Reduced network flow and computational load using a spatial and temporal variable scheduler

• US 9,377,314 B2
• Filed: 04/02/2014
• Issued: 06/28/2016
• Est. Priority Date: 04/02/2014
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Tseng, Fling, Yang, Hsin-hsiang, Prakah-Asante, Kwaku O., Makki, Imad Hassan, Treharne, William David, Filev, Dimitar Petrov
• Primary Examiner(s): Black, Thomas G
• Assistant Examiner(s): PAIGE, TYLER D
• Application Number:
  US14/243,424
• Publication Number:
  US 20150285642A1
• Time in Patent Office: 818 Days
• Field of Search: 701/25, 455/456.3, 340/903
• US Class Current: 1/1
• CPC Class Codes: G01C 21/26 specially adapted for navigation in a road network
• CPC Class Codes: G01C 21/34 Route searching; Route guidance

Abstract

A vehicle includes a navigation system and a processing device. The navigation system is configured to identify a current location of the vehicle, a destination location, and a distance between the current location and the destination location. The processing device is configured to identify a task, associate the task to the destination location, and schedule the task according to the distance from the destination location.

Claims

1. A vehicle comprising:

a navigation system configured to identify a current location of the vehicle, a destination location, and a distance between the current location and the destination location; and

a processing device programmed to identify a task, associate the task to the destination location, and schedule the task to be executed at a predetermined frequency that varies with the distance to the destination location,

wherein the processing device is programmed to determine the distance to the destination location at the same predetermined frequency as the execution of the task.

2. The vehicle of claim 1, wherein the predetermined frequency increases as the distance to the destination location decreases.

3. The vehicle of claim 1, wherein the task includes sampling a sensor signal.

4. The vehicle of claim 1, wherein the task includes communicating with a remote server.

5. The vehicle of claim 1, wherein the task includes operating the vehicle in an autonomous mode.

6. The vehicle of claim 1, wherein the task is scheduled in accordance with a speed of the vehicle.

7. The vehicle of claim 1, wherein the processing device is programmed to update the distance to the destination location each time the task occurs.

8. A vehicle system comprising:

a processing device configured to identify a task, associate the task to a destination location, and schedule the task to be executed at a predetermined frequency that varies according to a distance between a current location of a vehicle and the destination location,

wherein the processing device is programmed to determine the distance to the destination location at the same predetermined frequency as the execution of the task.

9. The vehicle system of claim 8, wherein the predetermined frequency increases as the distance to the destination location decreases.

10. The vehicle system of claim 8, wherein the task includes sampling a sensor signal.

11. The vehicle system of claim 8, wherein the task includes communicating with a remote server.

12. The vehicle system of claim 8, wherein the task includes operating the vehicle in an autonomous mode.

13. The vehicle system of claim 8, wherein the task is scheduled in accordance with a speed of the vehicle.

14. The vehicle system of claim 8, wherein the processing device is programmed to update the distance to the destination location each time the task occurs.

15. A method comprising:

identifying a current location of a vehicle;

identifying a destination location of the vehicle;

calculating a distance between the current location and the destination location;

identifying a task; and

scheduling the task to be executed at a predetermined frequency that varies according to the distance from the destination location; and

determining the distance to the destination location at the same predetermined frequency as the execution of the task.

16. The method of claim 15, wherein the predetermined frequency increases as the distance to the destination location decreases.

17. The method of claim 15, wherein updating the distance to the destination location includes updating the distance to the destination location each time the task occurs.