IP Library Granted Patent US 10,586,448
Granted Patent B2
US 10,586,448 · App. 16/000,634 · Granted Mar 10, 2020

Hazard mitigation for access to passenger vehicles

Inventors: Gautham Sholingar (Sunnyvale, CA); Jinesh J Jain (Palo Alto, CA)
Assignee: FORD GLOBAL TECHNOLOGIES, LLC
G08G1/096725B60Q9/00B60W50/14G05D1/0055G05D1/0231G05D1/0242G05D1/0257G05D1/0278G08G1/096775B60W2050/143B60W2050/146B60W2420/40B60W2420/42B60W2420/52B60W2550/12B60W2550/147B60W2550/406
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Quick Facts
Patent No.
US 10,586,448
App. No.
16/000,634
Granted
Mar 10, 2020
Kind
B2
Abstract

A method for mitigating hazards to access to passenger vehicles. The method includes detecting, with one or more sensors, a hazardous condition in an area proximate a vehicle. A processor may calculate a safety metric corresponding to the hazardous condition and analyze the safety metric relative to a predetermined threshold. A vehicle occupant may be automatically notified of the hazardous condition in the event the safety metric satisfies the predetermined threshold. A corresponding system is also claimed herein.

Claims (30)

1. A method, comprising:

detecting, via at least one sensor, a hazardous condition in a pedestrian travel path external to and proximate a stationary vehicle;

calculating, via a processor, a safety metric corresponding to the hazardous condition;

analyzing, via the processor, the safety metric relative to a predetermined threshold; and

automatically notifying a vehicle occupant of the hazardous condition in the event the safety metric satisfies the predetermined threshold.

2. The method of claim 1 , further comprising sensing, via the at least one sensor, an external environment of the vehicle.

3. The method of claim 2 , wherein the at least one sensor is selected from the group consisting of a lidar sensor, a radar sensor, a camera sensor, an infrared sensor, an ultrasonic sensor, and a global navigation satellite system sensor.

4. The method of claim 1 , wherein the area comprises a region substantially adjacent to at least one of a door and a trunk of the vehicle.

5. The method of claim 1 , further comprising identifying, via the processor, the hazardous condition.

6. The method of claim 5 , wherein the hazardous condition comprises at least one of rain, sleet, snow, ice, rocks, dirt, leaves, a spill, an oil leak, an uneven surface, a blocked surface, and an obstacle.

7. The method of claim 1 , wherein calculating the safety metric comprises assigning a score to the hazardous condition and cumulating the score for more than one hazardous condition.

8. The method of claim 7 , further comprising adjusting the score in response to a position of the hazardous condition relative to a door of the vehicle.

9. The method of claim 1 , wherein automatically notifying the vehicle occupant comprises utilizing at least one of a heads-up display, a text message, an audible notification, and an email message.

10. The method of claim 1 , further comprising automatically repositioning the vehicle to avoid the hazardous condition.

11. The method of claim 1 , wherein the vehicle is an autonomous vehicle.

12. A system comprising:

at least one processor; and

at least one memory device coupled to the at least one processor and storing instructions for execution on the at least one processor, the instructions causing the at least one processor to:

detect, via at least one sensor, a hazardous condition in a pedestrian travel path external to and proximate a stationary vehicle;

calculate a safety metric corresponding to the hazardous condition;

analyze the safety metric relative to a predetermined threshold; and

notify a vehicle occupant of the hazardous condition in the event the safety metric satisfies the predetermined threshold.

13. The system of claim 12 , wherein the instructions further cause the at least one processor to sense, via the at least one sensor, an external environment of the vehicle.

14. The system of claim 12 , wherein the area comprises a region substantially adjacent to at least one of a door and a trunk of the vehicle.

15. The system of claim 12 , wherein the instructions further cause the at least one processor to identify the hazardous condition.

16. The system of claim 12 , wherein calculating the safety metric comprises assigning a score to the hazardous condition and cumulating the score for more than one hazardous condition.

17. The system of claim 16 , further comprising adjusting the score in response to a position of the hazardous condition relative to a door of the vehicle.

18. The system of claim 12 , wherein automatically notifying the vehicle occupant comprises at least one of a heads-up display, a text message, an audible notification, and an email message.

19. The system of claim 12 , wherein the instructions further cause the at least one processor to automatically reposition the vehicle to avoid the hazardous condition.

20. The system of claim 12 , wherein the vehicle is an autonomous vehicle.

Assignments (2)
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNOR'S EXECUTION DATES PREVIOUSLY RECORDED ON REEL 045999 FRAME 0208. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Jul 13, 2018
From: SHOLINGAR, GAUTHAM; JAIN, JINESH J
To: FORD GLOBAL TECHNOLOGIES, LLC
Reel/Frame 046549/0137 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 6, 2018
From: SHOLINGAR, GAUTHAM; JAIN, JINESH J
To: FORD GLOBAL TECHNOLOGIES, LLC
Reel/Frame 045999/0208 →
Continuity (1)
Related Publication 20190371171A1 · Dec 5, 2019