JP2010231358A - Vehicle specifying device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a vehicle specifying device accurately specifying a target vehicle out of a plurality of other vehicles which are under communication with a self vehicle. <P>SOLUTION: The vehicle specifying device firstly acquires a difference between a moved distance of each of other vehicles and a moved distance of the self vehicle based on positional information of each of the other vehicles acquired by communication, then a variation amount of a vehicle distance between the self vehicle and a forward vehicle, which is detected by a radar. A difference between the variation amount of the vehicle distance between the self vehicle and the forward vehicle and moved distance difference between each of the other vehicles and the self vehicle is calculated, an integrated value of its difference is calculated, and the other vehicle which is communication destination is decided to be a forward vehicle candidate when an absolute value of the integrated value of the difference is smaller than an absolute value of a threshold value. The basic process is executed in parallel by shifting a start timing of integration of the difference. Then the forward vehicle candidate which is most firstly specified from a starting time point of integration, is selected as the forward vehicle of a subject to be specified among each of forward vehicle candidates decided by a plurality of numbers of the basic process. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a vehicle identifying device that identifies an other vehicle whose state quantity is detected by the own vehicle from among a plurality of other vehicles communicating with the own vehicle.

  As a conventional vehicle identification device, for example, as described in Patent Document 1, a speed change of another vehicle detected by a radar device is compared with a speed change of another vehicle acquired by inter-vehicle communication, and the speed change is detected. A vehicle in which other vehicles that match is determined to be the same vehicle is known.

JP 2008-46873 A

  For example, in a crowded road environment or the like, the vehicle behavior (acceleration / deceleration) tends to be similar, so that there are vehicles with similar speed changes. In this case, when specifying another vehicle whose speed change is detected by the own vehicle from among a plurality of other vehicles communicating with the own vehicle, it may be difficult to specify the other vehicle.

  An object of the present invention is to provide a vehicle identification device that can accurately identify a target other vehicle from a plurality of other vehicles communicating with the host vehicle.

  The vehicle identification device of the present invention includes other vehicle information acquisition means for acquiring information on the first state quantity of a plurality of other vehicles traveling around the own vehicle by communication, and any other vehicle traveling around the own vehicle. Other vehicle state detection means for detecting the second state quantity, data relating to the first state quantity of the plurality of other vehicles acquired by the other vehicle information acquisition means, and the second state of any other vehicle detected by the other vehicle state detection means The integrated data generating means for generating a plurality of integrated value transition data obtained by integrating the difference value with the data related to the amount at different start timings and the plurality of integrated value transition data generated by the integrated data generating means are compared, and The vehicle further comprises other vehicle specifying means for specifying any other vehicle from a plurality of other vehicles communicating with the vehicle.

  In such a vehicle identification device of the present invention, information on the first state quantity of a plurality of other vehicles is acquired by communication, a second state quantity of any other vehicle is detected, and data relating to the first state quantity is obtained. Integrated value transition data obtained by integrating the difference value with the data relating to the second state quantity is generated, and any other vehicle is selected from a plurality of other vehicles communicating with the host vehicle based on the integrated value transition data. Identify. At this time, for example, even when the vehicle behavior tends to be similar in a crowded road environment or the like, if the integration start timing changes, the trend of the integrated value transition data becomes different. Therefore, by generating a plurality of integrated value transition data obtained by integrating the difference value between the data related to the first state quantity and the data related to the second state quantity at different start timings, and comparing these integrated value transition data, It is possible to improve the discrimination accuracy between vehicles having similar behaviors. Thereby, any other target vehicle can be accurately identified from a plurality of other vehicles communicating with the host vehicle.

  Preferably, the other vehicle information acquisition unit acquires information on a movement amount of the other vehicle as a first state quantity of the other vehicle by communication, and the other vehicle state detection unit includes the own vehicle as the second state quantity of the other vehicle. An inter-vehicle distance from a preceding vehicle traveling in front of the host vehicle is detected. In this case, the difference between the amount of movement of the host vehicle and other vehicles per predetermined time and the amount of change in the distance between the host vehicle, the preceding vehicle and the vehicle per predetermined time are obtained, and the difference value between the two at different start timings. By generating a plurality of integrated value transition data obtained by integration, any other target vehicle can be reliably identified with high accuracy from a plurality of other vehicles communicating with the host vehicle.

  According to the present invention, for example, even in a congested road environment, it is possible to accurately specify a target other vehicle from a plurality of other vehicles communicating with the host vehicle.

It is a block diagram showing a schematic structure of one embodiment of a vehicle specific device concerning the present invention. It is a flowchart which shows the detail of a basic process sequence among the vehicle specific processes performed by ECU shown in FIG. It is a conceptual diagram which shows the difference of the movement distance (movement amount) of the own vehicle and a front vehicle, and the variation | change_quantity of the inter-vehicle distance of the own vehicle and a front vehicle. It is a conceptual diagram which shows an example of the error of a wheel speed sensor and a radar sensor, and the difference | error of the difference of a movement distance difference and the inter-vehicle distance variation | change_quantity. It is a figure which shows an example of the integrated value transition data produced | generated by the basic process shown in FIG. It is a flowchart which shows the detail of a front vehicle selection process sequence among the vehicle specific processes performed by ECU shown in FIG. It is a figure which shows an example of the some integrated value transition data produced | generated by the some basic process shown in FIG. It is the figure which plotted an example of the traffic flow in which the several vehicles containing the own vehicle are drive | working.

  Hereinafter, a preferred embodiment of a vehicle identification device according to the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram showing a schematic configuration of an embodiment of a vehicle identification device according to the present invention. In the figure, the vehicle identification device 1 according to the present embodiment is a target whose own vehicle measures an inter-vehicle distance by a radar from a plurality of other vehicles that are communicating with the own vehicle around the own vehicle. It is a device that identifies the vehicle ahead.

  The vehicle identification device 1 includes an inter-vehicle communication device 2, a radar sensor 3, a wheel speed sensor 4, and an ECU (Electronic Control Unit) 5. The inter-vehicle communication device 2 is a device that performs wireless communication with a plurality of other vehicles running around the host vehicle. The radar sensor 3 is a sensor that detects the inter-vehicle distance between the host vehicle and the preceding vehicle by irradiating the preceding vehicle traveling immediately before the host vehicle with a millimeter wave radar or the like. The wheel speed sensor 4 is a sensor that detects the wheel speed of the host vehicle.

  The ECU 5 includes a CPU, a memory such as a ROM and a RAM, an input / output circuit, and the like. The ECU 5 inputs the reception information of the inter-vehicle communication device 2, the detection values of the radar sensor 3 and the wheel speed sensor 4, performs a predetermined process, and from among a plurality of other vehicles that are communicating with the host vehicle. Identify the vehicle ahead.

  FIG. 2 is a flowchart showing details of a basic processing procedure in the vehicle identification processing executed by the ECU 5.

  In the figure, first, an initial value is set (step S11). Specifically, the integrated value (described later) is reset to zero. Moreover, the initial position of each other vehicle acquired by the inter-vehicle communication device 2 is set. In addition, the initial inter-vehicle distance between the host vehicle and the preceding vehicle detected by the radar sensor 3 is set.

  Subsequently, based on the position information of each other vehicle acquired by the inter-vehicle communication device 2 and the wheel speed of the host vehicle detected by the wheel speed sensor 4, as shown in FIG. 3, within a predetermined time (T2-T1). The difference between the movement distance (movement amount) of each other vehicle and the movement distance (movement amount) of the host vehicle is obtained (step S12). The travel distance of the other vehicle is obtained from the position information of the other vehicle sent by communication. The travel distance of the host vehicle can be obtained by integrating the wheel speed of the host vehicle over time.

Subsequently, as shown in FIG. 3, the amount of change in the inter-vehicle distance between the host vehicle and the preceding vehicle detected by the radar sensor 3 within a predetermined time (T2-T1) is calculated (step S13). This calculation is performed using the following equation.
Change in inter-vehicle distance = current inter-vehicle distance-initial inter-vehicle distance

  Subsequently, a difference between the amount of change in the inter-vehicle distance between the host vehicle and the preceding vehicle obtained in step S13 and the movement distance difference between each other vehicle and the host vehicle obtained in step S12 is calculated (step S14). . Then, an integrated value of the difference is calculated (procedure S15).

Subsequently, a threshold value for determining a forward vehicle candidate (described later) is set (step S16). Here, if the preceding vehicle is communicating with the own vehicle, in principle, the amount of change in the inter-vehicle distance between the own vehicle and the preceding vehicle and the difference in travel distance between the own vehicle and the preceding vehicle within a predetermined time. The difference between and should be zero. However, as shown in FIG. 4, an error corresponding to the moving distance (integrated distance) occurs in the wheel speed sensor 4, and an error also occurs in the radar sensor 3. For this reason, the difference between the two is never completely zero. Therefore, it is necessary to set an appropriate threshold value in order to determine the forward vehicle candidate. The threshold value is obtained by the following formula, for example.
Threshold = (cumulative distance × wheel speed cumulative error) + (radar detection distance × radar error)

  Subsequently, it is determined whether or not the absolute value of the difference integrated value obtained in step S15 is smaller than the absolute value of the threshold (step S17), and the absolute value of the difference integrated value is smaller than the absolute value of the threshold. Determines the other vehicle of the communication destination as a forward vehicle candidate (procedure S18). On the other hand, when the absolute value of the difference integrated value is not smaller than the absolute value of the threshold, the other vehicle of the communication destination is excluded from the preceding vehicle candidates (step S19).

  Thereafter, it is determined whether or not the number of front vehicle candidates has been narrowed down to one (step S20). When the number of front vehicle candidates has been narrowed down to one, this processing ends. When the number of forward vehicle candidates is not narrowed down to one, the process returns to step S12, and the processes after step S12 are repeatedly executed. Thereby, for example, integrated value transition data as shown in FIG. 5 is generated. In the road environment shown in FIG. 5, the number of forward vehicle candidates is narrowed down to one when 12 seconds have elapsed from the start of difference accumulation.

  FIG. 6 is a flowchart showing details of the forward vehicle selection processing procedure in the vehicle identification processing executed by the ECU 5. In the forward vehicle selection process, the basic process B shown in FIG. 2 is executed in parallel while shifting the difference integration start timing. That is, a plurality of integrated value transition data as shown in FIG. 7 is generated by performing the difference integration process a plurality of times at different start timings (for example, every 1 sec).

  In FIG. 6, the front vehicle candidate identified earliest from the integration start time is selected as the front vehicle to be identified among the front vehicle candidates determined by the plurality of basic processes B having different accumulation start timings. (Procedure S30). For example, in a road environment as shown in FIG. 7, the forward vehicle candidate specified in the integrated value transition data whose integration start time is 6 seconds after the first integration start timing is selected as the forward vehicle.

  In the forward vehicle selection process shown in FIG. 6, the other vehicle excluded from the forward vehicle candidate in any of the basic processes B is also excluded from the forward vehicle candidate in the other basic process B.

  FIG. 8 is a plot of an example of a traffic flow in which a plurality of vehicles including the host vehicle are traveling. In the figure, a vehicle P indicates the host vehicle, and a vehicle Q indicates a front vehicle that runs immediately before the host vehicle. The numerical value in the figure represents the time point (integration start time sec) when the vehicle traveling immediately before the forward vehicle Q is distinguished from the forward vehicle Q. For example, a vehicle traveling immediately before the preceding vehicle Q indicates that it is distinguished from the preceding vehicle Q earliest when the integration start time is 1 sec after the first integration start timing.

  In the above, the inter-vehicle communication device 2 constitutes other vehicle information acquisition means for acquiring information on the first state quantity of a plurality of other vehicles traveling around the host vehicle by communication. The radar sensor 3 constitutes other vehicle state detection means for detecting a second state quantity of an arbitrary other vehicle traveling around the host vehicle. The above-described steps S11 to S15 of the wheel speed sensor 4 and the ECU 5 are the data on the first state quantity of a plurality of other vehicles acquired by the other vehicle information acquisition unit and the second of any other vehicle detected by the other vehicle state detection unit. An integrated data generating unit is configured to generate a plurality of integrated value transition data obtained by integrating the difference value with the data relating to the state quantity at different start timings. The above steps S16 to S20 and S30 of the ECU 5 are for comparing a plurality of integrated value transition data generated by the integrated data generating means and specifying any other vehicle from a plurality of other vehicles communicating with the own vehicle. The vehicle specifying means is configured.

  By the way, in a relatively congested road environment, the behavior (acceleration / deceleration) of the vehicle tends to be similar, and the tendency of the behavior to be similar is particularly strong in adjacent vehicles. For this reason, the host vehicle detected by the radar sensor 3 when the host vehicle detects the front vehicle in which the host vehicle detects the inter-vehicle distance from among a plurality of other vehicles communicating with the host vehicle. The difference between the change amount of the inter-vehicle distance between the vehicle and the preceding vehicle (simply the change amount of the inter-vehicle distance) and the difference between the movement distances of the other vehicles and the own vehicle (simply the movement distance difference) acquired by the inter-vehicle communication is integrated. If it is performed only once, it takes time to specify the vehicle ahead.

  On the other hand, in the present embodiment, by performing the integration process of the difference between the inter-vehicle distance change amount detected by the radar sensor 3 and the moving distance difference acquired by inter-vehicle communication in parallel at a plurality of different integration start timings. A plurality of integrated value transition data is generated. The tendency of the integrated value transition varies depending on the positional relationship between the host vehicle and the other vehicle at the start of integration. For this reason, by comparing a plurality of integrated value transition data and specifying a target front vehicle from among a plurality of other vehicles communicating with the host vehicle, the front vehicle is determined from one integrated value transition data. Compared to the case of specifying, the vehicle ahead can be specified quickly.

  In addition, by specifying a forward vehicle using a plurality of integrated value transition data, it also serves as a collation of specific results performed using a single integrated value transition data. For this reason, since the discrimination | determination precision of vehicles with similar behavior becomes high, the specification of a front vehicle can be performed with high precision and reliability improves.

  The present invention is not limited to the above embodiment. For example, in the above-described embodiment, the inter-vehicle communication device 2 acquires position information of each other vehicle as a state quantity, and the radar sensor 3 directly detects the inter-vehicle distance between the host vehicle and the preceding vehicle as the state quantity of the other vehicle. However, in addition to this, the state quantity of the other vehicle may be the speed (vehicle speed) of the other vehicle, the relative speed between the host vehicle and the other vehicle, or the like.

DESCRIPTION OF SYMBOLS 1 ... Vehicle identification device, 2 ... Inter-vehicle communication device (other vehicle information acquisition means), 3 ... Radar sensor (other vehicle state detection means), 4 ... Wheel speed sensor (integration data generation means), 5 ... ECU (integration data) Generating means, other vehicle specifying means).

Claims (2)

Other vehicle information acquisition means for acquiring information of first state quantities of a plurality of other vehicles traveling around the host vehicle by communication;
Other vehicle state detection means for detecting a second state quantity of any other vehicle traveling around the host vehicle;
The difference value between the data relating to the first state quantity of the plurality of other vehicles acquired by the other vehicle information obtaining means and the data relating to the second state quantity of the arbitrary other vehicle detected by the other vehicle state detecting means is differently started. Integrated data generation means for generating a plurality of integrated value transition data integrated at timing;
Other vehicle specifying means for comparing the plurality of integrated value transition data generated by the integrated data generating means and specifying the arbitrary other vehicle from the plurality of other vehicles communicating with the host vehicle. A vehicle identification device. The other vehicle information acquisition means acquires information on the amount of movement of the other vehicle by communication as the first state quantity of the other vehicle,
2. The vehicle identification according to claim 1, wherein the other vehicle state detection unit detects an inter-vehicle distance between the host vehicle and a preceding vehicle traveling in front of the host vehicle as a second state quantity of the other vehicle. apparatus.

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