Adaptive signal transmission which can learn the effectiveness of a signal transmission action

• US 10,300,850 B2
• Filed: 12/04/2017
• Issued: 05/28/2019
• Est. Priority Date: 01/31/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Brew, Kevin Wayne, Gordon, Michael S., Kozloski, James Robert, Kundu, Ashish, Pickover, Clifford A.
• Primary Examiner(s): Feild, Joseph H
• Assistant Examiner(s): Akhter, Sharmin
• Application Number:
  US15/830,138
• Publication Number:
  US 20180215311A1
• Time in Patent Office: 540 Days
• Field of Search: 3404255, 340435, 340902-906, 3405721, 3405731, 3403841
• CPC Class Codes: B60Q 5/005 automatically actuated
• CPC Class Codes: G10K 15/02 Synthesis of acoustic waves synthesis of speech G10L13/00

Abstract

A signal transmission control method, system, and computer program product, include an advanced vehicle signal transmission control according to a context of the vehicle where a differential signal transmission action is performed based on the context.

Claims

1. A computer-implemented signal transmission control method, the method comprising:

detecting a context of a subject vehicle via a sensor collecting data related to the subject vehicle;

determining a type of the subject vehicle via a sensor, the type being one of a self-driving-vehicle (SDV) and a human controlled vehicle; and

controlling a signal transmission of the vehicle to take a differential signal transmission action via a signal transmission device of the vehicle based on the context of the vehicle and the type of the vehicle to ameliorate a risk related to the context,

wherein the differential signal transmission action when the determining determines the type of the subject vehicle is the SDV is different than the differential signal transmission action when the determining determines the type of the subject vehicle is the human controlled vehicle.

2. The computer-implemented method of claim 1, wherein the context is based on an environment surrounding the vehicle.

3. The computer-implemented method of claim 1, wherein the context is selected from a group consisting of:

a subject vehicle-related factor;

a subject-vehicle-to-related-vehicle related factor; and

a passenger-related factor.

4. The computer-implemented method of claim 1, wherein the context is selected from a group consisting of:

a type of animal in a vicinity of the vehicle and a history of the type of animal in a location of the vehicle; and

a characteristic of a pedestrian in the vicinity of the vehicle.

5. The computer-implemented method of claim 1, wherein the differential signal transmission action includes modifying a sound characteristic of the signal transmission selected from a group consisting of:

a timbre;

an amplitude;

a tristimulus;

a speed of onset; and

a frequency of the signal transmission to ultrasonic.

6. The computer-implemented method of claim 1, wherein said detecting a context of the subject vehicle includes detecting an emergency and said controlling controls the differential signal transmission action to emit a siren sound, in response to said detecting.

7. The computer-implemented method of claim 1, wherein said detecting a context of the subject vehicle further comprises detecting a temporal change and said controlling further comprises modifying the differential signal transmission action, in response to said detecting.

8. The computer-implemented method of claim 1, wherein the differential signal transmission action includes a non-audible action.

9. The computer-implemented method of claim 1, wherein the controlling modifies the differential signal transmission action based on a self-driving vehicle being a second vehicle in the detected context.

10. The computer-implemented method of claim 1, wherein said detecting a context of the subject vehicle further comprises detecting if at least one of the subject vehicle is a self-driving vehicle or a human-driven vehicle;

wherein said controlling further comprises modifying the differential signal transmission action, in response to said detecting.

11. The computer-implemented method of claim 10, wherein the detecting further comprises detecting a relationship between the subject vehicle and a detected vehicle and said modifying is in response to said detecting.

12. The computer-implemented method of claim 1, embodied in a cloud-computing environment.

13. A computer program product for signal transmission control, the computer program product comprising a non-transitory computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform:

detecting a context of a subject vehicle via a sensor collecting data related to the subject vehicle;

determining a type of the subject vehicle via a sensor, the type being one of a self-driving-vehicle (SDV) and a human controlled vehicle; and

controlling a signal transmission of the vehicle to take a differential signal transmission action via a signal transmission device of the vehicle based on the context of the vehicle and the type of the vehicle to ameliorate a risk related to the context,

wherein the differential signal transmission action when the determining determines the type of the subject vehicle is the SDV is different than the differential signal transmission action when the determining determines the type of the subject vehicle is the human controlled vehicle.

14. The computer program product of claim 13, wherein the context is based on an environment surrounding the vehicle.

15. The computer program product of claim 13, wherein the context is selected from a group consisting of:

a subject vehicle-related factor;

a subject-vehicle-to-related-vehicle related factor; and

a passenger-related factor.

16. The computer program product of claim 13, wherein the context is selected from a group consisting of:

a type of animal in a vicinity of the vehicle and a history of the type of animal in a location of the vehicle; and

a characteristic of a pedestrian in the vicinity of the vehicle.

17. The computer program product of claim 13, wherein the differential signal transmission action includes modifying a sound characteristic of the signal transmission selected from a group consisting of:

a timbre;

an amplitude;

a tristimulus;

a speed of onset; and

a frequency of the signal transmission to ultrasonic.

18. The computer program product of claim 13, wherein said detecting a context of the subject vehicle includes detecting an emergency and said controlling controls the differential signal transmission action to emit a siren sound, in response to said detecting.

19. A signal transmission control system, comprising:

a processor; and

a memory operably coupled to the processor, the memory storing program instructions that when executed cause the system to;

detecting a context of a subject vehicle via a sensor collecting data related to the subject vehicle;

determining a type of the subject vehicle via a sensor, the type being one of a self-driving-vehicle (SDV) and a human controlled vehicle; and

controlling a signal transmission of the vehicle to take a differential signal transmission action via a signal transmission device of the vehicle based on the context of the vehicle and the type of the vehicle to ameliorate a risk related to the context,

wherein the differential signal transmission action when the determining determines the type of the subject vehicle is the SDV is different than the differential signal transmission action when the determining determines the type of the subject vehicle is the human controlled vehicle.

20. The system of claim 19, embodied in a cloud-computing environment.