JP2014218124A - Operation support device and operation support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an operation support device and an operation support method which can suitably provide an operation support in accordance with a function estimated to be necessary for a vehicle with a little processing load.SOLUTION: An operation support device provides an operator with information supporting various operations required for various equipment in a vehicle 10. The operation support device comprises an attribute information acquisition part for acquiring attribute information specific to the operator, a state information acquisition part for acquiring information about states at different times of the vehicle 10, an estimation part for estimating a function provided for the vehicle 10 corresponding to the states at different times of the vehicle 10, a determination part for determining whether the estimated function is to be provided or not on the basis of the attribute information, and a providing part for providing the operator with the function which is determined to be provided to the operator by the determining part in a recognizable manner with an operation required for the equipment managing the function.

Description

  The present invention relates to an operation support apparatus and an operation support method that support operation of equipment mounted on a vehicle.

  In general, a vehicle performs various operations on the vehicle, such as driving operations, operations related to preventive safety devices, operations such as mirrors, lights, seats, windows and door locks, navigation operations, air conditioning operations, and audio operations. So that it can be used comfortably. By the way, such an operation has various operation procedures and timings that require the operation, and it is not always easy for an operator such as a vehicle driver to perform such an operation at an appropriate timing when necessary. In view of this, there has been proposed an apparatus that assists such an operation so that it can be appropriately performed when necessary, and an example thereof is described in Patent Document 1.

  The in-vehicle device described in Patent Literature 1 includes, as a control system, a microphone to which the utterance voice of a vehicle occupant is input, a voice recognition unit that recognizes a phrase included in voice data input from the microphone, and each ECU (control A vehicle information input unit to which information transmitted from the device is input, and an estimation unit to which information from the voice recognition unit and information from the vehicle information input unit are input. The estimation unit estimates the in-vehicle device to be controlled based on the information about the situation where the vehicle is input, which is input from the vehicle information input unit, and the recognition result of the voice data input from the voice recognition unit, Based on the stored learning data, the in-vehicle device to be controlled and its control content are determined. Then, the estimation unit instructs the voice / display control unit to notify the vehicle occupant of the determined in-vehicle device to be controlled and its control content via the system control unit.

JP 2010-247799 A

  In the apparatus described in Patent Document 1, the control content that is estimated to be necessary from time to time is determined based on information acquired through a voice recognition unit, a vehicle information input unit, and the like, and operation support for that is performed. However, since the control content estimated in this way is uniformly estimated based on the behavior and vehicle information of the occupant, the desired control content is not always determined, and the desired operation support is not always performed. . Therefore, although Patent Document 1 also illustrates that learning data is stored separately for each driver, the learning process takes time until results are obtained in the first place. Has the disadvantage of not being able to respond quickly. In addition, it is inevitable that the processing device requires high performance such as high processing capacity and a large storage capacity for the learning processing. Furthermore, in car sharing, etc., where a single vehicle is used by many people, the learning time itself is difficult to obtain because each user's driving time is not so long, and learning data is stored for the number of users. It is not possible to ignore the circumstances such as the need for more storage capacity.

  The present invention has been made in view of such a situation, and an object thereof is an operation capable of appropriately providing operation support according to a function estimated to be necessary for a vehicle with a small processing load. To provide a support device and an operation support method.

Hereinafter, means for solving the above-described problems and the effects thereof will be described.
An operation support apparatus that solves the above-described problem is an operation support apparatus that provides an operator with information for supporting various operations required for various devices of a vehicle, and includes attribute information unique to the operator. An attribute information acquisition unit for acquiring information, a state information acquisition unit for acquiring information on the current state of the vehicle, and an estimation unit for estimating a function provided to the vehicle corresponding to the current state of the vehicle A determination unit that determines whether the estimated function is provided / not provided based on the attribute information, and an operation required for a device that manages the function determined to be provided by the determination unit And providing a providing unit that is provided in a manner recognizable to the operator.

  An operation support method that solves the above-described problem is an operation support method that provides an operator with information for supporting various operations required for various devices of a vehicle, and includes attribute information unique to the operator. An attribute information acquisition step for acquiring information, a state information acquisition step for acquiring information on the current state of the vehicle, and an estimation step for estimating a function provided to the vehicle corresponding to the current state of the vehicle A determination step for determining whether the estimated function is provided / not provided based on the attribute information, and an operation required for a device that manages the function determined to be provided by the determination step And providing in a manner recognizable to the operator.

  According to such a configuration or method, operation support for activating a function determined to be provided based on attribute information is provided to the operator. Accordingly, a function suitable for the operator having the attribute information is selected and provided from functions corresponding to the state of the vehicle at that time. That is, an operation procedure corresponding to a function close to the operator's request is provided so as to be recognized, and operation support related to the function is performed.

  In addition, since the attribute information unique to the operator is static information such as age, license type, lifetime driving history, and vehicle driving distance, the load required for processing related to the attribute information can be kept low. By using the attribute information, the load on the estimated function provision / non-provision determination is reduced, and prompt processing can be expected. In addition, regardless of the number of operators of the vehicle and the length of use time of the operators, the functions that are determined to be appropriately determined and provided to any operator are determined to provide / not provide the estimated functions. Corresponding operation support can be provided.

In other words, regardless of the performance of the processing apparatus and the number of operators, operation support according to functions estimated to be necessary for the vehicle with a small processing load is appropriately provided.
For example, the information on the state of the vehicle at that time includes information based on the in-vehicle situation, information based on the vehicle state, information based on information outside the vehicle, and the like.

  As a preferred configuration, the determination unit has a priority corresponding to the attribute information and the acquired state of the vehicle, and performs the weighting based on the priority to perform the estimated function. Judge whether to provide or not.

  According to such a configuration, the provision / non-provision of the estimated function is determined by weighting based on the priority corresponding to the attribute information and the information on the acquired state of the vehicle. That is, the operator is provided with operation assistance for activating an appropriate function according to the current state of the vehicle. For example, information on the current state of the vehicle includes information based on the in-vehicle situation, information based on the vehicle state, information based on information outside the vehicle, and the like, and weighting is performed based on other priorities of the information. It may be.

  As a preferred configuration, the determination unit has a priority corresponding to the function estimated by the estimation unit and the attribute information, and provides the estimated function by performing weighting based on the priority. Make a decision not to provide.

  According to such a configuration, the provision / non-provision of the estimated function is determined by weighting based on the priority corresponding to the estimated function and attribute information. That is, the operator is provided with operation assistance for activating an appropriate function according to the current state of the vehicle. For example, as the estimated function, there are a driving support function, a preventive safety function, a function for improving the comfort in the vehicle, and the like, and each of these functions may have priority.

As a preferred configuration, the priority for the attribute information is determined based on the importance of each piece of information included in the attribute information.
According to such a configuration, the priority is determined based on the importance of each piece of information included in the attribute information. Therefore, a high priority is given to the operation corresponding to the function estimated to be highly important for the operator. Will come to be.

As a preferred configuration, the operator from which the attribute information is acquired is a driver of the vehicle.
According to such a structure, the operation | movement corresponding to various functions comes to be supported with respect to the driver | operator who performs most operations in a vehicle.

As a preferred configuration, the importance is set according to the skill level of the driving operation by the driver of the vehicle.
According to such a configuration, by setting the importance according to the skill level of the driving operation by the driver, the function required according to the state of the vehicle, which differs depending on the skill level of the driving operation, It can be proposed as a suitable one.

As a preferred configuration, the determination unit determines to provide an estimated function whose weighting based on the priority is a predetermined level or more.
According to such a configuration, the provision / non-provision of the estimated function is determined based on whether or not the estimated function is provided based on whether the weighting based on the priority is equal to or higher than a predetermined level. This makes it easy to perform the process. In addition, the provision of operation support corresponding to a function with a low weight based on priority is suppressed, and the driver's troublesomeness is reduced.

As a preferred configuration, when there are a plurality of the estimated functions, the determination unit determines to preferentially provide a larger weighted function.
According to such a configuration, a plurality of functions may be estimated at the same time depending on the state of the vehicle, but the operation is performed by making a determination to preferentially provide a larger weighted function among those functions. The user is naturally provided with the operation support corresponding to the function with the highest priority, that is, the most appropriate function in the current vehicle state.

  As a preferred configuration, the state information acquisition unit acquires at least one of information based on the in-vehicle situation, information based on the vehicle state, and information based on information outside the vehicle as information related to the current state of the vehicle. is there.

  According to such a configuration, by acquiring at least one of the information based on the in-vehicle situation, the information based on the vehicle state, and the information based on outside information as the information on the state of the vehicle at that time, A function according to the state is estimated. For example, the information based on the in-vehicle situation is information on a driver's situation that can be obtained from a voice recognition microphone, a vehicle interior camera, etc., such as information on speech, sleepiness, attachment / detachment of a seat belt, the number of passengers including the driver, is there. Further, the information based on the vehicle state includes the current speed and position that can be acquired from each ECU (electronic control unit) of the vehicle, the remaining amount of fuel, various setting states such as a preventive safety device and an air conditioner. In addition, information based on information outside the vehicle includes information on the driving environment of the vehicle, such as home, destination, road type, road condition, road surface condition, weather and road type, which can be obtained from a navigation device, an external camera, an external sensor, etc. is there.

The block diagram which shows the schematic structure about one Embodiment which actualized the operation assistance apparatus. The figure of the list which shows the attribute used for determination of a skill level in the operation support device. The figure of the list which shows the division of skill level in the operation support device. The figure of the list | wrist which shows the relationship between a skill level and the condition (state information) of a vehicle in the same operation assistance apparatus. The flowchart which shows the process of operation assistance in the same operation assistance apparatus. The flowchart which shows the process which acquires the condition (state information) of a vehicle in the same operation assistance apparatus. The flowchart which shows the process which determines the function provided in the operation assistance apparatus. The schematic diagram which shows typically the operation | movement which concerns on the operation assistance of the function provided in the same operation assistance apparatus.

An embodiment embodying an operation support apparatus will be described with reference to FIGS.
As shown in FIG. 1, the vehicle 10 includes a driver information acquisition unit 20 as an attribute information acquisition unit that acquires information on a driver as an operator. In addition, the vehicle 10 includes an in-vehicle state acquisition unit 30 that forms a state information acquisition unit that acquires a state in the vehicle, and a vehicle state acquisition unit 40 that forms a state information acquisition unit that acquires a state such as a running state of the vehicle 10. And an out-of-vehicle condition acquisition unit 50 that constitutes a state information acquisition unit that acquires out-of-vehicle conditions such as the environment in which the vehicle 10 is traveling. Further, the vehicle 10 is a mode in which the driver can recognize an operation required for a navigation device 60 that provides a driver with a driving support function such as route guidance information and a device that manages a function to be provided to the driver. And a selection processing unit 70 that provides the information.

  The driver information acquisition unit 20, the in-vehicle situation acquisition unit 30, the vehicle state acquisition unit 40, the out-of-vehicle situation acquisition unit 50, the navigation device 60, and the selection processing unit 70 include information including a microcomputer having a calculation device (CPU) and a storage device. Each is configured as a processing device. In other words, each information processing device includes an arithmetic device that executes arithmetic processing of various information processing programs, a read-only memory (ROM) that stores the information processing program and various data, and the arithmetic results of the arithmetic devices. And a volatile memory (RAM) in which are temporarily stored. Each information processing apparatus is provided with a non-volatile storage unit that can read and write information by an arithmetic device and can store information processing programs and various data. Such a storage unit is configured by an HDD (hard disk drive) or the like. Thereby, each information processing apparatus can provide a predetermined function by reading and executing one or a plurality of information processing programs held in the memory or the storage unit into the arithmetic device. In addition, the driver information acquisition unit 20, the vehicle interior status acquisition unit 30, the vehicle status acquisition unit 40, the vehicle exterior status acquisition unit 50, the navigation device 60, and the selection processing unit 70 are communicably connected via an in-vehicle network or the like. An example of the in-vehicle network is CAN (controller area network). As a result, the driver information acquisition unit 20, the vehicle interior status acquisition unit 30, the vehicle status acquisition unit 40, the vehicle exterior status acquisition unit 50, the navigation device 60, and the selection processing unit 70 can exchange various information with each other.

  The navigation device 60 refers to the current location of the vehicle detected using the global positioning system (GPS) or the like and map information including road information stored in advance, so that the driver can reach the travel destination. Guide the travel route. The navigation device 60 is set by a position detection unit 61 that detects the current position of the vehicle using GPS or the like, map information 62 including road map information (map database) used for navigation processing, and the driver. And an information selection unit 63 that selects map information based on the destination information and the current position of the vehicle 10. The navigation device 60 includes an HMI (human machine interface) including an input device including an operation switch, a display device 64 that displays an image, an audio output device 65 including a speaker, and the like. The navigation device 60 can also notify the driver of information related to operation support corresponding to a predetermined function input from the selection processing unit 70 via the HMI.

  The input device includes a touch switch integrally provided on the display screen of the display device 64, a mechanical operation switch arranged around the display screen, and the like, and is necessary for each device of the vehicle 10 including the navigation device 60. It can be used for various operations. Since the navigation device 60 can transmit information input from the input device by communication, it is also used as an interface for input to other devices.

  The display device 64 is configured by a liquid crystal display or the like, and displays an image that can be viewed by the driver at a position where the driver can view by being installed at a position that can be viewed by the driver.

  The audio output device 65 includes a signal converter and a speaker, and sounds, warning sounds, and the like corresponding to the signal input to the signal converter are output from the speaker in a manner that can be recognized by the driver.

  The driver information acquisition unit 20 is an information selection unit 21 that selects attribute information unique to the driver who is currently driving the vehicle 10, and a driver's unique attribute that is stored in the storage unit separately for each driver. And driver information 22 which is information.

  The information selection unit 21 identifies the driver currently driving the vehicle 10 and selects attribute information corresponding to the identified driver from the driver information 22 (attribute information acquisition step). The information selection unit 21 may identify the driver currently driving the vehicle 10 based on information set by the driver through the navigation device 60 or the like, or a portable device that is different for each driver. You may carry out based on the information.

  The driver information 22 includes attribute information unique to the driver, in addition to the driver. The unique attribute information of the driver includes the age, driver classification, lifetime driving history, and vehicle driving distance for the driver. Of these, for example, one of the three categories of “the category for which a license was acquired for the first time”, “the category for which there is no accident / no violation for a predetermined period”, and “the other category” are set as the driver category. Is done. In the present embodiment, the category for which the license is obtained for the first time is indicated as “green”, the category for which there is no accident / non-compliance for a predetermined period is indicated as “gold”, and the other category is indicated as “blue”. The lifetime driving history is set to the period after obtaining a driver's license. As the vehicle driving distance, a distance that the driver has driven the vehicle 10 is set. Such attribute information can be used as an index for evaluating the skill level of driving. For example, the age may be used for evaluation of driving ability and attention related to driving. The driver classification may be used for evaluation of the degree of tendency to perform good driving. Lifetime driving history may be used to evaluate driving experience. The vehicle driving distance may be used for evaluating the degree of experience with the vehicle 10.

  The in-vehicle situation acquisition unit 30 is provided with an in-vehicle image acquired by an in-vehicle camera (not shown) and an in-vehicle voice acquired from an in-vehicle microphone (not shown). , Grasp the utterance content (state information acquisition step). The in-vehicle situation acquisition unit 30 performs a conversation in the vehicle with a drowsiness detection unit 31 that detects the drowsiness of the driver based on images and sounds in the vehicle, a passenger number detection unit 32 that detects the number of people in the vehicle 10, and the like. And a voice recognition unit 33 for voice recognition.

  The drowsiness detection unit 31 detects the drowsiness of the driver based on the image recognition of the facial expression of the driver imaged by the in-vehicle camera. The drowsiness detection unit 31 may detect the drowsiness of the driver based on a biological signal such as the driver's heartbeat.

  The number-of-passengers detection unit 32 detects the number of passengers in the vehicle 10 based on image recognition processing of the captured image captured by the in-vehicle camera. The passenger number detection unit 32 may detect the number of passengers based on use / nonuse of the seat belt, weighting of each seat, detection of a biological signal in each seat, and the like.

  The voice recognition unit 33 performs voice recognition processing on the voice signal based on the voice in the car input from the car microphone, and extracts words included in the voice in the car. The voice recognition unit 33 is a word that is highly relevant to driving a car, such as “tired”, “want to take a break”, “sleepy”, “hot”, “cold”, “sunny”, “cloudy”, “rain”. It is preferable that “bright”, “dark”, etc. can be detected particularly well.

The in-vehicle situation acquisition unit 30 may grasp the in-vehicle situation through a configuration other than the above, such as a setting by the driver.
The vehicle state acquisition unit 40 acquires various states of the vehicle 10 via an electronic control unit (ECU) provided in the vehicle and various sensors connected to these ECUs (state information acquisition step). Various sensors provided in the vehicle include a rotational speed sensor, an acceleration sensor, a remaining amount sensor, and the like (not shown). The vehicle state acquisition unit 40 includes a speed detection unit 41 that detects a speed, a fuel detection unit 42 that detects a remaining amount of fuel, a preventive safety device 43 that manages various types of preventive safety devices, and adjustment of an in-vehicle temperature. And an air conditioner 44 for performing.

The speed detector 41 detects the current speed based on a signal input from a rotational speed sensor that detects the rotational speed of the wheel.
The fuel detector 42 detects the remaining amount of fuel based on a signal input from a remaining amount sensor that detects the remaining amount of fuel.

  The preventive safety device 43 is a device that controls the operation of one or more functions for preventive safety to prevent accidents, and switches between valid / invalid of these functions and various functions related to these functions. Set up. Note that the preventive safety device 43 may operate as a function for performing driving support. The preventive safety functions controlled by the preventive safety device 43 include an anti-lock brake system that suppresses the locking of the wheel being braked, a vehicle stability control system that suppresses the side slip of the vehicle, and the wheels of the vehicle at the start and acceleration of the vehicle. Traction control to prevent idling of the vehicle. Other preventive safety functions include cruise control that follows the preceding vehicle while maintaining the distance from the preceding vehicle, and lane keeping assist that assists the steering operation to maintain the vehicle traveling along the lane. Can be mentioned.

The air conditioner 44 is an air conditioner that adjusts the temperature inside the vehicle in order to enhance the comfort in the vehicle, and can perform switching between cooling / heating in the vehicle, setting and detecting the temperature in the vehicle, and the like.
The vehicle outside condition acquisition unit 50 acquires a vehicle outside condition that is a traveling environment of the vehicle 10 through various sensors and the like provided in the vehicle (state information acquisition step). Although various sensors and the like provided in the vehicle are not shown in the drawings, examples include an outside camera, millimeter wave radar, laser radar, vehicle-to-vehicle communication, road-to-vehicle communication, and the like. Further, the vehicle exterior situation acquisition unit 50 can also obtain necessary information from the navigation device 60.

  The vehicle exterior status acquisition unit 50 acquires a current position detection unit 51 that detects the current position, a road status detection unit 52 that acquires the status of the road that is running, and attribute information that is static information of the road that is running A road information acquisition unit 53, a destination information acquisition unit 54 that acquires information related to the destination of the vehicle 10, and a weather detection unit 55 that detects the weather.

The current position detection unit 51 detects the current position of the vehicle using GPS or the like. Note that the current position detection unit 51 may acquire the current position from the navigation device 60.
The road condition detection unit 52 acquires the current road condition based on various information. Examples of road conditions include road surface conditions, tendency of congestion, presence / absence of traffic congestion, and inter-vehicle distance. The road condition detection unit 52 detects the current road condition, for example, whether the road surface is dry or wet, based on information such as a camera outside the vehicle, millimeter wave radar, or laser radar, or detects traffic congestion. Or detect the distance between vehicles.

  The road information acquisition unit 53 acquires attribute information including unique attributes of the road based on map information included in the navigation device 60, road-to-vehicle communication, and the like. The road attribute information includes road type, lane width, inclination, and the like. For example, when the traveling road indicated by the navigation device 60 is a highway, the road information acquisition unit 53 may acquire the highway as the type of road in the road attribute information.

  The destination information acquisition unit 54 acquires information regarding the destination included in the map information 62 of the navigation device 60 acquired based on the destination set in the navigation device 60.

The weather detection unit 55 detects rainfall, fog, daytime / nighttime, and the like based on image recognition processing of an image captured by, for example, a camera outside the vehicle.
The selection processing unit 70 provides a driver estimated based on various information obtained from the driver information acquisition unit 20, the in-vehicle state acquisition unit 30, the vehicle state acquisition unit 40, the out-of-vehicle state acquisition unit 50, and the navigation device 60. The operation required for the device that manages the power function is provided in a manner recognizable to the driver. That is, the selection processing unit 70 acquires attribute information unique to the driver from the driver information acquisition unit 20 and information on the current state of the vehicle 10 in the vehicle situation acquisition unit 30, the vehicle state acquisition unit 40, and the outside of the vehicle Obtained from the situation obtaining unit 50 and the navigation device 60. In addition, the selection processing unit 70 estimates the function provided to the vehicle 10 corresponding to the current state of the vehicle 10 and determines whether the function is estimated or not provided by the estimation unit to the driver. Based on unique attribute information. Moreover, the selection process part 70 provides the operation | movement required for the apparatus which manages the function about the function judged to provide in the aspect which a driver | operator can recognize.

  More specifically, the selection processing unit 70 is information used to calculate a skill level calculated by a skill level calculation unit 71 that calculates a skill level based on attribute information unique to the driver, and a storage unit. Skill level calculation information 72 is provided. The selection processing unit 70 is required for a proposed function determination unit 73 as a determination unit that determines whether a function is provided / not provided based on attribute information unique to the driver, and a device that manages the provided function. A suggestion operation providing unit 74 for proposing an operation to be performed. Further, the selection processing unit 70 is a function estimation unit 75 that estimates a candidate function to be provided to the vehicle 10 corresponding to the state of the vehicle 10 and a rule used for estimation of a candidate function. First to third estimation rules 76 to 78 are provided.

The skill level calculation information 72 is information for scoring the priority of each attribute included in the driver attribute information from the viewpoint of the demand level.
As shown in FIG. 2, the skill level calculation information 72 includes, as attributes included in the driver attribute information, age, driver classification, lifetime driving history, and vehicle driving distance, which are particularly important attributes. Corresponding rules for scoring those attributes are included. For example, the skill level calculation information 72 includes a graph for associating the age with the score, a graph for associating the driver category with the score, a graph for associating the lifetime driving history with the score, and the vehicle driving distance as the score. And a graph for associating with. The highest point of each attribute is given according to the importance of the attribute, for example, the importance in terms of the skill level of driving operation.

  In the present embodiment, the age is associated with any score of 1 to 3, and the 50-60 age group is associated with the highest 3 points, to the 18 and 80 years before and after that. The number of points associated with each other decreases as it goes, and at the age of 18 or 80, it is associated with one point. The driver category is associated with either 1, 3 or 5 points. If the category is “green”, it is associated with one point, and if the category is “blue”, it is associated with 3 points. If the category is “gold”, it is associated with the highest five points. Lifetime driving history is associated with any score from 1 to 7, so that it is associated with one point in a year when the driving history is short, and then associated with a high score for a longer driving history In 50 years with a long driving history, it is related to the highest point of 7 points. The vehicle driving distance is associated with any one of 1 to 10 points, and is associated with one point from a short driving distance of 10 km to about 50 to 60,000 km, and thereafter 2 to 30,000 km. It rises during this period and is related to the highest 10 points.

  As shown in FIG. 3, the skill level calculation unit 71 includes a skill level determination list 711 for determining the driver's skill level based on the scored attributes. In the skill level judgment list 711, when the total score is 10 or less, the skill level is beginner level, when the score is 11 to 20 points, the skill level is intermediate, and when the score is 21 points or more, the skill level is skilled. Is set.

  The skill level calculation unit 71 acquires driver information 22 that is attribute information unique to the driver who drives the vehicle 10 at that time, which is selected by the information selection unit 21 from the driver information acquisition unit 20. The skill level calculation unit 71 scores each attribute included in the acquired driver information 22 in association with the attribute set in the skill level calculation information 72, and all of the scored values are scored. Add the points to calculate the driver's points. Then, the skill level calculation unit 71 specifies the skill level of the driver based on comparing the calculated score with the total score set in the skill level determination list 711. For example, when the driver attribute information is “20 years old”, the driver classification is “green”, the lifetime driving history is “2 years”, and the vehicle driving distance is “50,000 km”, the skill level calculation is performed. Since the points associated on the basis of the information 72 are “1”, “1”, “1”, and “1”, “4” obtained by adding them becomes the driver's score. Then, based on the comparison with the skill level determination list 711, the “4” point is specified to be a beginner. Further, for example, when the driver attribute information is “50 years old”, the driver classification is “gold”, the lifetime driving history is “30 years”, and the vehicle driving distance is “100,000 km”, Since the points associated on the basis of the degree calculation information 72 are “3”, “5”, “4”, and “10”, “22” obtained by adding them becomes the driver's score. Based on the comparison with the skill level determination list 711, it is calculated that “22” points are skilled.

  The first to third estimation rules 76 to 78 are candidate functions that need to be provided to the vehicle 10 according to various information obtained from the in-vehicle situation acquisition unit 30, the vehicle state acquisition unit 40, and the out-of-vehicle situation acquisition unit 50. It is a rule for estimating. The first estimation rule 76 is set with a rule that can estimate a function corresponding to the in-vehicle situation obtained from the information from the in-vehicle situation acquisition unit 30 as a candidate. In the second estimation rule 77, a rule is set that can estimate a function corresponding to the vehicle state obtained from information from the vehicle state acquisition unit 40 as a candidate. The third estimation rule 78 is set with a rule that can estimate a function corresponding to the travel environment obtained from information from the outside-vehicle condition acquisition unit 50 as a candidate.

Note that the first to third estimation rules 76 to 78 are predetermined experimentally, empirically, or theoretically.
The function estimation unit 75 is based on various information obtained from the in-vehicle situation acquisition unit 30, the vehicle state acquisition unit 40, and the out-of-vehicle situation acquisition unit 50, and the first to third estimation rules 76 to 78 corresponding to the information. The function that needs to be provided to the vehicle 10 corresponding to the state of the vehicle 10 is estimated (estimation process). That is, the function estimation unit 75 estimates a function that is a candidate for a function to be provided based on the in-vehicle situation obtained from the in-vehicle situation acquisition unit 30 and the first estimation rule 76. The function estimation unit 75 estimates a function that is a candidate for a function to be provided based on the vehicle state obtained from the vehicle state acquisition unit 40 and the second estimation rule 77. Furthermore, the function estimation unit 75 estimates a function that is a candidate for a function to be provided based on the vehicle exterior situation obtained from the vehicle exterior situation acquisition unit 50 and the third estimation rule 78.

  For example, when the function estimating unit 75 determines that the driver is tired from the remarks of the driver as the in-vehicle situation based on the information from the in-vehicle situation acquiring unit 30, based on the first estimation rule 76, As a function that needs to be provided, a function for reducing driver fatigue is estimated as a candidate. The functions estimated in this way include cruise control, route search to a resting place by the navigation device 60, adjustment of the in-vehicle temperature, and the like.

  For example, the function estimation unit 75 needs to provide the vehicle state based on the information from the vehicle state acquisition unit 40 based on the second estimation rule 77 when it is determined that the speed of the vehicle 10 is a constant speed. As a function, a function for traveling at a constant speed is estimated as a candidate. Examples of functions estimated in this way include cruise control.

  For example, the function estimation unit 75 needs to provide, as vehicle outside information based on information from the vehicle outside situation acquisition unit 50, based on the third estimation rule 78 when it is determined that the traveling environment is a highway. As a function, a function for driving more comfortably on the highway is estimated as a candidate. Functions estimated in this way include cruise control and lane keeping assistance.

Then, the function estimation unit 75 transmits the estimated functions to the proposed function determination unit 73.
The proposed function determination unit 73 determines a function to be provided to the driver based on the relationship between the skill level of the driver specified by the skill level calculation unit 71 and the function estimated as a candidate by the function estimation unit 75. (Judgment process).

  As shown in FIG. 4, the proposed function determination unit 73 is provided with a weighting list 731 for performing weighting based on priority corresponding to the skill level of the driver and the acquired information of the vehicle 10 from time to time. .

  In the weighting list 731, the driver's skill level is divided into three levels of beginner level, intermediate level, and skill level, and for each of the classified skill levels, priority is assigned according to the in-vehicle situation, the vehicle condition, and the outside condition. The base weights are set in three levels of “small”, “medium”, and “large” in ascending order. For example, when the driver's skill level is “beginning”, the weight given to the in-vehicle situation is “small”, the weight given to the vehicle state is “medium”, and the weight given to the outside situation is “large”. The Further, when the driver's skill level is “intermediate”, the weight given to the in-vehicle situation is “medium”, the weight given to the vehicle state is “medium”, and the weight given to the outside situation is “medium”. When the driver's skill level is “skilled”, the weight given to the in-vehicle situation is “large”, the weight given to the vehicle state is “small”, and the weight given to the outside condition is “small” .

  As described above, the in-vehicle situation is information acquired from the in-vehicle state acquisition unit 30, and the weight given to the in-vehicle situation is the same as the function estimated based on the driver's image and voice, for example. To be granted. Moreover, a vehicle state is the information acquired from the vehicle state acquisition part 40, and the weight provided to a vehicle state is similarly provided to the function estimated based on the vehicle speed, for example. The vehicle outside situation is information acquired from the vehicle outside situation acquisition unit 50, and the weight given to the vehicle outside situation is similarly given to the function estimated based on the road situation, for example.

  That is, the proposed function determination unit 73 gives each function estimated by the function estimation unit 75 the same weight as the acquired information from which the function is estimated. For example, when the driver's skill level is “beginning”, the proposed function determination unit 73 is “small” for the function estimated based on the in-vehicle situation and “medium” for the function estimated based on the vehicle state. In addition, “large” is assigned as a weight to the function estimated based on the situation outside the vehicle. Further, when the skill level of the driver is “intermediate”, the proposed function determination unit 73 is “medium” for the function estimated based on the in-vehicle situation, and “medium” for the function estimated based on the vehicle state. In addition, “medium” is assigned as a weight to the function estimated based on the situation outside the vehicle. Furthermore, when the driver's skill level is “skilled”, the proposed function determining unit 73 is “large” for the function estimated based on the in-vehicle situation, “small” for the function estimated based on the vehicle state, “Small” is assigned as a weight to each function estimated based on the situation outside the vehicle. That is, the proposed function determination unit 73 can appropriately weight the vehicle status (state information) based on the skill level based on the driver attributes. Further, the proposed function determination unit 73 uses the driver attributes and the weighting list 731 to suppress the processing load related to the weighting process. For example, the processing load compared to the learning process performed for each driver And the processing can be performed quickly.

  Then, the proposed function determination unit 73 determines the function with the highest weight as the function to be provided to the driver of the vehicle 10 by giving a high priority to the function with the higher weight. That is, the proposed function determination unit 73 determines a function that does not provide (non-provide) a function other than the function with the largest weight.

  The suggested operation providing unit 74 provides the operation support information related to the operation required for the device that manages the function determined as the function provided by the proposed function determining unit 73 to the driver via the navigation device 60. Provide (providing process). The operation support information is information that determines a procedure for an operation required for a device that manages the function, a display for making the procedure easy to understand, and the like, and is stored in advance in a storage unit of the selection processing unit 70 or the like. ing. For example, it is preferable that the information is stored corresponding to the functions estimated from the first to third estimation rules 76 to 78. When the function to be provided from the proposed function determining unit 73 is input, the proposed operation providing unit 74 acquires information on operation support for the function from a storage unit or the like in which the function is stored, and the acquired operation support information Are output from the display device 64 and the voice output device 65 of the navigation device 60 so that the driver can recognize them. When the information related to the function operation support is stored in the navigation device 60, the suggested operation providing unit 74 notifies the navigation device 60 of the function to be provided, and the navigation device 60 that has received the notification indicates the function. Information regarding operation support may be acquired from a storage unit or the like in which the information is stored and provided to the driver.

Next, processing related to operation support executed by the selection processing unit will be described. The processing related to the operation support is executed at regular intervals.
As shown in FIG. 5, when the process related to the operation support is started, the selection processing unit 70 performs a skill level calculation process as a process for specifying the skill level of the driver (step S10 in FIG. 5). The selection processing unit 70 executes a skill level calculation process when the driver gets on the vehicle 10 to specify the driver, and uses the specified driver information until the driver gets off. May be.

  Moreover, the selection process part 70 performs a vehicle condition analysis process as a process which analyzes the condition regarding a vehicle (step S20 of FIG. 5). The situation regarding the vehicle includes at least one of an in-vehicle situation, a vehicle state, and an outside situation. That is, the selection processing unit 70 acquires information related to the situation regarding the vehicle from the in-vehicle state acquisition unit 30, the vehicle state acquisition unit 40, and the out-of-vehicle state acquisition unit 50.

  That is, as shown in FIG. 6, the selection processing unit 70 provides the vehicle 10 corresponding to the in-vehicle situation by applying the in-vehicle situation based on the information obtained from the in-vehicle situation acquiring unit 30 to the first estimation rule 76. The function that needs to be estimated is estimated (step S21 in FIG. 6). Further, the selection processing unit 70 applies a vehicle state based on information obtained from the vehicle state acquisition unit 40 to the second estimation rule 77, thereby providing a function that needs to be provided to the vehicle 10 corresponding to the vehicle state. Estimate (step S22 in FIG. 6). Furthermore, the selection processing unit 70 applies functions outside the vehicle based on information obtained from the vehicle outside situation acquisition unit 50 to the third estimation rule 78, thereby providing functions that need to be provided to the vehicle 10 corresponding to the vehicle outside situation. Estimate (step S23 in FIG. 6). That is, in the vehicle situation analysis process in step S20 of FIG. 5, one or more functions that need to be provided to the vehicle 10 are estimated.

Then, as shown in FIG. 5, the selection processing unit 70 performs a providing function selection process for selecting a function required according to the situation of the vehicle 10 (step S <b> 30 in FIG. 5).
That is, as shown in FIG. 7, the selection processing unit 70 performs a process of weighting each function estimated to be provided based on the function and driver attribute information (step of FIG. 7). S31). And the selection process part 70 determines the function with a large weight provided to the estimated function as a function which should be provided (step S32 of FIG. 7). That is, the selection processing unit 70 determines a function that does not provide (non-provide) a function other than the function determined to be provided.

  As shown in FIG. 5, the selection processing unit 70 acquires operation support information corresponding to an operation necessary for a device that manages the selected function, and the driver recognizes the acquired information. An operation support information output process that is a process for outputting in a possible manner is performed (step S40 in FIG. 5). The selection processing unit 70 acquires, as operation support information, information indicating an operation procedure to be displayed on the display device 64 of the navigation device 60, information such as a sound for instructing an operation switch to be output to the audio output device 65, and the like. The acquired information is output as information recognizable to the driver via an appropriate HMI. As a result, the selection processing unit 70 provides operation support information to the driver via the image display of the display device 64 of the navigation device 60, the sound of the audio output device 65, or the like.

The operation of the operation support apparatus will be described with reference to FIG. In FIG. 8, it is assumed that the driver is determined to have a skill level of beginner from the attribute information.
First, in the vehicle 10, when the driver murmurs “I am tired”, the sound is input to the in-vehicle situation acquisition unit 30 through the in-vehicle microphone. The in-vehicle situation acquisition unit 30 recognizes the in-vehicle situation that the driver is tired by the voice recognition process of the input voice, and transmits the in-vehicle situation that the driver is tired to the selection processing unit 70.

  The selection processing unit 70 obtains the in-vehicle state that the driver is tired from the in-vehicle state acquisition unit 30, and the vehicle 10 from the vehicle state acquisition unit 40 is traveling at a constant speed as the current state of the vehicle 10. The vehicle state and the vehicle outside situation that the type of road is a highway is obtained from the vehicle outside situation acquisition unit 50. Since the driver is a beginner, “small” is given to the in-vehicle situation, “medium” to the vehicle state, and “large” to the outside situation.

  The selection processing unit 70 selects a function to be provided to the driver based on the obtained in-vehicle situation, vehicle state, and outside-vehicle situation weight. In other words, the selection processing unit 70 states that the weight of the in-vehicle situation that the driver is tired is “small”, the weight of the vehicle state that the vehicle is traveling at a constant speed is “medium”, and the type of road is a highway. Since the weight of the situation outside the vehicle is “large”, a function that is estimated based on the type of road being an expressway is selected as a candidate. When there are a plurality of such candidates, a candidate that is highly relevant to the vehicle state of traveling at a constant speed with a weight of “medium” is selected. If there are still a plurality of candidates, a candidate that is highly relevant to the in-vehicle situation in which the driver with a weight of “small” is tired is selected.

  For example, the selection processing unit 70 estimates cruise control and lane keeping assistance as candidates as functions to be provided to the vehicle 10 based on the fact that the type of road is a highway. Since there are two estimated functions, the selection processing unit 70 selects the highly relevant cruise control as a function to be provided to the vehicle 10 based on traveling at a constant speed. On the other hand, other functions are not provided (not provided).

  Then, the selection processing unit 70 causes the display device 64 of the navigation device 60 to display an operation support display that supports an operation procedure for enabling the function to the ECU that provides the cruise control function. For example, the selection processing unit 70 displays a sentence “Do you want to set cruise control?” And a “Yes” switch and a “No” switch as touch switches for the driver to operate on the display device 64. Let

  In this way, the selection processing unit 70 determines whether to provide or not provide a function estimated as a function provided to the vehicle 10 corresponding to the state of the vehicle 10 based on the driver's attribute information. Do. Then, the selection processing unit 70 provides the function determined to be provided in a manner recognizable to the driver together with an operation required for the device that manages the function, for example, an operation through the navigation device 60. .

As described above, according to the operation support device and the operation support method according to the present embodiment, the effects listed below can be obtained.
(1) Operation assistance for activating a function determined to be provided based on attribute information is provided to the driver. Thus, a function suitable for the driver having the attribute information is selected and provided from functions corresponding to the state of the vehicle 10 at that time. That is, an operation procedure according to a function close to the driver's request is provided so as to be recognized, and operation support related to the function is performed.

  In addition, since the attribute information unique to the driver is static information such as age, license type, lifetime driving history, and driving distance of the vehicle, the load required for processing related to the attribute information can be kept low. By using the attribute information, the load on the estimated function provision / non-provision determination is reduced, and prompt processing can be expected. Further, regardless of the number of operators of the vehicle 10 and the length of use time of the driver, the function that is determined to appropriately determine whether to provide or not provide the estimated function to any driver. It is possible to provide operation support corresponding to

  That is, operation support according to functions estimated to be necessary for the vehicle 10 with a small processing load is appropriately provided regardless of the performance of the information processing apparatus such as the selection processing unit 70 and the number of drivers. become.

For example, the information on the state of the vehicle 10 at that time includes information based on the in-vehicle situation, information based on the vehicle state, information based on outside information, and the like.
(2) The provision / non-provision of the estimated function is determined by weighting based on the priority corresponding to the attribute information and the information on the acquired state of the vehicle 10. That is, the driver is provided with operation support for activating an appropriate function according to the current state of the vehicle 10. For example, information on the current state of the vehicle 10 includes information based on the in-vehicle situation, information based on the vehicle state, information based on information outside the vehicle, and the like, and is weighted from another priority of these information. You may do it.

  (3) The provision / non-provision of the estimated function is performed by weighting based on the priority corresponding to the estimated function and attribute information. That is, the driver is provided with operation support for activating an appropriate function according to the current state of the vehicle 10. For example, as the estimated functions, there are a driving support function, a preventive safety function, a function for improving the in-vehicle comfort, and the like, and each of these functions may have priority.

  (4) Since the priority is determined based on the importance of each information included in the attribute information, the operation corresponding to the function estimated to be highly important for the driver is given high priority. .

(5) Operations corresponding to various functions are supported for the driver who performs the most operations in the vehicle 10.
(6) By setting the importance level according to the skill level of the driving operation by the driver, the function required according to the state of the vehicle 10 that differs depending on the skill level of the driving operation is suitable for the driver. Can be proposed as.

  (7) Since it is determined whether the estimated function is provided / not provided based on whether the weighting based on the priority is the largest, it is easy to perform processing related to the determination of whether the estimated function is provided / not provided. become. In addition, the provision of operation support corresponding to a function with a low weight based on priority is suppressed, and the driver's troublesomeness is reduced.

  (8) Although a plurality of functions may be estimated at the same time depending on the state of the vehicle 10, the priority of the operator is automatically determined by making a determination to provide a larger weighted function among these functions. Operation support corresponding to the most appropriate function in the current state of the vehicle, that is, the high function is performed.

  (9) As information on the current state of the vehicle 10, at least one of information based on the in-vehicle situation, information based on the vehicle state, and information based on information outside the vehicle is acquired to respond to the state of the vehicle The function comes to be estimated. For example, the information based on the in-vehicle situation is information on a driver's situation that can be obtained from a voice recognition microphone, a vehicle interior camera, etc., such as information on speech, sleepiness, attachment / detachment of a seat belt, the number of passengers including the driver, is there. Further, the information based on the vehicle state includes the current speed and position that can be acquired from each ECU (electronic control unit) of the vehicle, the remaining amount of fuel, various setting states such as a preventive safety device and an air conditioner. Further, information based on information outside the vehicle includes information on the traveling environment of the vehicle 10 such as home, destination, road type, road condition, road surface condition, weather, road type, etc. that can be acquired from a navigation device, a camera outside the vehicle, a sensor outside the vehicle, etc. It is.

(Other embodiments)
In addition, the said embodiment can also be implemented with the following aspects.
-In above-mentioned embodiment, the case where the vehicle-mounted network was CAN was illustrated. However, the present invention is not limited to this, and the in-vehicle network may be Ethernet (registered trademark), FlexRay (registered trademark), IEEE 1394 (FireWire (registered trademark)) as long as the connected ECU or the like is communicably connected. ) And other networks. Moreover, CAN may be comprised and these networks may be combined and comprised. Thereby, the improvement of the freedom degree of a structure about the vehicle in which an operation assistance apparatus is used comes to be aimed at.

  In each of the above embodiments, the case where the navigation device 60 is used as the HMI is illustrated. However, the present invention is not limited to this, and a meter or other display device may be used as the HMI, or a portable information processing device such as a smartphone may be used. As a result, the degree of freedom in design of the operation support apparatus can be increased.

  In the above embodiment, when the driver information acquisition unit 20, the vehicle interior status acquisition unit 30, the vehicle status acquisition unit 40, the vehicle exterior status acquisition unit 50, the navigation device 60, and the selection processing unit 70 are configured as special information processing devices. It illustrated about. However, the present invention is not limited to this, and one or more of a driver information acquisition unit, an in-vehicle state acquisition unit, a vehicle state acquisition unit, an out-of-vehicle state acquisition unit, a navigation device, and a selection processing unit are included in one information processing device. Also good. Further, at least one of the driver information acquisition unit, the in-vehicle state acquisition unit, the vehicle state acquisition unit, the out-of-vehicle state acquisition unit, the navigation device, and the selection processing unit may be divided into a plurality of information processing devices. As a result, the degree of freedom in design of the operation support apparatus can be increased.

  -In above-mentioned embodiment, it illustrates about the case where the driver information acquisition part 20, the vehicle interior condition acquisition part 30, the vehicle state acquisition part 40, the vehicle exterior condition acquisition part 50, the navigation apparatus 60, and the selection process part 70 are mounted in the vehicle 10. did. However, the present invention is not limited thereto, and some functions such as a driver information acquisition unit, an in-vehicle state acquisition unit, a vehicle state acquisition unit, an out-of-vehicle state acquisition unit, a navigation device, and a selection processing unit are provided in an information processing device outside the vehicle. Or may be provided in a portable information processing apparatus. The information processing apparatus outside the vehicle includes an information processing center, and the portable information processing apparatus includes a mobile phone and a smartphone. In the case of an information processing apparatus outside the vehicle, information may be exchanged via a wireless communication line or the like. If it is a portable information processing apparatus, it may be connected to an in-vehicle network, may be connected by near field communication, or may exchange information via a wireless communication line. As a result, the degree of freedom in design of the operation support apparatus can be increased.

  In the above embodiment, the case where the skill level calculation information 72 is set in the manner shown in FIG. 2 is exemplified. However, the present invention is not limited to this, and the skill level calculation information may be in a mode different from that shown in FIG. 2 as long as the association between the driver's attribute points is appropriately created. Thereby, the improvement of the design freedom about an operation assistance apparatus comes to be aimed at.

  In the above embodiment, the skill level calculation information 72 is illustrated as a case where a graph that associates a driver attribute with a score is set. However, the present invention is not limited to this, and as long as the attribute of the driver can be associated with the score, the skill level calculation information may be set with a mathematical expression, map data, a threshold value for classification, and the like. Thereby, the improvement of the design freedom about an operation assistance apparatus comes to be aimed at.

  -In above-mentioned embodiment, it illustrated about the case where the 1st-3rd estimation rules 76-78 are provided. However, the present invention is not limited to this, and the estimation rule may be one or two groups or four or more groups as long as the function to be provided can be estimated. Moreover, you may classify based on classifications other than the condition of a vehicle. Thereby, the improvement of the design freedom about an operation assistance apparatus comes to be aimed at.

  -In each above-mentioned embodiment, as information about the occasional state of vehicle 10, information on the situation in the vehicle, information on the basis of vehicle state, and information on the basis of information outside the vehicle are acquired, and the situation of the vehicle It illustrated about the case where the function according to was estimated. However, the present invention is not limited to this, and at least one of information based on the in-vehicle situation, information based on the vehicle state, and information based on outside information may be acquired as information related to the state of the vehicle. Thereby, the applicability of the operation support apparatus can be expanded.

  In the above embodiment, the case where it is determined that the function having the largest weight is provided is illustrated. However, the present invention is not limited to this, and a function having a weighting level equal to or higher than a predetermined level may be provided. For example, when there are a plurality of functions of a predetermined level or higher, operation support for the plurality of functions may be provided. When there are a plurality of functions of a predetermined level or higher, it may be determined to preferentially provide a function having a large weight. On the other hand, when there is no function of a predetermined level or higher, operation support may not be provided. In other words, provision of operation support corresponding to a function with a low weight based on priority can be suppressed, and the driver's troublesomeness can be reduced. As a result, it is possible to provide operation support for functions at a level required by the driver.

  In the above embodiment, the case where the skill level is set as in the skill level determination list 711 is illustrated. However, the present invention is not limited to this, and the skill level may be divided by points different from those in FIG. As a result, the degree of freedom in design of the operation support apparatus can be improved.

  In the above embodiment, the case where the skill level of the driver is classified into three of “beginner”, “intermediate”, and “skilled” is illustrated. However, the present invention is not limited to this, and the skill level of the driver may be divided into two, four or more, or may be managed as a numerical value. As a result, the degree of freedom in designing the operation support apparatus can be improved.

  In the above-described embodiment, the case where the driver attribute information is age, driver classification, lifetime driving history, and vehicle driving distance is exemplified. However, the present invention is not limited to this, and the driver attribute information may include other attributes. At this time, if there is skill level calculation information that associates the attribute with the score, it can be scored and used to determine the skill level. As a result, the degree of freedom in designing the operation support apparatus can be improved.

  In the above-described embodiment, the estimated function is exemplified for the case where the weight is determined according to the in-vehicle situation, the vehicle state, and the out-of-vehicle situation which are the original information from which the function is estimated. However, the present invention is not limited to this, and the functions estimated according to the in-vehicle situation, the vehicle state, and the out-of-vehicle situation may be assigned weights regardless of the situation of the vehicle that is the original information. That is, weighting can be performed according to function. As a result, the degree of freedom in design of the operation support apparatus can be increased.

  In the above embodiment, the case where the weight levels are three levels of “small”, “medium”, and “large” is illustrated. However, the present invention is not limited to this, and the weight levels may be two or four or more, and may be indicated by numerical values, for example. As a result, the degree of freedom in designing the operation support apparatus can be improved.

  In the above-described embodiment, the case where it is determined that the function having the largest weight is provided based on the weight and the other functions are not provided (not provided) is illustrated. However, the present invention is not limited to this, and the functions may be provided in the order of the weights assigned to the functions. Thereby, the operation support device can provide more information to the driver.

  -In the above-mentioned embodiment, it illustrated about the case where the function to provide is selected based on the weight given to the estimated function. However, the present invention is not limited to this, and weighting may be applied to the vehicle situations such as the in-vehicle situation, the vehicle state, and the outside situation, and the function corresponding to the vehicle situation having a large weight may be estimated. As a result, the degree of freedom in design of the operation support apparatus can be increased.

  In each of the above embodiments, the case where the function mounted on the vehicle 10 is selected is illustrated. However, the present invention is not limited thereto, and the selected function may be a function that is processed by an apparatus other than the vehicle, for example, an information processing apparatus outside the vehicle or a portable information processing apparatus, and provided to the vehicle. Thereby, the design flexibility of the operation support apparatus can be improved and the application range can be expanded.

  -In above-mentioned embodiment, although illustrated about the case where an operator is a driver, not only this but an operator may be passengers other than a driver. Thereby, the application range of the operation support apparatus can be expanded.

  -In above-mentioned embodiment, it illustrated about the case where the operation assistance apparatus is used for the vehicle. However, the present invention is not limited to this, and the operation support device may be used for a moving body other than a vehicle, such as a ship or a robot. Thereby, the application range of the operation support apparatus can be expanded.

  DESCRIPTION OF SYMBOLS 10 ... Vehicle, 20 ... Driver information acquisition part, 21 ... Information selection part, 22 ... Driver information, 30 ... Car interior condition acquisition part, 31 ... Sleepiness detection part, 32 ... Passenger number detection part, 33 ... Voice recognition part, DESCRIPTION OF SYMBOLS 40 ... Vehicle state acquisition part, 41 ... Speed detection part, 42 ... Fuel detection part, 43 ... Preventive safety device, 44 ... Air conditioner, 50 ... Outside vehicle condition acquisition part, 51 ... Current position detection part, 52 ... Road condition detection part 53 ... Road information acquisition unit, 54 ... Destination information acquisition unit, 55 ... Weather detection unit, 60 ... Navigation device, 61 ... Location detection unit, 62 ... Map information, 63 ... Information selection unit, 64 ... Display device, 65 DESCRIPTION OF SYMBOLS ... Audio | voice output device, 70 ... Selection processing part, 71 ... Skill level calculation part, 72 ... Skill level calculation information, 73 ... Proposed function determination part, 74 ... Proposal operation provision part, 75 ... Function estimation part, 76 ... 1st Estimation rule, 77... Second estimation rule, 78. 3 of the estimation rule, 711 ... proficiency decision list, 731 ... weighted list.

Claims (10)

An operation support device that provides an operator with information for supporting various operations required for various devices of the vehicle,
An attribute information acquisition unit for acquiring attribute information unique to the operator;
A state information acquisition unit for acquiring information on the current state of the vehicle;
An estimation unit for estimating a function provided to the vehicle in response to an occasional state of the vehicle;
A determination unit that determines whether to provide or not provide the estimated function based on the attribute information;
An operation support apparatus comprising: a providing unit that provides the function determined to be provided by the determining unit in an aspect recognizable to the operator together with an operation required for a device that manages the function. The determination unit has a priority corresponding to the attribute information and the acquired state of the vehicle, and provides / not provides the estimated function by performing weighting based on the priority. The operation support apparatus according to claim 1, wherein a determination of provision is made. The determination unit has a priority corresponding to the function estimated by the estimation unit and the attribute information, and determines whether the estimated function is provided or not by performing weighting based on the priority. The operation support apparatus according to claim 1. The operation support apparatus according to claim 2, wherein the priority for the attribute information is determined based on the importance of each piece of information included in the attribute information. The operation support device according to claim 4, wherein the operator from which the attribute information is acquired is a driver of the vehicle. The operation support apparatus according to claim 5, wherein the importance is set according to a skill level of a driving operation performed by a driver of the vehicle. The operation support apparatus according to any one of claims 2 to 6, wherein the determination unit determines that a weighting based on the priority is provided for an estimated function having a predetermined level or more. The operation support apparatus according to any one of claims 2 to 7, wherein the determination unit determines that a larger weighted function is preferentially provided when there are a plurality of the estimated functions. 2. The status information acquisition unit acquires at least one of information based on in-vehicle status, information based on vehicle status, and information based on information outside the vehicle as information related to the current status of the vehicle. The operation assistance apparatus as described in any one of -8. An operation support method for providing an operator with information for supporting various operations required for various devices of the vehicle,
An attribute information acquisition step of acquiring attribute information unique to the operator;
A state information acquisition step of acquiring information on the state of the vehicle at that time;
An estimation step for estimating a function provided to the vehicle in response to the current state of the vehicle;
A determination step of determining whether the estimated function is provided or not based on the attribute information;
And a providing step of providing the function determined to be provided by the determining step together with an operation required for a device managing the function in a manner recognizable to the operator.

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