WO2011055743A1 - Dispositif de traitement d'information, dispositif embarqué dans un véhicule, système de traitement d'information, procédé de traitement d'information et support d'enregistrement - Google Patents

Dispositif de traitement d'information, dispositif embarqué dans un véhicule, système de traitement d'information, procédé de traitement d'information et support d'enregistrement Download PDF

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Publication number
WO2011055743A1
WO2011055743A1 PCT/JP2010/069593 JP2010069593W WO2011055743A1 WO 2011055743 A1 WO2011055743 A1 WO 2011055743A1 JP 2010069593 W JP2010069593 W JP 2010069593W WO 2011055743 A1 WO2011055743 A1 WO 2011055743A1
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WIPO (PCT)
Prior art keywords
information
vehicle
item
detection
point
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PCT/JP2010/069593
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English (en)
Japanese (ja)
Inventor
昇二 上岡
悠作 松田
由希 若林
数馬 藤原
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富士通テン株式会社
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Publication of WO2011055743A1 publication Critical patent/WO2011055743A1/fr

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/164—Centralised systems, e.g. external to vehicles

Definitions

  • the present invention relates to a technique for providing advice information according to a point where a vehicle travels.
  • a center equipped with a server device for maintaining the map as map data has been proposed. In this center, it is proposed to take statistics of dangerous spots, create a database, and notify the driver of the dangerous spots when the vehicle approaches the dangerous spots.
  • Japanese Patent Application Publication No. 2009-104531 proposes a technique for identifying a dangerous event by analyzing image information immediately before the occurrence of the dangerous event using an outside camera.
  • the notification given to the driver when the vehicle approaches the danger point after identifying the dangerous event is only notification to the driver of simple information such as pedestrian jumping out. It was unclear how to drive with care. Therefore, there has been a problem that even if a notification is given to the driver, a sufficient effect for avoiding danger is not exhibited.
  • the present invention has been made in view of the above problems, and an object of the present invention is to provide specific advice information according to a point where a vehicle travels.
  • the present invention can provide the following.
  • An information processing device that provides advice information according to a point where the vehicle travels to an in-vehicle device of the vehicle, Position information indicating a point of the vehicle when at least one of a plurality of sensors included in the vehicle detects a value equal to or higher than a reference value, and at least one detected by the at least one sensor among a plurality of detection items.
  • the advice selecting means includes First selection means for selecting one of the plurality of detection items as a representative detection item; Second selection means for selecting at least one type of the state information related to the representative detection item from the plurality of types of state information; Third selection means for selecting, as a representative state item, one type satisfying a predetermined condition among at least one type of state information selected by the second selection unit; A fourth selection means for selecting the advice information based on the representative detection item and the representative state item;
  • the fourth selection means includes Based on the representative detection item, identify a danger type indicating a dangerous state of the vehicle that is likely to occur at the point, Based on the representative state item, identify a risk event indicating an event peculiar to the point, and a risk factor indicating a factor causing danger to the vehicle at the point, An information processing apparatus, wherein the advice information is selected based on the risk type, the risk event, and the risk factor.
  • the first selection means selects the representative detection item according to the priority set according to the degree of risk.
  • a vehicle-mounted device comprising:
  • An information processing method for providing advice information corresponding to a point where the vehicle travels to an in-vehicle device of the vehicle Indicates at least one of a plurality of detection items detected by the at least one sensor, and position information indicating the position of the vehicle when at least one of the plurality of sensors included in the vehicle detects a value equal to or greater than a reference value.
  • the advice information is selected based on the representative detection item and the representative state item, so that specific advice information for avoiding danger according to the point where the vehicle travels. Can provide.
  • the risk type, risk event, and risk factor are specified, and advice information is selected based on the risk type, risk event, and risk factor. Specific advice information can be provided.
  • the representative detection item is selected according to the priority set according to the degree of risk. By doing so, it is possible to select more important advice information for the driver.
  • the advice information generated by the information processing device is acquired and the advice information is notified to the user, so that the latest advice information can always be provided to the user in the in-vehicle device.
  • FIG. 1 is a diagram illustrating an overview of an information processing system that provides danger information to a vehicle.
  • FIG. 2 is a diagram illustrating an example of vehicle information.
  • FIG. 3 is a block diagram of the danger information notification system.
  • FIG. 4 is a diagram illustrating an example of the integrated DB.
  • FIG. 5 is a diagram illustrating an example of the danger information map DB.
  • FIG. 6 is a diagram illustrating an example of risk information analysis data.
  • FIG. 7 is a diagram illustrating an example of the driver notification DB.
  • FIG. 8 is a diagram illustrating an example of the advice map DB.
  • FIG. 9 is a flowchart showing a process of transmitting vehicle information detected by the vehicle to the center.
  • FIG. 10 is a flowchart showing the risk information analysis process.
  • FIG. 11 is a flowchart showing a notification process to the driver.
  • DB database
  • FIG. 1 is a diagram showing an overview of an information processing system 10 that provides danger information to a vehicle.
  • the information processing system 10 includes an in-vehicle device mounted on the vehicle 1 and an information processing device (hereinafter referred to as “center”) 31 configured as a server device disposed in a predetermined center.
  • a vehicle 1 such as a truck, a passenger car, or a taxi communicates with the center 31 via a communication unit (to be described later) of the navigation device 11.
  • the vehicle 1 includes a navigation device 11 that is an in-vehicle device that displays vehicle position information and route information to a destination, a drive recorder device 21 that records image information from a camera (not shown), and various sensors described below. It has.
  • the image information includes both still images and moving images, and may include sound or the like depending on circumstances.
  • the navigation device 11 is not limited to display functions such as position information of the vehicle 1 and route information to the destination, but also has functions such as audio reproduction, DTV (Digital Television) reproduction, and recording.
  • DTV Digital Television
  • the navigation device 11 transmits vehicle information including various information acquired when the drive recorder device 21 and various sensors detect a reference value or more to the center 31, and the center 31 transmits the vehicle information transmitted by the navigation device 11. Receive.
  • FIG. 2 is a diagram illustrating an example of the vehicle information.
  • the vehicle information includes a vehicle user ID, position information, trigger information, direction indicator information, vehicle speed information, image information, and the like.
  • Information other than the user ID, position information, and trigger information included in the vehicle information indicates the state of the vehicle or the vehicle periphery when the sensor detects it It can be said that it is information.
  • the user ID is a number for each vehicle or a number for each driver who is a user, and is recorded in a user management DB described later.
  • the position information is longitude and latitude information, and is recorded in a map DB described later.
  • the position information indicates the latitude and longitude of the vehicle point when the drive recorder device 21 and various sensors detect a reference value or more when the position information is detected.
  • Trigger information is detection information indicating the detected content when the drive recorder device 21 and various sensors detect a reference value or more.
  • the line-of-sight direction information is information detected by a line-of-sight sensor, which will be described later, and is information on the line-of-sight direction of the driver during driving.
  • the direction indicator is information on the right direction or the left direction indicated by the direction indicator when the vehicle turns right or left, and the vehicle speed is information detected by a speed sensor described later.
  • the image information is photographing information from a camera provided in the vehicle, and a camera that captures an image to be recorded in the drive recorder device 21 may be used, or another camera (for example, a camera that captures the periphery of the vehicle) is used. May be.
  • Such vehicle information is transmitted from the navigation device 11 to the center 31 by wireless communication.
  • the center 31 records vehicle information in a statistical DB described later. Then, the center 31 analyzes a risk event and a risk factor for each risk point described later from the information recorded in the statistics DB. Further, the center 31 selects advice information corresponding to the dangerous point to be notified to the driver from the driver notification DB described later based on the analysis result of these dangerous events and risk factors, and an advice map DB described later. To record.
  • This advice map DB is provided from the center 31 to the navigation device 11 and stored in a storage device inside the navigation device 11. Thereby, the navigation device 11 uses the data recorded in the advice map DB when the vehicle 1 approaches the danger point (for example, when the vehicle 1 is located at a position 100 m away from the danger point). The driver can be notified of specific advice information for avoiding danger.
  • FIG. 3 is a block diagram of the information processing system 10.
  • the information processing system 10 includes a navigation device 11 and an information detection device provided in the vehicle 1, and a center 31 that is a server device.
  • the information detection device includes a drive recorder device 21, a speed sensor 22, a steering sensor 23, a line-of-sight sensor 24, a direction indicator 25, and the like.
  • the drive recorder device 21 When the drive recorder device 21 detects a G value exceeding a predetermined threshold, it stores the image information in a memory (not shown).
  • the acceleration value is a value obtained by converting the gravitational acceleration into a basic unit of 1G and converting the change amount of the acceleration into the basic unit.
  • this acceleration information exceeds a threshold value of 0.5 G
  • the image information for a total of 20 seconds before and after the point at which a G value exceeding a predetermined threshold is detected among the image information that is constantly recorded is stored in a storage medium such as a memory card. To record. And the information which detected G value exceeding this predetermined threshold value is transmitted to the control part 12 of the navigation apparatus 11 mentioned later.
  • Information indicating that the drive recorder device 21 has detected becomes G detection of a statistical DB, which will be described later, and trigger information indicating a sharp handle.
  • the speed sensor 22 detects the speed of the vehicle 1 and transmits information to the control unit 12. For example, if there is a rapid acceleration of 10 km / h or more per second by the speed sensor 22 or a rapid deceleration, information indicating the detection is abrupt deceleration or rapid acceleration in a statistical DB to be described later. Trigger information indicating
  • the steering sensor 23 detects the rotational angular velocity of the steering and transmits information to the control unit 12.
  • the information indicating that the steering sensor 23 is detected becomes trigger information indicating a sudden handle of a statistical DB described later.
  • the line-of-sight sensor 24 captures the driver's face and transmits information to the control unit 12. Note that the control unit 12 performs image analysis of a driver's eye portion of the photographed image using an image analysis device (not shown) to detect the line-of-sight direction of the driver.
  • the direction indicator 25 transmits a signal for making a right turn or a left turn to the control unit 12 by the operation of the driver.
  • the navigation device 11 of the vehicle 1 includes a control unit 12, a data storage unit 13, an audio output unit 14, a display unit 15, a position detection unit 16, and a communication unit 17, and the communication unit 17 is connected to the communication unit 34 of the center 31.
  • Vehicle information is sent and received wirelessly or by wire.
  • the control unit 12 of the navigation device 11 transmits vehicle information including information detected by an information detection device such as the drive recorder device 21, the speed sensor 22, the steering sensor 23, the line-of-sight sensor 24, and the direction indicator 25 to the communication unit 17 and 34 to the control unit 32 of the center 31.
  • an information detection device such as the drive recorder device 21, the speed sensor 22, the steering sensor 23, the line-of-sight sensor 24, and the direction indicator 25 to the communication unit 17 and 34 to the control unit 32 of the center 31.
  • the center 31 is composed of a general computer equipped with a CPU, RAM, ROM, hard disk and the like.
  • a function as the control unit 32 of the center 31 is realized by performing arithmetic processing according to the program 33g stored in the data storage unit 33 configured as a hard disk.
  • the control unit 32 of the center 31 functions as an acquisition unit of the present invention, and receives vehicle information via the communication unit 34.
  • the control unit 32 records the received vehicle information in the data storage unit 33 configured as a hard disk.
  • the data storage unit 33 functions as a storage unit of the present invention, and includes a statistics DB 33a, a danger information map DB 33b, a driver notification DB 33c, a user management DB 33d, a map DB 33e, an external information DB 33f, and an advice map DB 33h.
  • a statistics DB 33a a statistics DB 33a
  • a danger information map DB 33b a danger information map DB 33b
  • a driver notification DB 33c a driver notification DB 33c
  • a user management DB 33d a map DB 33e
  • an external information DB 33f an external information DB 33f
  • advice map DB 33h an advice map DB
  • FIG. 4 is a diagram illustrating an example of the statistics DB 33a.
  • the statistics DB 33a is configured based on vehicle information acquired from a plurality of vehicles 1, and trigger information and a plurality of types of state information (“location”, “Line-of-sight direction”, “direction indicator”, “vehicle speed”, and “image analysis result”) are stored in association with each other.
  • the statistics DB 33a has a plurality of items for each of the information types of “trigger information”, “location”, “line-of-sight direction”, “direction indicator”, “vehicle speed”, and “image analysis result”. Yes.
  • “trigger information” information type “G detection (collision detection)”, “rapid deceleration”, “rapid acceleration”, “steep steering” items, and “location” information types are “steep curve”. ”,“ Steep slope ”,“ 3D intersection ”,“ Temporary stop ”, etc., and“ Gaze direction ”information type,“ Right front direction ”,“ Left front direction ”, and“ Front ”items There are each.
  • the statistics DB 33a records the number of detections for each point on the map for each item according to these information types. If the number of detections of the “trigger information” item exceeds the predetermined number of detections, the item of the trigger information is set as the representative detection item, and a part of the state information related to the representative detection item Is selected by the control unit 32.
  • Each item of trigger information and the type of state information are associated in advance with a table or the like, and the type of state information is selected by the control unit 32 based on the representative detection item according to this association. In addition, this association is performed based on a relationship in which danger information can be analyzed in more detail depending on the type of state information corresponding to each item of trigger information.
  • the item is selected as a representative state item by the control unit 32 and used as risk information analysis data described later.
  • a predetermined condition is satisfied with respect to the number of detection times of each item of state information, when the number of detection times of an item of state information having relevance to predetermined trigger information exceeds a predetermined number or a predetermined ratio, or This is a case where the number of detections is less than a predetermined ratio.
  • the shaded items are items whose detection count satisfies a predetermined condition.
  • a predetermined condition For example, at point A, in each item of “trigger information”, “G detection” is detected 4 times, “sudden deceleration” is 10 times, “sudden acceleration” is 0 times, and “sudden steering wheel” is 99 times. Yes. Of these, 99 of the “steep handle” exceeds the predetermined number (for example, the case where the number of detections is 50 times or more, or the case where the number of detections of “trigger information” is 80% or more is satisfied. Therefore, for the “trigger information” at point A, the item “steep handle” is used for the risk information analysis as the representative detection item.
  • the number of detections of the two items “G detection” and “rapid deceleration” as the “trigger information” items exceeds a predetermined number (for example, the case where the number of detections is 50 times or more is predetermined).
  • Both items are items that can be subject to risk information analysis.
  • a predetermined number for example, the case where the number of detections is 50 times or more is predetermined.
  • G detection which may have caused the vehicle to collide with an obstacle
  • rapid deceleration is a higher risk item than “rapid deceleration” that may have caused the vehicle to stop suddenly.
  • Is used for risk information analysis information with a higher degree of risk for the driver can be used for the risk information analysis, and this is an element for selecting advice information to be notified to the driver of information with a higher degree of importance.
  • each item of other state information satisfies the predetermined condition, the item is used as a representative state item for risk information analysis. Further, for example, when the number of detections of a plurality of items such as “vehicle speed” satisfies a predetermined condition, these two or more items are used for risk information analysis. Thus, a plurality of information based on one piece of information of “trigger information” can be used as data for risk information analysis, and advice information including more specific risk factor information for the driver can be generated.
  • the number of times of detection is lower than a predetermined ratio
  • the case where the number of detections satisfies a predetermined condition is assumed to be 50% or less of the total number of detections of the representative detection item (in this example, the item “G detection”).
  • an item that is 50% or less of the total number of times of “G detection” in each item of “line of sight” is “front left direction”.
  • the risk information analysis process including the use of the item of “Gaze direction” for the risk information analysis for the “G detection” item of the “trigger information” will be described later.
  • the statistical data collected in the statistical DB 33a collected from each vehicle is data for generating danger information to be notified to the driver.
  • advice information including a specific cause of danger can be selected.
  • the predetermined condition for selecting the representative state item is the type of state information related to the item (representative detection item) when the number of detections of any item in the trigger information satisfies the predetermined condition.
  • the item of the status information type satisfies a predetermined condition.
  • the representative detection item and the representative state item are used for risk information analysis.
  • the representative detection item of “trigger information” at point A is “steep steering wheel”, and the types of state information related to this “steep steering wheel” item are “location”, “vehicle speed”, and “image analysis result” ”.
  • the number of detections of the item “location” is “steep curve”
  • the item “vehicle speed” is “legal speed + 20 km / h”
  • the item “legal speed + 30 km / h” exceeds the predetermined number.
  • the number of detections of shaded items exceeds the predetermined number.
  • the number of detections does not exceed a predetermined number. For this reason, at the point A, items satisfying predetermined conditions of “location” and “vehicle speed” are used in the risk information analysis as representative state items.
  • the representative detection item of “trigger information” at point B is an item of “rapid deceleration”, and types of state information related to the item of “rapid deceleration” are “location”, “vehicle speed”, and “image” There are three types of “analysis results”.
  • “location” (“temporary stop point”), “vehicle speed” (“statutory speed + 10 km / h”, “legal speed + 20 km / h”), and “image analysis result”
  • There is an item in which the number of detections satisfies a predetermined condition (the shaded item satisfies a predetermined condition). Therefore, an item that satisfies the predetermined condition of the state information is used as a representative state item in the risk information analysis.
  • the “trigger information” at point C is the item “G detection” as the representative detection item, and the types of state information related to this “G detection” item are “direction of line of sight”, “vehicle speed”, and “ There are three types of “image analysis results”.
  • the number of detections of the “sight line direction” (“front left front”) of the three types of state information is less than a predetermined ratio, and “vehicle speed” (“statutory speed + 20 km / h”, “legal speed + 30 km / h”).
  • each item of “trigger information” may be associated with a type of state information different from that described above.
  • state information related to the item “G detection” a combination of two types of state information “line-of-sight direction” and “image analysis result” may be used, or “line-of-sight direction”, “direction indicator”, Also, a combination of three types of state information “image analysis result” may be used. It is desirable that at least two types of state information are associated with each item of “trigger information”.
  • the type of the related state information is selected from the various state information, and the predetermined condition is satisfied in the related state information. If there is an item, the item is used for risk information analysis. As a result of the analysis, a danger information map DB 33b is generated. Therefore, it is possible to select advice information including more specific risk factor information for the driver.
  • FIG. 5 is a diagram illustrating an example of the danger information map DB 33b.
  • danger information is recorded in association with a plurality of danger points.
  • Specific items of the danger information recorded in the danger information map DB 33b are “danger type”, “position information (latitude and longitude)”, “link ID”, “danger event”, and “risk factor”.
  • “Danger type” is information indicating a dangerous state of the vehicle that is likely to occur at the danger point, for example, “a sudden steering frequent occurrence point”, “abrupt brake frequent occurrence point”, “traffic accident frequent occurrence point”, etc. .
  • the “link ID” is information including location information of the dangerous point such as a road width, a gradient, and the number of lanes.
  • the “dangerous event” is information indicating an event peculiar to the dangerous point
  • the “dangerous factor” is information indicating a factor that causes the vehicle at the dangerous point.
  • FIG. 6 is a diagram showing an example of risk information analysis data obtained by such analysis.
  • three contents of “danger type”, “dangerous event”, and “dangerous factor” are specified at each of the three points of A point, B point, and C point.
  • the information of the representative detection item of “trigger information” is “there are many sharp handles”
  • the information of the representative state item of “location” is “steep curve point”
  • the information of the representative state item of “vehicle speed” is “The legal speed is often greatly exceeded.”
  • the “risk type” is determined as “a sudden handle frequent occurrence point” as an analysis result.
  • the “dangerous event” is analyzed as “a sharp curve”
  • the “dangerous factor” is analyzed as “too fast despite the sudden curve”.
  • the information of the representative detection item of “trigger information” is “a lot of sudden braking”
  • the information of the representative state item of “location” is “temporary stop point”
  • the information of the representative state item of “vehicle speed” is “stop”
  • the information of the representative state item of “not often done” and “image analysis result” is “the sign is often difficult to see”.
  • the “risk type” is determined as “a sudden braking frequent occurrence point” as an analysis result. .
  • “dangerous event” is analyzed as “temporary non-stop”
  • “dangerous factor” is analyzed as “hard to see a stop sign”.
  • the information of the representative detection item of “trigger information” is “many G detection”
  • the information of the representative state item of “line of sight” is “low left front”
  • the information of the representative state item of “vehicle speed” is The information on the representative state items of “the legal speed is often greatly exceeded” and “the image analysis result” are “there is often a pedestrian in front of the left”.
  • the “risk type” is determined as “a sudden braking frequent occurrence point” as an analysis result.
  • “dangerous event” is analyzed as “pedestrian jumping out”
  • “dangerous factor” is “due to jumping out from the left front, although attention is not directed to the left front, too fast. Is analyzed.
  • the information of the representative detection item of “trigger information” is “G detection”
  • the information of the representative state item of “line-of-sight direction” is “little left front”
  • the information of the representative state item of “image analysis result” is “left”
  • the risk type is determined to be “a traffic accident frequent occurrence point” as an analysis result from these pieces of information.
  • the “danger event” is analyzed as “pedestrian jumping out”
  • the “risk factor” is analyzed as “not paying attention to the left front even though there are many jumps out from the left front”.
  • the information of the representative detection item of “trigger information” is “G detection”
  • the information of the representative state item of “line-of-sight direction” is “little left front”
  • the information of the representative state item of “direction indicator” is “ If the information of the representative state item of “Lastly lit left” or “Image analysis result” is “There are many motorcycles on the side”, the analysis result from these information is “Danger class” Point.
  • the “dangerous event” is analyzed as “motorcycle entrainment”
  • the “risk factor” is analyzed as “the motorcycle is overtaking from the left side when turning left”.
  • the driver notification DB 33c is used to select advice information, and records advice information to be described later for each risk point in association with the risk type, risk event, and risk factor contents of the risk information map DB 33b.
  • FIG. 7 shows an example of the driver notification DB 33c.
  • risk event 1 for example, “steep curve”
  • risk factor a for example, “speed is too high despite a sudden curve”
  • advice 1 corresponding to these risk types, risk events, and risk factors for example, “This is a point where frequent sharp steering occurs due to a sharp curve. Enter the curve at a speed of 30 km / h. )
  • the risk type is the point where the sharp handle is frequently generated
  • the risk event is 1, and the risk factor is a. Therefore, the advice 1 is selected as the advice information to be notified to the driver.
  • the danger type is a sudden braking frequent occurrence point and the data of dangerous event 2 (for example, “temporary non-stop”) and risk factor b (for example, “it is difficult to see a temporary non-stop sign”)
  • the data of advice 2 corresponding to the risk type, risk event, and risk factor (for example, "This is a temporary stop point. It is difficult to see the stop sign. Please be careful.") Is selected.
  • the risk type is the point where the sharp handle is frequently generated, the risk event is 2, and the risk factor is b. Therefore, the advice 2 is selected as advice information to be notified to the driver.
  • the dangerous event is a traffic accident frequent occurrence point
  • the dangerous event 3 for example, “pedestrian jumping out”
  • the risk factor c for example, “notice the left front in spite of many popping out from the left front) ”Is not suitable, and the speed is too high
  • advice 3 corresponding to the risk type, risk event, and risk factor (for example, “Future traffic accidents due to pedestrian jumps ahead” Reduce the speed to 30 km / h and watch out for jumping out of the blind spot in the left direction. ”) Data is selected.
  • the risk type is a frequent traffic accident point
  • the risk event is 3
  • the risk factor is c
  • advice 3 is selected as advice information to be notified to the driver.
  • FIG. 8 is a diagram showing an example of the advice map DB 33h.
  • the advice map DB 33h includes information related to the dangerous point of the risk information map DB 33b described above (for example, the position information of the dangerous point, the risk type, the dangerous event, and the risk factor) and the advice information of the driver notification DB 33c. It is a DB in which advice information selected for each dangerous point is recorded in association with each other.
  • advice information records advice information for each danger point selected in association with the danger information map DB 33b and the driver notification DB 33c. For example, information such as “advice 1” at point A, “advice 2” at point B, and “advice 3” at point C is recorded.
  • the information recorded in the advice map DB 33h of the center 31 is stored in the advice map DB 13h stored in the data storage unit 13 of the navigation device 11 by the processing of the control unit 12 via the communication unit 34 and the communication unit 17. To be recorded.
  • the driver who is approaching the dangerous point is notified based on the advice information recorded in the advice map DB 13h, so that the driver can take a more specific driving action for avoiding the danger.
  • information about users who use various vehicles is recorded. For example, information on a plurality of users, such as each vehicle number used by a plurality of users and the number of a driver who is a user, is recorded.
  • the map DB 33e records road data, facility data, and the like, and provides position information when generating data of the danger information map DB 33b.
  • the external DB 33f acquires and records weather information and time information that are information outside the vehicle.
  • the data of the user management DB 33d of the data storage unit 33 of the center 31 and the map DB 33e are transmitted to the navigation device 11 via the communication unit 34.
  • data of various DBs is received via the communication unit 17, and is recorded as a user management DB 13 d and a map DB 13 e of the data storage unit 13 by processing of the control unit 12.
  • data corresponding to the user of the vehicle 1 having the navigation device 11 among the data in the user management DB 33d of the center 31 is transmitted as the data in the user management DB 13d.
  • this map DB 13e is used.
  • the data in the user management DB 13d, the map DB 13e, and the advice map DB 13h may be updated by an update process at a predetermined cycle from the center 31 or may be updated in response to an update request from the navigation device 11. You may go.
  • control unit 12 of the navigation device 11 determines that the vehicle 1 is approaching the danger point from the information in the map DB 13e stored in the data storage unit 13 and the advice map DB 13h, it is recorded in the advice map DB 13h.
  • the advice information corresponding to the dangerous point is notified to the driver by the voice output unit 14 and the display unit 15 described later, and functions as a notification means in the present invention. Further, the control unit 12 processes various programs for controlling the navigation device 11.
  • the voice output unit 14 performs driver notification, voice guidance for destination setting and vehicle travel to the destination, and voice output for audio and DTV playback.
  • the display unit 15 performs driver notification, image guidance for destination setting and vehicle travel to the destination, and image output during DTV playback.
  • the position detection unit 16 includes a GPS receiver (not shown), a gyro sensor, and the like, and outputs their output signals to the control unit 12 as signals for indicating the position information of the vehicle 1 and the traveling direction.
  • FIG. 9 is a flowchart showing a process of transmitting vehicle information detected by the vehicle 1 to the center 31.
  • the navigation device 11 of the vehicle 1 reads user information such as a user ID from the user management DB 13d when the information detection device such as the drive recorder device 21 detects predetermined detection information as trigger information (Yes in step S901) (step S901). S902). If the information detection device has not detected the predetermined information serving as trigger information (No in step S901), the process ends.
  • vehicle information including trigger information and user information detected by the information detection device is transmitted to the center 31 (step S903).
  • the center 31 receives the vehicle information transmitted from the navigation device 11 (step S904).
  • step S906 When the received vehicle information includes image information (step S905 is Yes), the center 31 performs image analysis (step S906).
  • image analysis As a result of image analysis, the pedestrian jumps from the left side of the screen, the sign is difficult to distinguish (for example, hidden behind a tree branch), and there is an obstacle (for example, a two-wheeled vehicle) on the left side of the vehicle when making a left turn. It is possible to analyze the situation where there is an obstacle (for example, a guardrail) in front of the direction. If there is no image information (No in step S905), the process proceeds to step S907 described later.
  • step S907 If there is analyzed image information, a part of vehicle information data including the image information is recorded in the statistics DB 33a (step S907).
  • the processing load and recording capacity of the navigation device 11 of the vehicle 1 can be reduced.
  • FIG. 10 is a flowchart showing a process for analyzing the danger information in the center 31.
  • the control unit 32 of the center 31 reads the statistical DB 33a in the data storage unit 33 (step S1001).
  • the control unit 32 determines the risk type based on the read statistics DB 33a (step S1002). Specifically, for each point in the statistics DB 33a, when the number of detections for the item “trigger information” exceeds a predetermined number, the item for the trigger information is set as a representative detection item. Then, the content of the representative detection item is used for the risk type determination to determine the risk type (function as the first selection means in the present invention).
  • Step S1003 the location, line-of-sight direction, direction indicator, vehicle speed, and other information types related to the trigger information are selected from the information types of image analysis results. Specifically, a part of the state information related to the representative detection item is selected by the control unit 32 (function as the second selection unit in the present invention). When each selected item of the state information satisfies a predetermined criterion, the item is selected as a representative state item by the control unit 32 (function as the third selection unit in the present invention), and these representative detections are performed. Based on the information of the item and the representative state item, the analysis of the dangerous event and the risk factor are performed (step S1004).
  • the risk information corresponding to the risk event and the risk factor is recorded in the risk information map DB 33b together with the longitude and latitude position information corresponding to the risk factor and the link ID indicating the road state (step S1005).
  • advice information corresponding to the danger information for each danger point recorded in the above-described danger information map DB 33b is selected from a plurality of advice information recorded in the driver notification DB 33c (fourth selection means in the present invention). And the advice information for each dangerous point is recorded in the advice map DB 33h.
  • FIG. 11 is a flowchart relating to a process of notifying the driver of advice information recorded in the advice map DB 13h in the navigation device 11.
  • the control unit 12 functions as an advice selection unit in the present invention, and the corresponding data is selected from the data in the advice map DB 13h.
  • the advice information of the dangerous point to be selected is selected (step S1102).
  • step S1103 the selected advice information is output from the voice output unit 14 and the display unit 15 and notified to the driver.
  • step S1101 when not approaching a danger point (step S1101 is No), it repeats a process.

Abstract

Selon l'invention, des emplacements auxquels des états de danger ont été détectés par des détecteurs, des éléments détectés, et les états de véhicules ou entourant ceux-ci au moment de la détection, sont stockés en association les uns avec les autres. Un élément détecté est sélectionné sous la forme d'élément détecté représentatif parmi de multiples éléments détectés, au moins un type d'état associé à l'élément détecté représentatif est sélectionné parmi de multiples types d'états, et, parmi les types d'états sélectionnés, un état satisfaisant à une condition prédéterminée est sélectionné comme élément d'état représentatif. Une information de consultation pour un emplacement stocké est sélectionnée en fonction de l'élément détecté représentatif et de l'élément d'état représentatif, et, par conséquent, une information de consultation d'évitement de danger spécifique pour le conducteur peut être sélectionnée.
PCT/JP2010/069593 2009-11-06 2010-11-04 Dispositif de traitement d'information, dispositif embarqué dans un véhicule, système de traitement d'information, procédé de traitement d'information et support d'enregistrement WO2011055743A1 (fr)

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