DYNAMIC AUTONOMOUS SYSTEM PERFORMANCE PREDICTION METHODOLOGY

• US 20140058581A1
• Filed: 08/23/2013
• Published: 02/27/2014
• Est. Priority Date: 08/27/2012
• Status: Abandoned Application

• Current Assignee: DRS Sustainment Systems, Inc (Leonardo S.p.A.)
• Original Assignee: DRS Sustainment Systems, Inc (Leonardo S.p.A.)
• Inventors: Dierks, Travis, Wootton, Matthew
• Application Number:
  US13/974,480
• Publication Number:
  US 20140058581A1
• Time in Patent Office: Days
• US Class Current: 701/1
• CPC Class Codes: B60W 2050/0083 Setting, resetting, calibration
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 30/08 Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
• CPC Class Codes: B60W 50/00 Details of control systems for road vehicle drive control not related to the control of a particular sub-unit , e.g. process diagnostic or vehicle driver interfaces

Abstract

Methods and apparatuses are presented for optimizing performance of a base vehicle platform (e.g. an automobile) and operating the base vehicle platform without human intervention. Some embodiments may receive base vehicle platform data indicative of at least one performance characteristic of the base vehicle platform. Some embodiments may also receive environmental conditions data indicative of at least one characteristic of at least one weather condition or terrain condition, and receive base sensor data from at least one base sensor indicative of at least one up-to-date environmental condition or base vehicle platform condition. Embodiments may then generate at least one module based on the base vehicle platform data, the environmental conditions data, and the base sensor data, such that the at least one module operates the base vehicle platform without human intervention, and dynamically modifies at least one base vehicle platform performance characteristic without human reconfiguration.

Claims

1. A method for optimizing performance of a base vehicle platform, the method comprising:

receiving base vehicle platform data indicative of at least one performance characteristic of the base vehicle platform;

receiving environmental conditions data indicative of at least one characteristic of at least one weather condition or terrain condition;

receiving at least one user input;

receiving base sensor data from at least one base sensor indicative of at least one up-to-date environmental condition or base vehicle platform condition; and

generating at least one module based on the base vehicle platform data, the environmental conditions data, the at least one user input, and the base sensor data, such that the at least one module;

operates the base vehicle platform without human intervention, and

dynamically modifies at least one base vehicle platform performance characteristic without human reconfiguration.

2. The method of claim 1 wherein the at least one module comprises a Sensor Performance module and a Base Vehicle Platform Performance module.

3. The method of claim 2, further comprising:

generating the Sensor Performance module based on the base sensor data and the environmental conditions data, such that the Sensor Performance module determines at least one performance characteristic of the at least one base sensor for at least one environmental condition; and

generating the Base Vehicle Platform Performance module based on the base vehicle platform data and the environmental conditions data, such that the Base Vehicle Platform Performance module determines at least one optimal performance condition of the base vehicle platform as a function of at least one weather condition or terrain feature.

4. The method of claim 1 wherein the at least one module comprises a System Performance Predicting Algorithm module and a Dynamically Bounded System Controller module.

5. The method of claim 4 wherein:

the System Performance Predicting Algorithm module determines at least one constraint specifying what elements are needed in order to achieve a predetermined level of system performance of the base vehicle platform, and

the Dynamically Bounded System Controller module is configured to change at least one maximum performance characteristic of the base vehicle platform without human intervention.

6. A method for optimizing performance of a base vehicle platform, the method comprising:

receiving the base vehicle platform as an input;

generating at least one module based on the received base vehicle platform, such that the at least one module;

operates the base vehicle platform without human intervention, and

dynamically modifies a performance characteristic of the base vehicle platform without human reconfiguration.

7. The method of claim 6, further comprising:

receiving environmental conditions data as an input;

receiving user constraints data as an input;

receiving base vehicle sensor data as an input; and

wherein generating the at least one module is based further on the environmental conditions data, the user constraints data, and the base vehicle sensor data.

8. The method of claim 7, wherein the at least one module comprises an Obstacle Sensing Requirements module and a Platform vs. Obstacle Encountered module.

9. The method of claim 8, further comprising:

detecting at least one obstacle of the base vehicle platform using the obstacle Sensing Requirements module; and

calculating, using the Platform vs. Obstacle Encountered module, a likelihood metric of the base vehicle platform to determine a likelihood that the base vehicle platform will succeed against the at least one obstacle.

10. An apparatus comprising:

a receiver configured to receive;

base vehicle platform data indicative of at least one performance characteristic of a base vehicle platform;

environmental conditions data indicative of at least one characteristic of at least one weather condition or terrain condition;

at least one user input;

base sensor data from at least one base sensor indicative of at least one up-to-date environmental condition or base vehicle platform condition; and

a processor configure to generate at least one module based on the base vehicle platform data, the environmental conditions data, the at least one user input, and the base sensor data, such that the at least one module;

operates the base vehicle platform without human intervention, and

dynamically modifies at least one base vehicle platform performance characteristic without human reconfiguration.

11. The apparatus of claim 10 wherein the at least one module comprises a Sensor Performance module and a Base Vehicle Platform Performance module.

12. The apparatus of claim 11 wherein the processor is further configured to:

generate the Sensor Performance module based on the base sensor data and the environmental conditions data, such that the Sensor Performance module determines at least one performance characteristic of the at least one base sensor for at least one environmental condition; and

generate the Base Vehicle Platform Performance module based on the base vehicle platform data and the environmental conditions data, such that the Base Vehicle Platform Performance module determines at least one optimal performance condition of the base vehicle platform as a function of at least one weather condition or terrain feature.

13. The apparatus of claim 10 wherein the at least one module comprises a System Performance Predicting Algorithm module and a Dynamically Bounded System Controller module.

14. The apparatus of claim 13 wherein:

the System Performance Predicting Algorithm module determines at least one constraint specifying what elements are needed in order to achieve a predetermined level of system performance of the base vehicle platform, and

the Dynamically Bounded System Controller module is configured to change at least one maximum performance characteristic of the base vehicle platform without human intervention.

15. An apparatus comprising:

means for receiving base vehicle platform data indicative of at least one performance characteristic of a base vehicle platform;

means for receiving environmental conditions data indicative of at least one characteristic of at least one weather condition or terrain condition;

means for receiving at least one user input;

means for receiving base sensor data from at least one base sensor indicative of at least one up-to-date environmental condition or base vehicle platform condition; and

means for generating at least one module based on the base vehicle platform data, the environmental conditions data, the at least one user input, and the base sensor data, such that the at least one module;

operates the base vehicle platform without human intervention, and

dynamically modifies at least one base vehicle platform performance characteristic without human reconfiguration.

16. A computer program product residing on a processor-readable medium and comprising processor-readable instructions configured to cause a processor to:

receive base vehicle platform data indicative of at least one performance characteristic of a base vehicle platform;

receive environmental conditions data indicative of at least one characteristic of at least one weather condition or terrain condition;

receive base sensor data from at least one base sensor indicative of at least one up-to-date environmental condition or base vehicle platform condition; and

generate at least one module based on the base vehicle platform data, the environmental conditions data, and the base sensor data, such that the at least one module;

operates the base vehicle platform without human intervention, and

dynamically modifies at least one base vehicle platform performance characteristic without human reconfiguration.