Vehicle behavior learning apparatuses, methods, and programs

• US 20090005929A1
• Filed: 06/13/2008
• Published: 01/01/2009
• Est. Priority Date: 06/29/2007
• Status: Abandoned Application

• Current Assignee: Aisin AW Company Limited (Aisin Corp.)
• Original Assignee: Aisin AW Company Limited (Aisin Corp.)
• Inventors: Nakamura, Masaki, Aisaka, Osamu, Ishikawa, Tomoaki, Kanba, Motoki, Nakao, Koichi
• Application Number:
  US12/213,076
• Publication Number:
  US 20090005929A1
• Time in Patent Office: Days
• US Class Current: 701/35
• CPC Class Codes: B60T 2210/36 Global Positioning System [GPS]
• CPC Class Codes: B60T 2220/02 Driver type; Driving style; Driver adaptive features
• CPC Class Codes: B60T 2270/86 Optimizing braking by using ESP vehicle or tire model
• CPC Class Codes: B60T 7/22 initiated by contact of vehicle, e.g. bumper, with an external object, e.g. another vehicle , or by means of contactless obstacle detectors mounted on the vehicle
• CPC Class Codes: B60W 10/06 including control of combustion engines
• CPC Class Codes: B60W 10/08 including control of electric propulsion units, e.g. motors or generators
• CPC Class Codes: B60W 10/11 Stepped gearings
• CPC Class Codes: B60W 10/22 including control of suspension systems
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 40/02 related to ambient conditions
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: B60W 50/06 Improving the dynamic response of the control system, e.g. improving the speed of regulation or avoiding hunting or overshoot
• CPC Class Codes: B62D 1/02 vehicle-mounted
• CPC Class Codes: B62D 15/00 Steering not otherwise provided for
• CPC Class Codes: G01C 21/26 specially adapted for navigation in a road network
• CPC Class Codes: G01C 21/36 Input/output arrangements for on-board computers
• CPC Class Codes: G06N 20/00 Machine learning

Abstract

Vehicle behavior learning apparatuses, methods, and programs acquire image information of an area around a vehicle and perform image recognition of a particular feature included in the image information. The apparatuses, methods, and programs detect a behavior of the vehicle and acquire relation information indicating the relationship between the detected behavior of the and the recognized particular feature before the recognition of the behavior. The apparatuses, methods, and programs store detected behavior information including behavior property information indicating a property of the detected behavior of the vehicle and the acquired relation information associated with the behavior in a memory and produce learned behavior information indicating a result of learning of the behavior related to the particular feature on the basis of the stored detected behavior information.

Claims

1. A vehicle behavior learning apparatus, comprising:

a controller that;

acquires image information of an area around a vehicle;

performs image recognition of a particular feature included in the image information;

detects a behavior of the vehicle;

acquires relation information indicating the relationship between the detected behavior and the recognized particular feature;

stores detected behavior information including behavior property information indicating a property of the detected behavior of the vehicle and the acquired relation information associated with the behavior in a memory; and

produces learned behavior information indicating a result of learning of the behavior related to the particular feature on the basis of the stored detected behavior information.

2. The vehicle behavior learning apparatus according to claim 1, wherein the detected behavior of the includes at least one of:

an operation of the vehicle; and

acceptance by a part of the vehicle of an operation performed by a driver.

3. The vehicle behavior learning apparatus according to claim 1, wherein the relation information includes distance information indicating the distance from a recognized location of the particular feature to a position of the vehicle at which the behavior of the vehicle is detected.

4. The vehicle behavior learning apparatus according to claim 1, wherein the relation information includes feature identification information identifying the particular recognized feature.

5. The vehicle behavior learning apparatus according to claim 1, wherein the controller acquires the relation information on the basis of at least one of:

information indicating a detected travel distance of the vehicle; and

information indicating an acquired current position of the vehicle.

6. The vehicle behavior learning apparatus according to claim 1, wherein the learned behavior information includes the behavior property information associated with a particular behavior and statistical relation information, the behavior property information being produced on the basis of a plurality of pieces of detected behavior information associated with the same particular behavior detected a plurality of times and stored in the memory, the statistical relation information being determined statistically from the plurality of pieces of relation information associated with the particular behavior.

7. The vehicle behavior learning apparatus according to claim 1, wherein the particular feature is a road marking formed on the surface of a road.

8. The vehicle behavior learning apparatus according to claim 1, wherein the memory stores the produced learned behavior information.

9. The vehicle behavior learning apparatus according to claim 1, wherein the controller:

detects a particular feature indicated by the learned behavior information via image recognition;

predicts that a behavior of the vehicle related to the detected particular feature will occur; and

outputs a result of the prediction of the behavior.

10. The vehicle behavior learning apparatus according to claim 9, wherein the controller uses the result of the prediction of the behavior to perform at least one of:

a calculation for outputting guidance information associated with the vehicle; and

a process for outputting guidance information associated with the vehicle.

11. The vehicle behavior learning apparatus according to claim 9, wherein the controller uses the result of the prediction of the behavior to a control apparatus disposed in a vehicle, the control apparatus being adapted to reproduce the operation performed by the driver.

12. The vehicle behavior learning apparatus according to claim 9, wherein the controller supplies the result of the prediction of the behavior to a control apparatus adapted to optimize the operation of the vehicle.

13. The vehicle behavior learning apparatus according to claim 1, wherein the controller:

acquires recognition position information indicating a recognition position of a particular recognized feature;

stores recognized feature information including feature property information representing a property of the particular recognized feature and the acquired recognition position information in the memory; and

produces learned feature information representing a result of learning of the particular feature on the basis of a plurality of pieces of recognized feature information produced for the same particular feature detected a plurality of times via image recognition and stored in the memory.

14. The vehicle behavior learning apparatus according to claim 13, wherein the learned feature information includes the feature property information associated with the same particular feature indicated by the plurality of pieces of recognized feature information and estimated position information statistically determined from the plurality of pieces of recognition position information associated with the particular feature.

15. The vehicle behavior learning apparatus according to claim 13, wherein the memory stores the learned feature information produced by the learned feature information generation unit.

16. The vehicle behavior learning apparatus according to claim 13, wherein the memory is included in a server that communicates with a plurality of other vehicles such that the memory is capable of communicating with the plurality of other vehicles;

and

the memory is adapted to store recognized feature information supplied from one or more of the plurality of other vehicles.

17. The vehicle behavior learning apparatus according to claim 1, wherein:

the memory is included in a server that communicates with a plurality of other vehicles such that the memory is capable of communicating with the plurality of other vehicles; and

memory is adapted to store detected behavior information supplied from one or more of the plurality of other vehicles.

18. A navigation apparatus, comprising:

a vehicle behavior learning apparatus according to claim 1; and

a map information storage unit in which map information is stored;

wherein the controller operates to provide guidance with reference to one or both of the learned behavior information and the map information.

19. A vehicle behavior learning method, comprising:

acquiring image information of an area around a vehicle;

performing image recognition of a particular feature included in the image information;

detecting a behavior of the vehicle;

acquiring relation information indicating the relationship between the detected behavior and the recognized particular feature;

storing detected behavior information including behavior property information indicating a property of the detected behavior of the vehicle and the acquired relation information associated with the behavior in a memory; and

producing learned behavior information indicating a result of learning of the behavior related to the particular feature on the basis of the stored detected behavior information.

20. A computer-readable storage medium storing a computer-executable program usable to learn vehicle behavior, the program comprising:

instructions for acquiring image information of an area around a vehicle;

instructions for performing image recognition of a particular feature included in the image information;

instructions for detecting a behavior of the vehicle;

instructions for acquiring relation information indicating the relationship between the detected behavior and the recognized particular feature;

instructions for storing detected behavior information including behavior property information indicating a property of the detected behavior of the vehicle and the acquired relation information associated with the behavior in a memory; and

instructions for producing learned behavior information indicating a result of learning of the behavior related to the particular feature on the basis of the stored detected behavior information.