IP Library › Granted Patent US 12,626,542
Granted Patent B2
US 12,626,542 · App. 18/603,737 · Granted May 12, 2026

Data processing apparatus and non-transitory recording medium

Inventors: Takeru Shinohara (Tokyo, JP); Hajime Oyama (Tokyo, JP)
Assignee: SUBARU CORPORATION
G07C5/008G07C5/085
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Quick Facts
Patent No.
US 12,626,542
App. No.
18/603,737
Granted
May 12, 2026
Kind
B2
Abstract

A data processing apparatus includes one or more processors, and one or more recording media including a program to be executed by the one or more processors stored therein. The program includes one or more commands that cause the one or more processors to execute: a simulation process of performing, based on driving operation data of a vehicle, a simulation of a vehicle behavior of the vehicle using vehicle models having different parameter settings; and a model identifying process of identifying one or more of the vehicle models that satisfy a predetermined similarity condition by evaluating a similarity of a vehicle behavior of each of the vehicle models to be obtained in the simulation process with a target vehicle behavior. Evaluating the similarity in the model identifying process is based on respective time waveforms of the vehicle behavior obtained in the simulation process and the target vehicle behavior.

Claims (43)

1 . A data processing apparatus comprising:

one or more processors; and

one or more recording media comprising a program to be executed by the one or more processors stored therein, wherein

the program comprises one or more commands,

the one or more commands are configured to cause the one or more processors to execute:

a simulation process of performing, based on driving operation data of a vehicle of interest, a simulation of a vehicle behavior of the vehicle of interest using a plurality of vehicle models of the vehicle of interest, each of the plurality of vehicle models being subjected to a parameter setting corresponding to a different vehicle setting of the vehicle of interest; and

a model identifying process of, for each of the plurality of vehicle models,

evaluating a similarity between a time waveform of the vehicle behavior obtained in the simulation process using a corresponding one of the plurality of vehicle models and a time waveform of a target vehicle behavior, the target vehicle behavior being a vehicle behavior of the vehicle of interest, and

identifying, from among the plurality of vehicle models, one or more of the plurality of vehicle models that satisfy a predetermined similarity condition based on the evaluated similarity.

2 . The data processing apparatus according to claim 1 , wherein the vehicle setting includes at least one of:

a suspension setting including a wheel alignment setting or a tire pressure setting; or

an acceleration or deceleration related setting of an engine or a brake.

3 . The data processing apparatus according to claim 1 , wherein each of the plurality of vehicle models of the vehicle of interest is further subjected to a parameter setting corresponding to a traveling road surface state of the vehicle of interest estimated based on position data of the vehicle.

4 . The data processing apparatus according to claim 1 , wherein the evaluating of the similarity comprises calculating a degree of similarity by:

calculating, using a cross-correlation function, correlation values for respective time waveforms of a yaw rate, a longitudinal acceleration, a lateral acceleration, a roll angle, and a pitch angle included in the vehicle behavior obtained in the simulation process and the target vehicle behavior; and

summing the correlation values, and

wherein the model identifying process is configured to identify the one or more of the plurality of vehicle models as the vehicle models for which the degree of similarity is greater than or equal to a predetermined threshold.

5 . A non-transitory recording medium readable by a computer apparatus, the non-transitory recording medium causing the computer apparatus to execute a method, the method comprising:

simulating, based on driving operation data of a vehicle of interest, a vehicle behavior of the vehicle of interest using a plurality of vehicle models of the vehicle of interest, each of the plurality of vehicle models being subjected to a parameter setting corresponding to a different vehicle setting of the vehicle of interest; and

for each of the plurality of vehicle models,

evaluating a similarity between a time waveform of the vehicle behavior obtained in the simulating of the vehicle behavior using a corresponding one of the plurality of vehicle models and a time waveform of a target vehicle behavior, the target vehicle behavior being a vehicle behavior of the vehicle of interest, and

identifying, from among the plurality of vehicle models, one or more of the plurality of vehicle models that satisfy a predetermined similarity condition based on the evaluated similarity.

6 . A data processing apparatus comprising:

one or more processors; and

one or more recording media comprising a program to be executed by the one or more processors stored therein, wherein

the program comprises one or more commands,

the one or more commands are configured to cause the one or more processors to execute:

a simulation process of performing, based on driving operation data of a vehicle of interest, a simulation of a vehicle behavior of the vehicle of interest using a plurality of vehicle models of the vehicle of interest, each of the plurality of vehicle models being subjected to a parameter setting corresponding to a different vehicle setting of the vehicle of interest and to a parameter setting corresponding to a traveling road surface state of the vehicle of interest estimated based on position data of the vehicle of interest, and

a model identifying process of, for each of the plurality of vehicle models,

evaluating a similarity between a time waveform of the vehicle behavior obtained in the simulation process using a corresponding one of the plurality of vehicle models and a time waveform of a target vehicle behavior, the target vehicle behavior being a vehicle behavior of the vehicle of interest, and

identifying, from among the plurality of vehicle models, one or more of the plurality of vehicle models that satisfy a predetermined similarity condition based on the evaluated similarity.

7 . The data processing apparatus according to claim 6 , wherein the vehicle setting includes at least one of:

a suspension setting including a wheel alignment setting or a tire pressure setting; or

an acceleration or deceleration related setting of an engine or a brake.

8 . The data processing apparatus according to claim 6 , wherein evaluating the similarity in the model identifying process comprises calculating a degree of similarity by:

calculating, using a cross-correlation function, correlation values for respective time waveforms of a yaw rate, a longitudinal acceleration, a lateral acceleration, a roll angle, and a pitch angle included in the vehicle behavior obtained in the simulation process and in the target vehicle behavior; and

summing the correlation values, and

wherein the model identifying process is configured to identify the one or more of the plurality of vehicle models as the vehicle models for which the degree of similarity is greater than or equal to a predetermined threshold.

9 . A non-transitory recording medium readable by a computer apparatus, the non-transitory recording medium causing the computer apparatus to execute a method, the method comprising:

simulating, based on driving operation data of a vehicle of interest, a vehicle behavior of the vehicle of interest using a plurality of vehicle models of the vehicle of interest, each of the plurality of vehicle models being subjected to a parameter setting corresponding to a different vehicle setting of the vehicle of interest and to a parameter setting corresponding to a traveling road surface state of the vehicle of interest estimated based on position data of the vehicle of interest; and

for each of the plurality of vehicle models,

evaluating a similarity between a time waveform of the vehicle behavior obtained in the simulating of the vehicle behavior using a corresponding one of the plurality of vehicle models and a time waveform of a target vehicle behavior, the target vehicle behavior being a vehicle behavior of the vehicle of interest, and

identifying, from among the plurality of vehicle models, one or more of the plurality of vehicle models that satisfy a predetermined similarity condition based on the evaluated similarity.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 13, 2024
From: SHINOHARA, TAKERU; OYAMA, HAJIME
To: SUBARU CORPORATION
Reel/Frame 066756/0223 →
Continuity (2)
Continuation PCTJP2022037009 · Oct 3, 2022
Related Publication 20240221438A1 · Jul 4, 2024
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