Technologies for customized crowd-sourced features, automated safety and quality assurance with a technical computing environment

• US 10,521,215 B2
• Filed: 12/08/2016
• Issued: 12/31/2019
• Est. Priority Date: 12/10/2015
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Zander, Justyna
• Primary Examiner(s): Coyer, Ryan D.
• Application Number:
  US15/372,979
• Publication Number:
  US 20170168809A1
• Time in Patent Office: 1,118 Days
• Field of Search: 717168
• CPC Class Codes: G06F 8/35 model driven
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57

Abstract

Technologies for customized crowd-sourced update and validation include a computing device having a technical computing environment (TCE)-based engine that receives user information from one or more user devices, executes a TCE model with the user information to generate behavior data of the TCE model, and generates a software update for the TCE model based on the behavior data. The TCE model may be a model for an autonomous system such as a self-driving vehicle, and the software update may be a safety update for the autonomous vehicle. The user information may include sensor data, such as distance detection sensor data. The computing device may transmit an incentive such as a software update, feature update, or safety software update to the user devices. The computing device may also receive information associated with the TCE model from one or more developer devices. Other embodiments are described and claimed.

Claims

1. A computing device for crowd-sourced update and validation, the computing device comprising a technical computing environment-based engine to:

receive user information from one or more user devices, wherein to receive the user information comprises to receive a user request, wherein the user request requests information;

determine the information requested by the user request;

select a technical computing environment model based on the information requested by the user request;

execute the technical computing environment model within a technical computing environment with the user information to generate behavior data of the technical computing environment model, wherein the technical computing environment comprises a dynamically typed array-based programming language, and wherein to execute the technical computing environment model further comprises to execute the technical computing environment model with the information requested by the user request in response to selection of the technical computing environment model;

generate a software update for the technical computing environment model based on the behavior data of the technical computing environment model; and

transmit an incentive to the one or more user devices in response to generation of the software update.

2. The computing device of claim 1, wherein the user information comprises sensor data.

3. The computing device of claim 2, wherein the sensor data comprises distance detection sensor data.

4. The computing device of claim 1, wherein the incentive comprises the software update.

5. The computing device of claim 1, wherein the incentive comprises a safety software update.

6. The computing device of claim 1, wherein:

the technical computing environment-based engine is further to receive, from one or more developer devices, information associated with the technical computing environment model; and

to execute the technical computing environment model with the user information comprises to execute the technical computing environment model in response to receipt of the information associated with the technical computing environment model.

7. The computing device of claim 1, further comprising a repository to store the behavior data.

8. The computing device of claim 7, wherein:

the technical computing environment-based engine is further to select the technical computing environment model from the repository based on the user information; and

to execute the technical computing environment model comprises to execute the technical computing environment model in response to selection of the technical computing environment model.

9. The computing device of claim 1, further comprising a technical computing environment-based engine user interface to:

divide the user request into one or more request elements, wherein the one or more request elements comprise a feature request;

process the one or more request elements; and

transform the user request into a second request in response to processing of the one or more request elements;

wherein to execute the technical computing environment model further comprises to execute the technical computing environment model with the second request.

10. The computing device of claim 1, wherein the technical computing environment model comprises a model of an autonomous system, the software update comprises a safety update for the autonomous system, and the incentive comprises a safety update for the autonomous system.

11. The computing device of claim 10, wherein the autonomous system comprises a self-driving vehicle.

12. A method for crowd-sourced update and validation, the method comprising:

receiving, by a computing device, user information from one or more user devices wherein receiving the user information comprises receiving a user request, wherein the user request requests information;

determining, by the computing device, the information requested by the user request;

selecting, by the computing device, a technical computing environment model based on the information requested by the user request;

executing, by the computing device, the technical computing environment model within a technical computing environment with the user information to generate behavior data of the technical computing environment model, wherein the technical computing environment comprises a dynamically typed array-based programming language, and wherein executing the technical computing environment model further comprises executing the technical computing environment model with the information requested by the user request in response to selecting the technical computing environment model;

generating, by the computing device, a software update for the technical computing environment model based on the behavior data of the technical computing environment model; and

transmitting, by the computing device, an incentive to the one or more user devices in response to generating the software update.

13. The method of claim 12, wherein receiving the user information comprises receiving sensor data.

14. The method of claim 12, wherein transmitting the incentive comprises transmitting the software update.

15. The method of claim 12, wherein transmitting the incentive comprises transmitting a safety software update.

16. The method of claim 12, wherein:

executing the technical computing environment model comprises executing a model of an autonomous system;

generating the software update comprises generating a safety update for the autonomous system; and

transmitting the incentive to the one or more user devices comprises transmitting the safety update for the autonomous system to the one or more user devices.

17. The method of claim 16, wherein the autonomous system comprises a self-driving vehicle.

18. One or more non-transitory, computer-readable storage media comprising a plurality of instructions that in response to being executed cause a computing device to:

receive user information from one or more user device, wherein to receive the user information comprises to receive a user request, wherein the user request requests information;

determine the information requested by the user request;

select a technical computing environment model based on the information requested by the user request;

execute the technical computing environment model within a technical computing environment with the user information to generate behavior data of the technical computing environment model, wherein the technical computing environment comprises a dynamically typed array-based programming language, and wherein to execute the technical computing environment model further comprises to execute the technical computing environment model with the information requested by the user request in response to selecting the technical computing environment model;

generate a software update for the technical computing environment model based on the behavior data of the technical computing environment model; and

transmit an incentive to the one or more user devices in response to generating the software update.

19. The one or more non-transitory, computer-readable storage media of claim 18, wherein to receive the user information comprises to receive sensor data.

20. The one or more non-transitory, computer-readable storage media of claim 18, wherein to transmit the incentive comprises to transmit the software update.

21. The one or more non-transitory, computer-readable storage media of claim 18, wherein to transmit the incentive comprises to transmit a safety software update.

22. The one or more non-transitory, computer-readable storage media of claim 18, wherein:

to execute the technical computing environment model comprises to execute a model of an autonomous system;

to generate the software update comprises to generate a safety update for the autonomous system; and

to transmit the incentive to the one or more user devices comprises to transmit the safety update for the autonomous system to the one or more user devices.

23. The one or more non-transitory, computer-readable storage media of claim 22, wherein the autonomous system comprises a self-driving vehicle.