IP Library Granted Patent US 10,262,539
Granted Patent B2
US 10,262,539 · App. 15/380,580 · Granted Apr 16, 2019

Inter-vehicle warnings

Inventor: Kenneth J. Miller (Canton, MI)
Assignee: Ford Global Technologies, LLC
G08G1/163B60W30/095G08G1/166G08G1/167
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,262,539
App. No.
15/380,580
Granted
Apr 16, 2019
Kind
B2
Abstract

A host vehicle includes: motor(s), sensors, processor(s) configured to: (a) iterate a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof; (b) associate a blindspot with an iterated future position of the second vehicle; (c) determine whether a future position of the first vehicle occupies the blindspot; (d) if so, transmit a message to the second vehicle including a message activation time.

Claims (75)

1. A vehicle comprising:

motor(s), sensors, processor(s) configured to:

iterate a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof;

associate a blindspot with an iterated future position of the second vehicle;

responsive to a future position of the first vehicle occupying the blindspot,

transmit a message to the second vehicle;

adjust a dimension of the blindspot based on a future property of the first vehicle.

2. A host vehicle comprising:

motor(s), sensors, processor(s) configured to:

iterate a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof;

associate a blindspot with an iterated future position of the second vehicle;

determine whether a future position of the first vehicle occupies the blindspot;

if so, transmit a message to the second vehicle including a predicted occupation time;

adjust a dimension of the blindspot based on a future property of the first and second vehicle.

3. A host vehicle comprising:

motor(s), sensors, processor(s) configured to:

iterate a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof;

associate a blindspot with an iterated future position of the second vehicle;

determine whether a future position of the first vehicle occupies the blindspot;

if so, transmit a message to the second vehicle including a predicted occupation time,

wherein the blindspot is associated with a third iterated future position of the second vehicle;

adjust a dimension of the blindspot based on a future property of the first vehicle at a second iterated future position of the first vehicle.

4. A host vehicle comprising:

motor(s), sensors, processor(s) configured to:

iterate a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof;

associate a first blindspot with an iterated future position of the second vehicle;

determine whether a future position of the first vehicle occupies the first blindspot;

if so, transmit a message to the second vehicle including a predicted occupation time;

associate a second, different blindspot with the iterated future position of the second vehicle.

5. The host vehicle of claim 4 , wherein the processor(s) are configured to: adjust a dimension of the first blindspot, but not the second blindspot, based on a future property of the first vehicle.

6. A host vehicle comprising:

motor(s), sensors, processor(s) configured to:

iterate a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof;

associate a blindspot with an iterated future position of the second vehicle;

determine whether a future position of the first vehicle occupies the blindspot;

if so, transmit a message to the second vehicle including a predicted occupation time;

generate the predicted occupation time based on a future time when the first vehicle is predicted to occupy the blindspot.

7. The host vehicle of claim 6 , wherein the processor(s) are configured to: generate the predicted occupation time based on the future time by subtracting a predetermined amount from the future time.

8. The host vehicle of claim 7 , wherein the processor(s) are configured to:

calculate the subtracted predetermined amount based on a future property of the first vehicle.

9. The host vehicle of claim 8 , wherein the future property of the first vehicle is a predicted speed of the first vehicle during an iteration preceding the iteration where the first vehicle occupies the blindspot.

10. A method of controlling a host vehicle, the host vehicle comprising motor(s), sensors, processor(s), the method comprising, via the processor(s):

iterating a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof;

associating a blindspot with an iterated future position of the second vehicle;

determining whether a future position of the first vehicle occupies the blindspot;

if so, transmitting a message to the second vehicle including a predicted occupation time;

adjusting a dimension of the blindspot based on a future property of the first vehicle.

11. A method of controlling a host vehicle, the host vehicle comprising motor(s), sensors, processor(s), the method comprising, via the processor(s):

iterating a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof;

associating a blindspot with an iterated future position of the second vehicle;

determining whether a future position of the first vehicle occupies the blindspot;

if so, transmitting a message to the second vehicle including a predicted occupation time;

adjusting a dimension of the blindspot based on a future property of the first and a future property of the second vehicle.

12. A method of controlling a host vehicle, the host vehicle comprising motor(s), sensors, processor(s), the method comprising, via the processor(s):

iterating a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof;

associating a blindspot with an iterated future position of the second vehicle;

determining whether a future position of the first vehicle occupies the blindspot;

if so, transmitting a message to the second vehicle including a predicted occupation time, wherein the blindspot is associated with a third iterated future position of the second vehicle;

adjusting a dimension of the blindspot based on a future property of the first vehicle at a second iterated future position of the first vehicle.

13. A method of controlling a host vehicle, the host vehicle comprising motor(s), sensors, processor(s), the method comprising, via the processor(s):

iterating a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof;

associating a first blindspot with an iterated future position of the second vehicle;

determining whether a future position of the first vehicle occupies the first blindspot;

if so, transmitting a message to the second vehicle including a predicted occupation time;

associating a second, different blindspot with the iterated future position of the second vehicle.

14. The method of claim 13 , comprising adjusting a dimension of the first blindspot, but not the second blindspot, based on a future property of the first vehicle.

15. A method of controlling a host vehicle, the host vehicle comprising motor(s), sensors, processor(s), the method comprising, via the processor(s):

iterating a series of future properties, comprising future positions, of nearby first and second vehicles based on determined current properties thereof;

associating a blindspot with an iterated future position of the second vehicle;

determining whether a future position of the first vehicle occupies the blindspot;

if so, transmitting a message to the second vehicle including a predicted occupation time;

generating the predicted occupation time based on a future time when the first vehicle is predicted to occupy the blindspot.

16. The method of claim 15 , comprising generating the predicted occupation time based on the future time by subtracting a predetermined amount from the future time.

17. The method of claim 16 , comprising calculating the subtracted predetermined amount based on a future property of the first vehicle.

18. The method of claim 17 , wherein the future property of the first vehicle is a predicted speed of the first vehicle during an iteration preceding the iteration where the first vehicle occupies the blindspot.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 7, 2017
From: MILLER, KENNETH JAMES
To: FORD GLOBAL TECHNOLOGIES, LLC
Reel/Frame 041487/0655 →
Continuity (1)
Related Publication 20180174458A1 · Jun 21, 2018