JP2010095188A - Vehicle theft determination device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a vehicle theft determination device capable of more quickly determining whether or not a driver is a regular driver at high accuracy without being noticed by the driver performing driving at present. <P>SOLUTION: The vehicle theft determination device 100 includes: a load information obtaining means 10 for obtaining load information regarding load received by support members 20-22 for supporting a body of the driver; a regular driver determination means 12 for determining whether or not the driver is the regular driver by comparing the load information detected by the load information obtaining means 10 with the load information corresponding to the previously registered regular driver; and a theft informing means 13 for informing of encountering to theft when it is determined that the driver is not the regular driver by the regular driver determination means 12. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an apparatus for determining whether or not a vehicle has been stolen, and in particular, the vehicle encounters theft by determining whether or not the driver currently driving is a regular driver. The present invention relates to an apparatus for determining whether or not the operation is performed.

  Conventionally, even when the vehicle is used with a regular key, based on the habit of the operator such as the order in which the operation of closing the vehicle door, the operation of wearing the seat belt, and the operation of starting the engine is performed A vehicle antitheft device that determines whether or not the driver is an authorized user is known (see, for example, Patent Document 1).

  This vehicle anti-theft device detects how to hold the steering wheel and shift lever, how to use the accelerator accelerator and brake pedal, how to handle the steering wheel when turning left and right, etc. as a driver's bag.

  There is also known an in-vehicle operation device that identifies an individual by comparing a weight measured with a weight scale and a weight registered in advance in a weight database (see, for example, Patent Document 2).

Further, there is known a personal authentication system that authenticates whether or not a driver who has boarded a vehicle is a legitimate user by using seat belt wearing characteristics (see, for example, Patent Document 3).
JP 2006-199192 A Japanese Patent Laid-Open No. 2004-239661 JP 2007-326539 A

  However, the vehicle antitheft device described in Patent Document 1 requires a long period of time (for example, 30 days) to identify a regular user's kite, and identifies the driver's kite that is actually driving the vehicle. There is a problem that it takes a long time to do. This is because the driver's habit is likely to change depending on the situation. If the driver's habit is specified without taking too much time, misjudgment will increase. The accuracy is not always improved.

  The in-vehicle operation device described in Patent Document 2 and the identity authentication system described in Patent Document 3 both require a short time for determination, but the driver's weight or seat belt wearing characteristics vary greatly from driver to driver. Since it is neither a thing nor a large discriminating power, even if it takes a long time to make a judgment, the judgment accuracy does not increase, and an allowable range of weight for judging that it is a regular user or a tolerance of seat belt wearing characteristics If the range is narrow, the misjudgment increases. On the other hand, if the allowable range is wide, there is a problem that most drivers are misjudged as being regular users.

  In view of the above-described points, the present invention is a vehicle capable of more quickly and accurately determining whether or not the driver is a regular driver without being noticed by the driver who is actually driving. An object is to provide a theft determination device.

  In order to achieve the above object, a vehicle theft determination device according to a first aspect of the present invention includes a load information acquisition unit that acquires load information related to a load received by a support member that supports a driver's body, and the load information acquisition unit. Normal driver determination means for comparing the load information detected by the driver with load information corresponding to a normal driver registered in advance to determine whether or not the driver is a normal driver, and the normal driver determination means And a theft notifying means for notifying that a theft has been encountered when it is determined that the driver is not a regular driver.

  Moreover, 2nd invention is the vehicle theft determination apparatus which concerns on 1st invention, Comprising: The said support member contains a sheet | seat, a backrest, or a headrest, It is characterized by the above-mentioned.

  By the means described above, the present invention is a vehicle theft determination device that can determine whether or not the driver is a regular driver more quickly and accurately without being noticed by the driver who is actually driving. Can be provided.

  Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings.

  FIG. 1 is a block diagram illustrating a configuration example of a vehicle theft determination device according to the present invention. A vehicle theft determination device 100 is an in-vehicle device for determining whether or not a vehicle has been stolen. The unit 1 includes a seat load sensor 2, a backrest load sensor 3, a headrest load sensor 4, a driving operation information detection unit 5, a storage unit 6, and a communication unit 7.

  The control unit 1 is a computer including a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like. For example, the load information acquisition unit 10, the driving operation information acquisition unit 11, While storing programs corresponding to the driver determination means 12 and theft notification means 13 in the ROM, outputs from the seat load sensor 2, the backrest load sensor 3, the headrest load sensor 4, and the driving operation information detection unit 5 are output. The processing corresponding to each means is performed with reference to the load database 60 (hereinafter referred to as “load DB 60”) and the driving operation database 61 (hereinafter referred to as “driving operation DB 61”) in the storage unit 6. The CPU executes the control and outputs a control signal to the communication unit 7.

  The seat load sensor 2, the backrest load sensor 3, and the headrest load sensor 4 are sensors for detecting the load that the seat, the backrest, and the headrest that support the body of the driver sitting on the driver's seat, A sensor using any of detection methods such as a strain gauge type, a piezoelectric type, a capacitance type, an electromagnetic type, and a tuning fork type may be used. As shown in FIG. 2, the surface of the seat 20, the backrest 21, and the headrest 22. Placed in.

  The driving operation information detection unit 5 is a device for detecting information relating to driving operation (hereinafter referred to as “driving operation information”). For example, an accelerator pedal depression amount sensor, a brake pedal depression amount sensor, and a steering angle sensor. Etc.

  The storage unit 6 is a device for storing various types of information. For example, the storage unit 6 is a storage medium such as a hard disk or a DVD (Digital Versatile Disk), and stores a load DB 60 and a driving operation DB 61.

  The load DB 60 is a database for systematically storing information related to loads (hereinafter referred to as “load information”). For example, the load distribution on the seat 20 (load isobaric diagram), the load on the backrest 21 Distribution, load distribution on the headrest 22, intersciatic distance, maximum load at the sciatic position, interscapular distance, scapular position height, maximum load at the scapular position, occipital position, weight estimated from various load distributions The thigh thickness, buttocks size, etc. are stored for each driver.

  The driving operation DB 61 is a database for systematically storing driving operation information. For example, the driving operation DB 61 is acquired via a depression speed, a depression amount, or a depression timing (for example, an in-vehicle GPS (Global Positioning System)) of an accelerator pedal or a brake pedal. Or a statistical value of various data such as a steering speed or a steering amount of the steering wheel (which means a maximum value, a minimum value, an average value, etc.) is stored.

  The communication unit 7 is a device for controlling communication with the outside, and transmits theft information using, for example, a mobile phone frequency or a specific low power radio frequency.

  Next, various units included in the control unit 1 will be described.

  The load information acquisition unit 10 is a unit for acquiring load information. For example, a load distribution received by the seat 20 based on the output of the seat load sensor 2, the backrest load sensor 3, or the headrest load sensor 4, The distribution of the load received by the backrest 21 and the distribution of the load received by the headrest 22 are acquired, and the pattern of each load isobaric diagram is recorded in the load DB 60.

  Note that the pattern of the load isobaric diagram may be a pattern at a specific timing (for example, when starting, decelerating, etc.). The seat load sensor 2, the backrest load sensor 3, or the headrest load sensor 4 The pattern may be updated (for example, averaged in time series) based on the load data that is continuously output.

  Also, the load information acquisition means 10 is based on the outputs of the seat load sensor 2, the backrest load sensor 3, and the headrest load sensor 4 to determine the inter-sciatic distance, the maximum load at the sciatic position, the inter-scapular distance, and the scapular position. Height, maximum load at scapula position, occipital position, driver's weight (e.g., estimated by adding all loads detected by seat load sensor 2, backrest load sensor 3, and headrest load sensor 4) Etc.) and the calculated value may be recorded in the load DB 60.

  The driving operation information acquisition unit 11 is a unit for acquiring driving operation information. For example, based on the output of the driving operation information detection unit 5, the accelerator pedal at the time of start and the depression speed of the brake pedal at the time of deceleration The amount or stepping timing or the steering speed or the steering amount of the steering wheel is acquired, and the driving operation DB 61 is updated with the acquired data.

  Further, the driving operation information acquisition means 11 is based on the steering angle, the accelerator depression amount, or the brake depression amount, etc., in the driving state (straight forward state, right curve state, left curve state, right turn state, left turn state, acceleration state, deceleration state). Etc.) and the estimated driving state and the weight information acquired by the weight information acquisition means 10 may be associated with each other and recorded in the load DB 60.

  The regular driver determination means 12 is a means for determining whether or not the driver seated in the driver's seat is a regular driver. For example, a load corresponding to a regular driver registered in the load DB 60 in advance. Information and the load information corresponding to the driver who is currently driving acquired by the load information acquisition means 10 to calculate the similarity, and when the similarity exceeds a predetermined value, the driver It is determined that the driver is a regular driver. On the other hand, when the similarity is equal to or lower than a predetermined value, the driver is determined not to be a regular driver.

  The similarity is calculated by pattern-matching the regular driver's load isobaric map with the current driver's load isobaric map, and further, the inter-sciatic distance, the maximum load at the sciatic position, the inter-scapular distance, the scapular position May be adjusted in consideration of differences in height, maximum load at the scapula position, occipital position, driver weight, and the like.

  The similarity is calculated for each driving state, and the normal driver determination unit 12 determines that the driver is not a normal driver when the similarity in all driving states is equal to or less than a predetermined value. It is also possible to determine that the driver is not a regular driver when the similarity in a part of the driving state becomes a predetermined value or less.

  Moreover, the regular driver determination means 12 is the driving operation information corresponding to the regular driver registered in the driving operation DB 61 in advance, and the driving corresponding to the driver performing the current driving acquired by the driving operation information acquisition means 11. The similarity may be adjusted by comparing the operation information.

  The regular driver determination means 12 may calculate the similarity based only on the load information, may calculate the similarity based only on the driving information, or pulls out the seat belt using the Hall element. The similarity may be adjusted based on the seat belt wearing characteristics based on the output of the quantity detector.

  The registration of the load information and the driving operation information corresponding to the regular driver notifies the vehicle theft determination device 100 that the regular driver is seated in the driver's seat via an input means such as a touch panel. It is performed by recording load information and driving operation information using the weight information acquisition means 10 and the driving operation information acquisition means 11 while actually using. Further, there may be a plurality of regular drivers.

  The theft notification means 13 is a means for notifying that the vehicle has been stolen. For example, when the current driver is determined not to be a normal driver by the normal driver determination means 12, the vehicle If the user encounters theft, a control signal is output to the communication unit 7 and theft information is transmitted to the outside (for example, a mobile phone of a regular driver, a police, a vehicle dealer, etc.).

  The theft information is information for notifying that the vehicle has been stolen. For example, text data indicating that the theft has occurred, information on the characteristics of the vehicle (vehicle type, year, color, number, etc.) .), The current position of the vehicle acquired via the GPS mounted on the vehicle, the driver's face image captured by the in-vehicle camera mounted on the vehicle, and the like.

  In addition, the theft notification means 13 is notified in advance by a regular driver that a driver who is not a regular driver uses the vehicle (for example, from the mobile phone of the regular driver via the communication unit 7). When the control signal shown is received), the theft information is not transmitted to the outside even if the current driver is determined not to be a normal driver by the normal driver determination means 12. In this case, the determination by the regular driver determination unit 12 may be stopped.

  Next, a process in which the vehicle theft determination device 100 determines whether or not a theft has occurred (hereinafter referred to as “theft determination process”) will be described with reference to FIG. FIG. 3 is a flowchart showing the flow of the theft determination process. The vehicle theft determination apparatus 100 starts this process when the engine is started, and repeats this process at predetermined intervals while the engine is operating. Processing shall be executed.

  First, the control unit 1 receives the load distribution received by the seat 20 and the backrest 21 based on the output of the seat load sensor 2, the backrest load sensor 3, or the headrest load sensor 4 by the load information acquisition unit 10. The distribution of the load and the distribution of the load received by the headrest 22 are acquired, and the load information corresponding to the current driver is acquired (step S1).

  Thereafter, the control unit 1 acquires driving operation information based on outputs from the steering angle sensor, the accelerator pedal depression amount sensor, the brake pedal depression amount sensor, and the like by the driving operation information acquisition unit 11, and operates from the acquired driving operation information. The state is estimated (step S2).

  Thereafter, the control unit 1 records the load information acquired by the load information acquisition unit 10 and the driving state estimated by the driving operation information acquisition unit 11 in association with each other in the load DB 60 (step S3).

  Next, the control unit 1 reads the load information corresponding to the normal driver by the normal driver determination means 12 by referring to the load DB 60 for each driving state (step S4), and for each driving state corresponding to the current driver. It is determined whether or not the current driver is a regular driver as compared with the load information (step S5).

  When it is determined that the current driver is a regular driver (YES in step S5), the control unit 1 temporarily ends the theft determination process without transmitting the theft information.

  On the other hand, when it is determined that the current driver is not a regular driver (NO in step S5), the control unit 1 outputs a control signal to the communication unit 7 by the theft notification means 13, and externally Theft information is notified (step S6).

  With the above-described configuration, the vehicle theft determination device 100 has the current variation based on the load information that has a relatively small variation according to the situation and a relatively large discriminating power even when the vehicle is used with a regular key. Since it is determined whether or not the driver is a regular driver, it is possible to determine whether or not the current driver is a regular driver more quickly and with high accuracy.

  Although the preferred embodiments of the present invention have been described in detail above, the present invention is not limited to the above-described embodiments, and various modifications and substitutions can be made to the above-described embodiments without departing from the scope of the present invention. Can be added.

  For example, in the above-described embodiment, the vehicle theft determination device 100 uses load sensors arranged on the seat 20, the backrest 21, and the headrest 22 in order to acquire load information. In addition to these load sensors, or Instead of these load sensors, load sensors arranged on an armrest, a steering wheel, a shift knob or the like may be used.

It is a block diagram which shows the structural example of the vehicle theft determination apparatus which concerns on this invention. It is a perspective view of a driver's seat where a load sensor is arranged. It is a flowchart which shows the flow of a theft determination process.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Control part 2 Seat load sensor 3 Backrest load sensor 4 Headrest load sensor 5 Driving operation information detection part 6 Storage part 7 Communication part 10 Load information acquisition means 11 Driving operation information acquisition means 12 Regular driver determination means 13 Theft notification means 20 Seat 21 Backrest 22 Headrest 60 Load database 61 Driving operation database 100 Vehicle theft determination device

Claims (2)

Load information acquisition means for acquiring load information related to the load received by the support member that supports the driver's body;
Regular driver determination means for comparing the load information detected by the load information acquisition means with load information corresponding to a registered driver registered in advance to determine whether or not the driver is a regular driver;
A theft notification means for notifying that a theft has been encountered when it is determined by the regular driver determination means that the driver is not a regular driver;
A vehicle theft determination device comprising: The support member includes a seat, a backrest, or a headrest.
The vehicle theft determination device according to claim 1.

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