阅读说明：本技术 车辆用信息处理装置 (Vehicle information processing device ) 是由 津田隆太 于 2018-05-15 设计创作，主要内容包括：在用于搭载于车辆的车辆用信息处理装置中,学习结果读出部具备从非易失性存储装置读出用于修正车载传感器的输出值的修正值并存储在临时存储部。修正部参照存储于临时存储部的学习结果来修正车载传感器的输出值。位置计算部基于从非易失性存储装置读出的地图数据与修正部所修正的车载传感器的输出值,计算地图数据中的车辆的行驶位置。导航控制部在学习结果从临时存储部消失的情况下,根据车辆行驶中的道路的种类来变更自主导航的继续的有无。(In a vehicle information processing device for mounting on a vehicle, a learning result reading unit includes a correction value for correcting an output value of an in-vehicle sensor read from a nonvolatile storage device and stored in a temporary storage unit. The correction unit corrects the output value of the in-vehicle sensor with reference to the learning result stored in the temporary storage unit. The position calculation unit calculates the traveling position of the vehicle in the map data based on the map data read from the nonvolatile storage device and the output value of the in-vehicle sensor corrected by the correction unit. When the learning result disappears from the temporary storage unit, the navigation control unit changes the presence or absence of continuation of autonomous navigation according to the type of road on which the vehicle is traveling.)

1. A vehicle information processing device for being mounted on a vehicle, comprising:

a learning result reading unit that reads a learning result of a correction value for correcting the output value of the in-vehicle sensor from the nonvolatile storage device and stores the learning result in the temporary storage unit,

a correction unit that corrects the output value of the in-vehicle sensor with reference to the learning result stored in the temporary storage unit,

a position calculation unit that calculates a traveling position of the vehicle in the map data based on the map data read from the nonvolatile storage device and the output value of the in-vehicle sensor corrected by the correction unit, an

And a navigation control unit that changes whether or not to continue autonomous navigation in accordance with a type of a road on which the vehicle is traveling, when the learning result disappears from the temporary storage unit.

2. The information processing apparatus for a vehicle according to claim 1,

when the learning result disappears from the temporary storage unit, and when the road on which the vehicle is traveling is a vehicle-dedicated road, the navigation control unit causes the learning result reading unit to read the learning result from the nonvolatile storage device to the temporary storage unit again, and continues autonomous navigation.

3. The information processing device for a vehicle according to claim 1 or 2, further comprising:

a satellite positioning unit that obtains position coordinates based on radio waves received from navigation satellites, and

a learning unit that learns a correction value for correcting an output value of the in-vehicle sensor so that a position coordinate calculated from the output value of the in-vehicle sensor becomes a position coordinate acquired by the satellite positioning unit;

the navigation control unit suspends autonomous navigation and causes the learning unit to learn the correction value when the road on which the vehicle is traveling is a road different from a road dedicated to a vehicle, in a case where the learning result disappears from the temporary storage unit.

4. The information processing apparatus for a vehicle according to claim 3,

the navigation control unit determines whether or not to continue the automatic navigation based on whether or not the road on which the vehicle is traveling is a vehicle-specific road during a period from the start of learning by the learning unit to the end of the learning.

5. The information processing apparatus for a vehicle according to claim 3 or 4, wherein

The navigation control unit causes the position calculation unit to calculate the traveling position of the vehicle based on the output value of the steering angle sensor and continues the automatic navigation when (1) the learning result regarding the angle sensor disappears from the temporary memory, (2) the road on which the vehicle is traveling is a vehicle-only road, (3) the learning of the correction value by the learning unit is not completed, and (4) the output value of the steering angle sensor that detects the steering angle of the steering wheel of the vehicle is available.

Technical Field

The present disclosure relates to an information processing device, and more particularly to a vehicle information processing device mounted on a vehicle.

Background

In recent years, there are known satellite navigation for acquiring position information of a vehicle based on a signal from a navigation satellite and traveling, autonomous navigation for traveling based on position information of a vehicle acquired based on output values of various sensors mounted on the vehicle, and hybrid navigation for using both. Patent document 1 discloses a technique of using both satellite navigation and autonomous navigation.

[ Prior art documents ]

[ patent document ]

Patent document 1: japanese laid-open patent publication No. 2009-41932

Disclosure of Invention

[ problems to be solved by the invention ]

In hybrid navigation, for example, when the intensity of a radio wave received from a navigation satellite becomes weak while a vehicle is traveling in a tunnel, the position of the vehicle is acquired by autonomous navigation. In order to realize autonomous navigation, there are vehicles equipped with devices for autonomous navigation. Such a device realizes autonomous navigation based on output values of an angle sensor, an acceleration sensor, and the like. These sensors may be subject to variation due to the method of mounting them on the vehicle, individual differences, and the like. Therefore, for example, a correction value for correcting the output value of a sensor is learned using position information or the like obtained from a GPS (Global Positioning System) sensor as teaching data.

The device that supports autonomous navigation changes the output value of the sensor by referring to the change value that is the learning result stored in the nonvolatile storage unit or the volatile temporary storage unit. Here, it is needless to say that the learning result does not exist in the initial learning stage before the changed value is learned. In addition, in the case of learning in the middle, only incomplete learning results exist. Further, when the learning result is stored in the volatile temporary storage unit, the stored content in the temporary storage unit may be reset due to, for example, an instantaneous interruption of the power supply of the vehicle or occurrence of a negative surge. Further, for example, when the size of a tire provided in a vehicle is changed, it is necessary to relearn the change value of the sensor. In such a case, it is difficult for the vehicle to continue correct autonomous navigation.

In addition, large-sized long-distance transportation vehicles such as trucks often run on automobile-dedicated roads such as highways. The automobile-dedicated road takes the design speed of the road into consideration. Therefore, the curvature and gradient of the road tend to be gentler than those of general roads in a city block or the like, depending on the terrain. For example, when the angle sensor is learned while the vehicle is traveling on a road dedicated to the vehicle, the amplitude of the output value of the angle sensor mounted thereon is small, and therefore, the learning of the output value is not suitable. On the other hand, there is a property that even if the learned value of the angle sensor is incorrect, since the curvature of the road is small, it does not cause too much problem.

On the other hand, when the vehicle is traveling on a road other than the automobile-dedicated road, it is likely that the environment is in which the output values of the various sensors including the angle sensor are easily learned. As described above, when the learning result relating to the correction of various sensors disappears, it is required to change the correspondence in accordance with the traveling condition of the vehicle including the road on which the vehicle travels.

The present disclosure provides a technique for coping with a situation where a learning result relating to correction of an output value of an in-vehicle sensor disappears in a vehicle that performs autonomous navigation using the in-vehicle sensor.

[ means for solving the problems ]

One aspect of the present disclosure is a vehicle information processing device for mounting on a vehicle. The device includes: a learning result reading unit that reads a learning result of a correction value for correcting the output value of the in-vehicle sensor from the nonvolatile storage device and stores the learning result in the temporary storage unit; a correction unit that corrects an output value of the in-vehicle sensor with reference to the learning result stored in the temporary storage unit; a position calculation unit that calculates a traveling position of the vehicle in the map data based on the map data read from the nonvolatile storage device and the output value of the in-vehicle sensor corrected by the correction unit; and a navigation control unit that changes whether or not to continue autonomous navigation in accordance with a type of a road on which the vehicle is traveling, when the learning result disappears from the temporary storage unit.

When the learning result disappears from the temporary storage unit, and when the road on which the vehicle is traveling is a vehicle-dedicated road, the navigation control unit may cause the learning result reading unit to read the learning result from the nonvolatile storage device to the temporary storage unit again and continue autonomous navigation.

The vehicle information processing device may further include: a satellite positioning unit that acquires position coordinates based on radio waves received from a navigation satellite; and a learning unit that learns a correction value for correcting the output value of the angle sensor so that a position coordinate calculated from the output value of the onboard sensor becomes a position coordinate acquired by the satellite positioning unit; the navigation control unit suspends autonomous navigation and causes the learning unit to learn the correction value when the road on which the vehicle is traveling is a road different from a road dedicated to a vehicle, in a case where the learning result disappears from the temporary storage unit.

The navigation control unit may determine whether or not to continue the automatic navigation based on whether or not the road on which the vehicle is traveling is a vehicle-specific road during a period from the start of the learning by the learning unit to the end of the learning.

The navigation control unit may cause the position calculation unit to calculate the traveling position of the vehicle based on the output value of the steering angle sensor and continue the automatic navigation when (1) the learning result regarding the angle sensor disappears from the temporary memory, (2) the road on which the vehicle is traveling is a vehicle-only road, (3) the learning of the correction value by the learning unit is not completed, and (4) the output value of the steering angle sensor that detects the steering angle of the steering wheel of the vehicle is available.

Effects of the invention

According to the present disclosure, it is possible to provide a technique for coping with a case where a learning result relating to correction of an output value of an in-vehicle sensor disappears in a vehicle that performs autonomous navigation using the in-vehicle sensor.

Drawings

Fig. 1 is a schematic diagram for explaining an outline of a vehicle information processing device according to an embodiment.

Fig. 2 is a diagram schematically showing a functional configuration of the vehicle information processing device according to the embodiment.

Fig. 3 is a flowchart for explaining a flow of processing executed by the vehicle information processing device according to the embodiment.

Fig. 4 is a diagram schematically showing a functional configuration of a vehicle information processing device according to modification 1 of the embodiment.

Fig. 5 is an output value conversion diagram schematically showing a relationship between an output value of an angle sensor and an output value of a steering angle sensor.

Detailed Description

< brief summary of the embodiments >

An outline of the embodiment will be described with reference to fig. 1.

Fig. 1 is a schematic diagram for explaining an outline of a vehicle information processing device 1 according to an embodiment. In the example shown in fig. 1, the vehicle information processing device 1 is mounted on a vehicle V driven by a driver D. The vehicle V includes an in-vehicle sensor 2 and a GPS receiving unit 3 in addition to the vehicle information processing device 1. Hereinafter, the "angle sensor 2" will be described as an example in which the in-vehicle sensor 2 is an angle sensor, but the in-vehicle sensor is not limited to the angle sensor, and may be any other sensor such as an acceleration sensor as long as it is a sensor for autonomous navigation.

The angle sensor 2 is implemented by, for example, a known gyro sensor or the like, and outputs the degree of inclination of the vehicle V. Although not shown in fig. 1, the vehicle V also includes an acceleration sensor. The vehicle information processing device 1 integrates the output values of the angle sensor 2 and the acceleration sensor, thereby realizing so-called autonomous navigation for acquiring a trajectory of the vehicle V moving from the starting point position.

The GPS receiver 3 receives radio waves transmitted from each of a plurality of navigation satellites. The vehicle information processing device 1 can also acquire the current position of the vehicle V on which the vehicle information processing device 1 is mounted by analyzing the radio wave received by the GPS receiving unit 3, thereby realizing so-called satellite navigation.

Here, the vehicle information processing device 1 cannot execute satellite navigation in a place where radio waves cannot be received from navigation satellites, such as a tunnel interior. On the other hand, since autonomous navigation uses output values of sensors mounted on the vehicle V, the vehicle information processing device 1 has an advantage that autonomous navigation can be basically performed at any time.

However, the output values of the angle sensor 2 and the acceleration sensor may vary depending on the mounting method or individual differences. Therefore, the vehicle information processing device 1 performs learning to obtain a correction value for correcting the output values of the angle sensor 2 and the acceleration sensor, for example, using the position acquired by the navigation satellite as teaching data. Thus, the vehicle information processing device 1 realizes high-precision autonomous navigation. Further, the learning process can be realized by using a known method, for example, optimization using a least square method, machine learning of a neural network or the like, or the like.

The vehicle information Processing device 1 includes a CPU (Central Processing Unit) and computing resources such as a memory, and performs correction of the output value of the sensor using the computing resources. Specifically, the vehicle information processing device 1 stores the output value of the sensor and the learning result for correcting the output value in a temporary storage unit that can be read and written at high speed, and corrects the output value. In general, since a volatile memory unit has a feature that it can be configured at a low cost and in a large capacity, the volatile memory unit is often selected as a storage location of a latest learning result. However, the temporary storage unit is a volatile memory, and may lose its contents due to a momentary interruption of the power supply of the vehicle V or a negative surge.

When the learning result for correcting the output value of the sensor disappears, if the relearning can be immediately performed, the vehicle information processing device 1 can continue the autonomous navigation. For example, it is considered that the vehicle V is frequently accelerated and decelerated no matter what kind of road the vehicle V travels on. Therefore, the relearning is often relatively easy to be performed with respect to the learning related to the output value of the acceleration sensor.

On the other hand, when the vehicle V travels on the vehicle-dedicated road, the frequency and the amount of change in the orientation of the vehicle body by the vehicle V are smaller than those when the vehicle V travels on a road other than the vehicle-dedicated road. This is because the curvature in the curve is set to be small on the assumption that the vehicle V travels at a high speed on the automobile-dedicated road.

Further, the exclusive road for the automobile is less at an intersection or the like than a road other than this, and the vehicle V is less likely to turn right or left. Therefore, when the vehicle V travels on the vehicle-dedicated road, the amplitude of the output value of the angle sensor is small, and it takes time to perform relearning and even if possible.

On the other hand, since the change in the orientation of the vehicle body of the vehicle V is small when the vehicle V is traveling on the vehicle-dedicated road, it can be said that the necessity of correcting the output value of the angle sensor 2 is small compared to when the vehicle V is traveling on a general road. That is, when the vehicle V is traveling on the vehicle-dedicated road, the autonomous navigation can be continued even if the correction accuracy of the output value of the angle sensor is low.

Therefore, the vehicle information processing device 1 according to the embodiment changes the presence or absence of continuation of autonomous navigation according to the type of road on which the vehicle V is traveling, when the learning result of the correction value for correcting the output value of the angle sensor 2 is missing from the temporary storage unit.

Specifically, when the road on which the vehicle V is traveling is a vehicle-only road, the vehicle information processing device 1 reads the past learning result stored in the nonvolatile storage device again into the temporary storage unit, and continues autonomous navigation. When the vehicle V travels on a road different from the vehicle-dedicated road, the vehicle information processing device 1 stops autonomous navigation and performs learning of a correction value for correcting the output value of the angle sensor.

Thus, the vehicle information processing device 1 according to the embodiment can appropriately cope with a case where the learning result relating to the correction of the output value of the angle sensor 2 is lost.

Hereinafter, the vehicle information processing device 1 according to the embodiment will be described in more detail.

< functional Structure of vehicle information processing device 1 >

Fig. 2 is a diagram schematically showing a functional configuration of the vehicle information processing device 1 according to the embodiment. The vehicle information processing device 1 includes: an angle sensor 2, a GPS receiving unit 3, a storage unit 10, and a control unit 20.

The storage unit 10 includes a nonvolatile storage device 11 such as an HDD (Hard disk Drive) or an SSD (Solid State Drive), and a temporary storage unit 12 such as a DRAM (Dynamic Random Access Memory). The nonvolatile storage device 11 functions as a storage unit for various programs for realizing the vehicle information processing device 1 of the embodiment and various data such as a learning result of a correction value for correcting the output value of the sensor. The temporary storage unit 12 functions as a work memory of the control unit 20. The nonvolatile storage device 11 is a nonvolatile memory, and the temporary storage unit 12 is a volatile memory.

The Control Unit 20 is a processor such as an ECU (Electronic Control Unit) of the vehicle V. The control unit 20 functions as a learning result reading unit 21, a correction unit 22, a position calculation unit 23, a navigation control unit 24, a satellite positioning unit 25, and a learning unit 26 by executing a program stored in the nonvolatile storage device 11.

The learning result reading unit 21 reads the learning result of the correction value for correcting the output values of the angle sensor 2 and the acceleration sensor from the nonvolatile storage device 11 and stores the result in the temporary storage unit 12. The correction unit 22 corrects the output values of the angle sensor 2 and the acceleration sensor with reference to the learning result stored in the temporary storage unit 12.

The position calculation unit 23 calculates the traveling position of the vehicle V in the map data based on the map data read from the nonvolatile storage device 11 and the output values of the angle sensor 2 and the acceleration sensor corrected by the correction unit 22. When the learning result disappears from the temporary storage unit 12, the navigation control unit 24 changes the presence or absence of continuation of autonomous navigation by the position calculation unit 23 according to the type of road on which the vehicle V is traveling.

More specifically, when the learning result disappears from the temporary storage unit 12, and when the road on which the vehicle V is traveling is a vehicle-dedicated road such as an expressway, the navigation control unit 24 causes the learning result reading unit 21 to read the learning result from the nonvolatile storage device 11 to the temporary storage unit 12 again, and continues autonomous navigation.

The navigation control unit 24 can determine the type of road on which the vehicle V is traveling by comparing the current position of the vehicle V with the map data read from the nonvolatile storage device 11. When information such as ETC (Electronic Toll Collection) is available, the navigation control unit 24 may determine whether the vehicle V is traveling on the expressway by determining whether the vehicle passes through an entrance and does not pass through an exit of the expressway.

Here, when the vehicle V travels on a road suitable for learning of the angle sensor 2, such as a city street, the correction value for correcting the output value of the angle sensor is learned, and the learning result is updated. The updated learning result is stored in the temporary storage unit 12, but is stored in the nonvolatile storage device 11 at a predetermined timing such as when the engine of the vehicle V is stopped.

Therefore, the learning result stored in the nonvolatile storage device 11 may be different from the learning result stored in the temporary storage unit 12. Specifically, the learning result stored in the temporary storage unit 12 reflects the latest learning more than the learning result stored in the nonvolatile storage device 11.

Therefore, the navigation control unit 24 may cause the learning result reading unit 21 to read again the learning result stored in the temporary storage unit 12, instead of the latest learning result, a learning result of the past. Since the case where the vehicle V travels on the automobile-dedicated road is not a condition suitable for the learning of the angle sensor 2, the learning result in the past is utilized as a so-called suboptimal strategy when the learning result disappears from the temporary storage section 12. Thereby, the vehicle information processing device 1 can continue autonomous navigation.

On the other hand, when the learning result is lost from the temporary storage unit 12, the navigation control unit 24 suspends the autonomous navigation and causes the learning unit 26 to learn the correction value when the road on which the vehicle V is traveling is a road different from the road dedicated to the automobile.

To realize this learning, the satellite positioning unit 25 acquires the position coordinates of the vehicle V based on the radio waves received by the GPS receiving unit 3 from the navigation satellites. The learning unit 26 learns a correction value for correcting the output value of the angle sensor 2 so that the position coordinates calculated from the output value of the angle sensor 2 become the position coordinates acquired by the satellite positioning unit 25.

When the road on which the vehicle V travels is not a vehicle-dedicated road, the vehicle V often travels on a curve or turns left and right, and the change in the output value of the angle sensor 2 is also abundant. Therefore, even if the learning result disappears from the temporary storage unit 12, the learning unit 26 can end the relearning in a shorter time than when the vehicle V travels on the vehicle-dedicated road. Therefore, when the road on which the vehicle V travels is not the vehicle-specific road, the navigation control unit 24 can restart the autonomous navigation in a short time by causing the learning unit 26 to relearn.

On the other hand, even if the road on which the vehicle V is traveling is a vehicle-only road, the learning unit 26 may learn the correction value. In this case, the learning by the learning unit 26 may progress slower than the learning in the case of a road other than the automobile-dedicated road, but the learning also progresses with time. In the case where the road on which the vehicle V is traveling is a vehicle-only road, the correction value in the learning process may be used even before the vehicle is completely finished if the learning performed by the learning unit 26 progresses to some extent. This is because, when the vehicle V is traveling on the exclusive-car road, at least the correction during traveling on the exclusive-car road can be learned, and since the correction amount is small, autonomous navigation is possible.

As described above, the navigation control unit 24 determines whether or not to continue autonomous navigation based on whether or not the road on which the vehicle V is traveling is a vehicle-specific road during a period from the start of learning by the learning unit 26 to the end of the learning.

< processing flow of information processing executed by the vehicle information processing device 1 >

Fig. 3 is a flowchart for explaining the flow of processing executed by the vehicle information processing device 1 according to the embodiment. The processing in this flowchart is started, for example, when the engine of the vehicle V is started.

The learning result reading unit 21 reads the learning result of the correction value for correcting the output value of the sensor from the nonvolatile storage device 11 and stores the result in the temporary storage unit 12 (S2). If the learning result stored in the temporary storage unit 12 does not disappear (no in S4), the correction unit 22 corrects the output value of the angle sensor 2 with reference to the learning result stored in the temporary storage unit 12 (S6). The position calculation unit 23 calculates the traveling position of the vehicle V in the map data based on the map data read from the nonvolatile storage device 11 and the output value of the angle sensor 2 corrected by the correction unit 22 (S8).

When the learning result stored in the temporary storage unit 12 disappears (yes at S4), the navigation control unit 24 determines the type of road on which the vehicle V is traveling. When the vehicle V is traveling on the vehicle-dedicated road (yes at S10), the navigation control unit 24 causes the learning result reading unit 21 to read the learning result from the nonvolatile storage device 11 to the temporary storage unit 12 again (S12).

The correction unit 22 corrects the output value of the angle sensor 2 with reference to the learning result read out again to the temporary storage unit 12 (S6). The position calculation unit 23 calculates the traveling position of the vehicle V in the map data based on the map data read from the nonvolatile storage device 11 and the output value of the angle sensor 2 corrected by the correction unit 22 (S8).

When the vehicle V is traveling on a road different from the automobile-dedicated road (no at S10), the GPS receiving unit 3 receives GPS data from navigation satellites (S14). The satellite positioning section 25 calculates a change in the positional information of the vehicle V based on the GPS data of the vehicle V (S16). The learning unit 26 learns a correction value for correcting the output value of the angle sensor (S18).

< effects exhibited by the vehicle information processing device 1 according to the embodiment >

As described above, according to the vehicle information processing device 1 of the embodiment, it is possible to provide a technique for coping with a case where the learning result concerning the correction of the output value of each sensor is lost in a vehicle that performs autonomous navigation using various sensors. For example, in the vehicle V that performs autonomous navigation using the angle sensor 2, it is possible to provide a technique for dealing with a case where the learning result relating to the correction of the output value of the angle sensor 2 disappears.

In particular, when the vehicle V is traveling on a road dedicated to a vehicle, since it is difficult to perform relearning of the correction value relating to the output value of the angle sensor 2, the navigation control unit 24 causes the learning result reading unit 21 to read the past learning result stored in the nonvolatile storage device 11. Thereby, the vehicle V can continue autonomous navigation.

Further, when the vehicle V is traveling on a road different from the exclusive road for the automobile, since the re-learning of the correction value relating to the output value of the angle sensor 2 is relatively easy, the navigation control unit 24 stops the autonomous navigation of the vehicle V and causes the learning unit 26 to learn the correction value relating to the sensor output value. Thus, the vehicle V can resume autonomous navigation in a relatively short time.

According to the vehicle information processing device 1 of the embodiment described above, even when the vehicle V unintentionally disappears the learning result while traveling on a vehicle-dedicated road such as an expressway, autonomous navigation can be performed with a certain degree of accuracy. Further, when the vehicle V disappears the learning result while traveling on a city street or the like, it is possible to suppress an error caused by using the automatic navigation from causing an obstacle to the traveling of the vehicle V.

The present disclosure has been described above with reference to the embodiments, but the technical scope of the present disclosure is not limited to the scope described in the embodiments. Various alterations and modifications to the described embodiments will be apparent to those skilled in the art. It is apparent that the modifications and improvements can be made within the technical scope of the present disclosure according to the description of the scope of the claims. Such a modification will be described below.

< modification 1 >

Fig. 4 is a diagram schematically showing a functional configuration of the vehicle information processing device 1 according to modification 1 of the embodiment. The vehicle information processing device 1 of modification 1 differs from the vehicle information processing device 1 of the above-described embodiment in that the vehicle information processing device 1 includes the steering angle sensor 4 and the position calculating unit 23 can refer to the output of the steering angle sensor 4.

Although the vehicle information processing device 1 according to modification 1 of the following embodiment is described, a description of a portion common to the vehicle information processing device 1 according to the embodiment is omitted or simplified as appropriate.

The navigation control unit 24 continues autonomous navigation when the vehicle V satisfies 4 conditions shown below. That is, (condition 1) the learning result disappears from the temporary storage unit 12, (condition 2) the road on which the vehicle V is traveling is the exclusive road for the automobile, (condition 3) the learning of the correction value by the learning unit 26 is not completed, and (condition 4) four conditions of the output value of the steering angle sensor 4 that detects the steering angle of the steering wheel of the vehicle V can be used.

When these 4 conditions are satisfied, the navigation control unit 24 causes the position calculation unit 23 to calculate the traveling position of the vehicle V based on the output value of the steering angle sensor 4, and continues autonomous navigation. Condition 4 will be described in more detail below.

The vehicle V changes its orientation by the driver D operating the steering wheel. Further, the change in the orientation of the vehicle V is larger as the operation amount of the steering wheel is larger. That is, it can be considered that the operation amount of the steering wheel of the vehicle V (i.e., the output value of the sensor steering angle 4) is correlated with the change in the orientation of the vehicle V (i.e., the output value of the angle sensor 2). Therefore, for example, if the nonvolatile storage device 11 stores information indicating the correspondence relationship between the output value of the steering angle sensor 4 and the output value of the angle sensor 2 in advance, the output value of the angle sensor 2 can be replaced with the output value of the steering angle sensor 4.

Fig. 5 is an output value conversion diagram schematically showing a relationship between the output value of the angle sensor 2 and the output value of the steering angle sensor 4. The output value conversion map shown in fig. 5 is stored in the nonvolatile storage device 11 and referred to by the position calculation unit 23. The output value conversion map is measured by, for example, a manufacturer of the vehicle V before shipment of the vehicle V and stored in the nonvolatile storage device 11.

As shown in fig. 5, since the output value of the steering angle sensor 4 and the output value of the angle sensor 2 have a positive correlation, the position calculation unit 23 can convert the output value of the steering angle sensor 4 into the output value of the angle sensor 2 by referring to the output value conversion map. The position calculation unit 23 can calculate the position information of the vehicle V by using the converted value. Thus, even if the learning result disappears from the temporary storage unit 12, the road on which the vehicle V is traveling is a vehicle-specific road, and the learning of the correction value by the learning unit 26 is not completed, the vehicle V can continue autonomous navigation.

< modification 2 >

The above description has been given mainly of the case where the learning unit 26 learns the correction amount of the output value of the angle sensor 2 using the position information calculated by the satellite positioning unit 25 as teaching data. Here, the learning unit 26 may be information other than GPS information as information used for teaching data. For example, when the map data stored in the nonvolatile storage device 11 is associated with the curvature information of the road, the learning unit 26 may learn the correction amount of the output value of the angle sensor 2 using the degree of inclination of the vehicle predicted from the information as teaching data.

The present application is based on the japanese patent application filed on 2017, 5, 18 (japanese patent application 2017-098582), the contents of which are hereby incorporated by reference.

[ Industrial availability ]

According to the present disclosure, it is possible to provide a technique for coping with a case where a learning result relating to correction of an output value of an in-vehicle sensor disappears in a vehicle that performs autonomous navigation using the in-vehicle sensor.

[ description of reference numerals ]

1 vehicle information processing device

2 Angle sensor

3GPS receiving part

4 steering angle sensor

10 storage part

11 nonvolatile memory device

12 temporary storage section

20 control part

21 learning result reading part

22 correcting part

23 position calculating part

24 navigation control unit

25 satellite positioning part

26 learning part

V vehicle