IP Library Granted Patent US 11,904,852
Granted Patent B2
US 11,904,852 · App. 17/465,844 · Granted Feb 20, 2024

Information processing apparatus, information processing method, and program

Inventors: Shingo Takamatsu (Tokyo, JP); Kenta Kawamoto (Tokyo, JP); Naoki Ide (Tokyo, JP); Yoshiyuki Kobayashi (Tokyo, JP)
Assignee: SONY GROUP CORPORATION
B60W30/0953G07C5/08G08G1/16B60R21/00
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Quick Facts
Patent No.
US 11,904,852
App. No.
17/465,844
Granted
Feb 20, 2024
Kind
B2
Abstract

[Object] To provide an information processing apparatus, an information processing method, and a program capable of providing more useful information to a driver. [Solution] An information processing apparatus including: a prediction section configured to predict accident probability of a vehicle driven by a user; and an output control section configured to cause information to be output to the user, the information corresponding to a factor that increases the accident probability predicted by the prediction section.

Claims (53)

1. An information processing apparatus comprising:

processing circuitry configured predict accident probability of a vehicle driven by a user by using a prediction model, and

the processing circuitry is further configured to cause information to be output to the user, the information indicating a value of the predicted accident probability, and the information further including a factor that increases the accident probability,

wherein the prediction model is created by performing learning in a server based on a database storing feature data including at least accident information associated with a map, operation information of the vehicle, and weather information, and

the processing circuitry is further configured to output a sound message that assigns responsibility to the user for a dangerous driving operation performed by the user and indicates approval of the user for a safe driving operation performed by the user.

2. The information processing apparatus according to claim 1 , wherein the database includes the feature data received from more than one vehicle.

3. The information processing apparatus according to claim 1 , wherein the processing circuitry is further configured to predict the accident probability of the vehicle personalized for a driver of the vehicle or the vehicle.

4. The information processing apparatus according to claim 1 , wherein the database further stores occurrence of a precursory phenomenon of an accident.

5. The information processing apparatus according to claim 1 , wherein the database further stores movement information of the vehicle.

6. The information processing apparatus according to claim 1 , wherein the database further stores driving route information.

7. The information processing apparatus according to claim 1 , wherein the database further stores driving history information.

8. The information processing apparatus according to claim 4 , wherein the processing circuitry is further configured to predict occurrence probability of a precursory phenomenon of an accident.

9. The information processing apparatus according to claim 1 , wherein the information is a notification or a warning to the user.

10. The information processing apparatus according to claim 9 , wherein the processing circuitry causes the outputting of the notification or the warning when the accident probability exceeds a threshold.

11. A computer-readable storage medium storing computer instructions, which when executed by a computer, cause the computer to perform information processing steps comprising:

predicting accident probability of a vehicle driven by a user by using a prediction model;

causing information to be output to the user, the information indicating a value of the accident probability predicted by the predicting, and the information further including a factor that increases the accident probability;

creating the prediction model by performing learning in a server based on a database storing feature data including at least accident information associated with a map, operation information of the vehicle, and weather information; and

outputting a sound message that assigns responsibility to the user for a dangerous driving operation performed by the user and indicates approval of the user for a safe driving operation performed by the user.

12. The computer-readable storage medium according to claim 11 , wherein the database includes the feature data received from more than one vehicle.

13. The computer-readable storage medium according to claim 11 , wherein the predicting predicts the accident probability of the vehicle personalized for a driver of the vehicle or the vehicle.

14. The computer-readable storage medium according to claim 11 , wherein the database further stores occurrence of a precursory phenomenon of an accident.

15. The computer-readable storage medium according to claim 11 , wherein the database further stores movement information of the vehicle.

16. The computer-readable storage medium according to claim 11 , wherein the database further stores driving route information.

17. The computer-readable storage medium according to claim 11 , wherein the database further stores driving history information.

18. The computer-readable storage medium according to claim 17 , wherein the predicting predicts occurrence probability of a precursory phenomenon of an accident.

19. The computer-readable storage medium according to claim 11 , wherein the information is a notification or a warning to the user.

20. The computer-readable storage medium according to claim 19 , wherein the causing the information to be output to the user includes outputting of the notification or the warning when the accident probability exceeds a threshold.

21. An information processing method comprising:

predicting accident probability of a vehicle driven by a user by using a prediction model;

causing information to be output to the user, the information indicating a value of the accident probability predicted by the predicting, and the information further including a factor that increases the accident probability;

creating the prediction model by performing learning in a server based on a database storing feature data including at least accident information associated with a map, operation information of the vehicle, and weather information; and

outputting a sound message that assigns responsibility to the user for a dangerous driving operation performed by the user and indicates approval of the user for a safe driving operation performed by the user.

22. The information processing apparatus according to claim 1 , wherein:

the processing circuitry is further configured to identify a plurality of factors that increase the accident probability based on a degree of contribution to an increase in accident probability for each factor; and

the processing circuitry is further configured to select one of the plurality of factors that increases the accident probability by comparing the degree of contribution for each factor to a threshold value; and

the processing circuitry

outputs to the user the information that further includes the selected one of the plurality of factors as the factor that increases the accident probability.

23. The information processing apparatus according to claim 1 , wherein the information includes a textual description of the factor that increases the accident probability, an instruction about an act that the user is to carry out to decrease the accident probability, and an icon defined in advance for each of a plurality of possible factors that increase the accident probability.

24. The information processing apparatus according to claim 1 , wherein the information includes at least one of a feature in the feature data, information estimated from the feature in the feature data, and information estimated from a type of sensor corresponding to the features in the feature data.

25. The computer-readable storage medium according to claim 11 , wherein the steps further comprise:

identifying a plurality of factors that increase the accident probability based on a degree of contribution to an increase in accident probability for each factor;

selecting one of the plurality of factors that increase the accident probability by comparing the degree of contribution for each factor to a threshold value; and

outputting to the user, as the factor the increases the accident probability, the selected one of the plurality of factors.

26. The information processing method according to claim 21 , further comprising:

identifying a plurality of factors that increase the accident probability based on a degree of contribution to an increase in accident probability for each factor;

selecting one of the plurality of factors that increase the accident probability by comparing the degree of contribution for each factor to a threshold value; and

outputting to the user, as the factor the increases the accident probability, the selected one of the plurality of factors.

27. The information processing apparatus according to claim 1 , wherein the processing circuitry is further configured to display an image of a human character during the output of the sound message so as to indicate that the sound message is being given by the human character.

28. The computer-readable storage medium according to claim 11 , wherein the steps further comprise:

displaying an image of a human character during the output of the sound message so as to indicate that the sound message is being given by the human character.

29. The information processing method according to claim 21 , further comprising displaying an image of a human character during the output of the sound message so as to indicate that the sound message is being given by the human character.

30. The information processing apparatus according to claim 1 , wherein the dangerous driving operation includes an acceleration operation or a braking operation.

Assignments (1)
CHANGE OF NAME Recorded Sep 3, 2021
From: SONY CORPORATION
To: SONY GROUP CORPORATION
Reel/Frame 057405/0424 →
Priority Claims (1)
JP 2015-168527 · Aug 28, 2015 · national
Continuity (2)
Continuation 15579709
Related Publication 20210394751A1 · Dec 23, 2021