DISTRIBUTED KNOWLEDGE BASE PROGRAM FOR VEHICULAR LOCALIZATION AND WORK-SITE MANAGEMENT

• US 20100063648A1
• Filed: 09/11/2008
• Published: 03/11/2010
• Est. Priority Date: 09/11/2008
• Status: Active Grant

• Current Assignee: Deere & Company
• Original Assignee: Deere & Company
• Inventors: Anderson, Noel Wayne
• Granted Patent: US 8,224,500 B2
• Time in Patent Office: Days
• US Class Current: 701/1
• CPC Class Codes: G05D 1/0088 characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00
• CPC Class Codes: G05D 2201/0201 Agriculture or harvesting machine
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/043 Distributed expert systems; Blackboards

Abstract

The illustrative embodiments provide a computer program product for controlling a vehicle. In an illustrative embodiment, a computer program product is comprised of a computer recordable media having computer usable program code for identifying a dynamic condition. When the dynamic condition is identified, computer usable program code using a knowledge base controls the vehicle.

Claims

1. A computer program product comprising:

a computer recordable media;

computer usable program code, stored on the computer recordable media, for identifying a dynamic condition, and responsive to identifying the dynamic condition, controlling the vehicle using a knowledge base comprising an a priori knowledge base, an online knowledge base, and a learned knowledge base.

2. The computer program product of claim 1, wherein the identifying step comprises:

computer usable program code for identifying an environment using a set of sensors on the vehicle.

3. The computer program product of claim 1, wherein the identifying step comprises:

computer usable program code for receiving data from a plurality of sensors for the vehicle to form received data; and

computer usable program code for generating a thematic map using the received data and the knowledge base.

4. The computer program product of claim 2, wherein the step of identifying an environment using a set of sensors on the vehicle comprises:

computer usable program code for identifying a set of objects using sensor data from the set of sensors and the knowledge base.

5. The computer program product of claim 4, wherein the knowledge base specifies the set of objects based on the environment.

6. The computer program product of claim 1, further comprising:

computer usable program code for selectively updating the learned knowledge base using the dynamic conditions.

7. The computer program product of claim 6, wherein the selectively updating step comprises:

computer usable program code for updating the learned knowledge base with changes to a set of objects in the environment.

8. The computer program product of claim 1, wherein the step of identifying the dynamic condition comprises:

computer usable program code for identifying a set of differences between an environment as detected by a set of sensors for the vehicle and a description of the environment in the knowledge base.

9. The computer program product of claim 8, further comprising:

computer usable program code for updating the learned knowledge base with the set of differences.

10. The computer program product of claim 8, wherein the set of sensors comprises at least one of a global positioning system, structured light sensor, two dimensional/three dimensional lidar, dead reckoning, far and medium infrared camera, visible light camera, radar, ultrasonic sonar, and radio frequency identification reader.