the automatic driving robot is not installed, when setting the parameters for the automatic steering control, the steering wheel operation angle and the accelerator pedal and brake pedal operation stroke, etc. are detected by the respective detection sensors installed in the vehicle.

[0055] In the above embodiment, the yaw rate is acquired by the self-location detection device 4 having a GPS and an IMU, but the yaw rate may be detected by a yaw rate sensor mounted on the vehicle 1. Furthermore, in the above embodiment, the self-location detection device 4 is a device having a GPS and an IMU, but it may also be a device that uses SLAM (Simultaneous Localization And Mapping). In the case of a self-location detection device 4 that uses SLAM, the self-location detection device 4 has a three-dimensional scanner or a camera that scans the surrounding environment.

[0056] Furthermore, according to the present disclosure, the safety of automated driving can be improved by appropriately calibrating the vehicle's automatic turning control. Therefore, for example, this can contribute to Goal 9 of the United Nations-led Sustainable Development Goals (SDGs), which is to "Develop resilient infrastructure, promote inclusive and sustainable industrialization, and foster technological innovation."

[0057] The entire contents of Japanese Patent Application No. 2022-69844 (filed April 21, 2022) are hereby incorporated by reference into this specification. [Explanation of symbols]

[0058] 1 vehicle 2 Steering robot 4. Self-location detection device 5 Controller X Driving Area Y (travel area X) perimeter

Claims

1. A method for setting turning characteristics of an automatic vehicle driving system, comprising: Automatically generate driving patterns to obtain parameters for turning characteristics, acquiring data on turning characteristics of the vehicle while automatically driving the vehicle according to the generated driving pattern; A method for setting turning characteristics of an automatic vehicle driving system, which sets the parameters based on the acquired data.

2. 2. The turning characteristic setting method according to claim 1, A turning characteristic setting method in which the vehicle automatic driving system is constructed by installing an automatic driving robot in the vehicle.

3. 3. The turning characteristic setting method according to claim 1 or 2, Before the automatic generation of the driving pattern, the vehicle is driven by a driver along the periphery of a driving area in which the automatic driving of the driving pattern is performed, and the driving area is acquired; A turning characteristic setting method, wherein the driving pattern is automatically generated within the driving area.

4. 4. The turning characteristic setting method according to claim 3, A turning characteristic setting method, wherein the parameter is a turning curvature or a turning radius of the vehicle relative to a steering angle of a steering wheel of the vehicle.

5. 4. The turning characteristic setting method according to claim 3, A turning characteristic setting method, wherein the parameter is a yaw rate of the vehicle relative to a steering angle of a steering wheel of the vehicle.

6. 4. The turning characteristic setting method according to claim 3, The turning characteristic setting method, wherein the parameter is a time constant of a response delay of a yaw rate of the vehicle.

7. 4. The turning characteristic setting method according to claim 3, A turning characteristic setting method, wherein the parameter is a stability factor relating to turning of the vehicle.

8. A vehicle automated driving system, a steering robot that rotates a steering wheel of a vehicle; a self-position detection device for detecting a self-position of the vehicle; a controller for controlling the vehicle automatic driving system, The controller is configured to automatically generate a driving pattern for acquiring parameters of turning characteristics, control the steering robot to automatically drive the vehicle according to the generated driving pattern, acquire data regarding the turning characteristics of the vehicle using the self-position detection device, and set the parameters based on the acquired data.

9. The vehicle automatic driving system according to claim 8, An automated vehicle driving system in which the steering robot is retrofitted to the vehicle.

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