Apparatus and method for determining error of vehicle

Patent metadata

Field	Value
Publication number	US-11908252-B2
Application number	US-202016846603-A
Country	US
Kind code	B2
Filing date	Apr 13, 2020
Priority date	Dec 4, 2019
Publication date	Feb 20, 2024
Grant date	Feb 20, 2024

Abstract

An apparatus for determining failure of a vehicle is provided. The apparatus includes a sensor configured to obtain autonomous driving information, and a controller configured to compare the autonomous driving information obtained during autonomous driving with a determination criterion set as failure sound information and to determine whether the failure occurs, based on the comparison result.

First claim

What is claimed is:

1. An apparatus for determining failure of a vehicle, the apparatus comprising:
a sensor configured to obtain autonomous driving information; and
a controller configured to compare the autonomous driving information obtained during autonomous driving with a determination criterion set as failure sound information and to determine whether the failure occurs based on the comparison result,
wherein the controller is configured to calculate a priority by respectively assigning weights to two or more precision diagnosis sections, when the two or more precision diagnosis sections are included in an autonomous driving section;
wherein the autonomous driving section includes a road section performing autonomous driving of the vehicle;
wherein the controller is configured to increase reliability of a result determined based on autonomous driving information obtained in precision diagnosis section having high priority;
wherein the controller is configured to set at least one of a straight fixed-speed section, a straight deceleration section, a straight acceleration section, a rapid braking section, a rapid acceleration section, a steering section, a bump section, or a stop state as the precision diagnosis section;
wherein the controller is configured to output a warning message for restricting the driving of vehicle and checking the vehicle when the controller determines that the vehicle fails; and
wherein the controller is configured to determine that the vehicle is capable of normally driving when the controller does not determine that the vehicle fails.

2. The apparatus of claim 1 , wherein the controller is configured to collect learning autonomous driving information and perform learning based on the collected learning autonomous driving information to generate the failure sound information.

3. The apparatus of claim 2 , wherein the controller is configured to transmit the learning autonomous driving information to a server and receive learned failure sound information from the server.

4. The apparatus of claim 1 , wherein the controller is configured to generate new failure sound information by performing learning based on collected autonomous driving information, when the autonomous driving information obtained in a section, in which the vehicle is repeatedly driving a predetermined number of times, is collected after the failure sound information is set as the determination criterion.

5. The apparatus of claim 4 , wherein the controller is configured to transmit the collected autonomous driving information to a server and receive newly learned failure sound information from the server, when the autonomous driving information obtained in the section, in which the vehicle is repeatedly driving the predetermined number of times, is collected.

6. The apparatus of claim 5 , wherein the controller is configured to update the determination criterion based on the newly learned failure sound information.

7. The apparatus of claim 1 , wherein the controller is configured to set the precision diagnosis sections based on road information and traffic information.

8. The apparatus of claim 1 , wherein the controller is configured to set a road section within a predetermined distance based on a garage as the precision diagnosis section in a case of a commercial vehicle.

9. The apparatus of claim 8 , wherein the controller is configured to compare the determination criterion with autonomous driving information obtained while the commercial vehicle is driving in the precision diagnosis section at a point in time when the commercial vehicle leaves from the garage at a start of business and generate a primary determination result for determining whether the failure occurs in the case of the commercial vehicle.

10. The apparatus of claim 9 , wherein the controller is configured to compare the determination criterion with autonomous driving information obtained while the commercial vehicle is driving in the precision diagnosis section at a point in time when the commercial vehicle returns to the garage at an end of business and generate a secondary determination result for determining whether the failure occurs in the case of the commercial vehicle.

11. The apparatus of claim 10 , wherein the controller is configured to compare the autonomous driving information obtained while the commercial vehicle is driving in the precision diagnosis section at the point in time when the commercial vehicle leaves from the garage at the start of business with the autonomous driving information obtained while the commercial vehicle is driving in the precision diagnosis section at the point in time when the commercial vehicle returns to the garage at the end of business, and generate a tertiary determination result of determining whether the failure occurs, based on the comparison result, in the case of the commercial vehicle.

12. The apparatus of claim 11 , wherein the controller is configured to determine whether the commercial vehicle fails based on the primary determination result, the secondary determination result, and the tertiary determination result.

13. The apparatus of claim 8 , wherein the controller is configured to compare the determination criterion with autonomous driving information obtained while the commercial vehicle is driving in an autonomous driving section at a point in time when the commercial vehicle leaves from the garage at a start of business and generate a primary determination result for determining whether the failure occurs, in the case of the commercial vehicle.

14. The apparatus of claim 13 , wherein the controller is configured to compare the determination criterion with autonomous driving information obtained while the commercial vehicle is driving in the autonomous driving section at a point in time when the commercial vehicle returns to the garage at an end of business and generate a secondary determination result for determining whether the failure occurs in the case of the commercial vehicle.

15. The apparatus of claim 14 , wherein the controller is configured to compare the autonomous driving information obtained while the commercial vehicle is driving in the autonomous driving section at the point in time when the commercial vehicle leaves from the garage at the start of business with the autonomous driving information obtained while the commercial vehicle is driving in the autonomous driving section at the point in time when the commercial vehicle returns to the garage at the end of business, and generate a tertiary determination result of determining whether the failure occurs, based on the comparison result, in the case of the commercial vehicle.

16. The apparatus of claim 15 , wherein the controller is configured to determine whether the commercial vehicle fails based on the primary determination result, the secondary determination result, and the tertiary determination result.

17. A method for operating a vehicle, the method comprising:
obtaining, by a controller, autonomous driving information during autonomous driving;
comparing, by the controller, the autonomous driving information with a determination criterion set as failure sound information;
determining, by the controller, whether the failure occurs based on the comparison result;
wherein the controller is configured to calculate a priority by respectively assigning weights to two or more precision diagnosis sections, when the two or more precision diagnosis sections are included in the autonomous driving section;
wherein the autonomous driving section include road section performing autonomous d

Assignees

• Hyundai Motor Co Ltd
• Kia Motors Corp

Inventors

• Yu Min Sang
• Jeong Jin Su
• Choi Eun Young
• Seong Ki Seok
• Ham Hyeong Jin
• Pyun Rosali Sun
• Yang Dong Il
• Kim Woo Jin

Classifications

• G06N3/09

  Supervised learning · CPC title

• G07C5/0833 Primary

  using audio means · CPC title

• G06N3/08

  Learning methods · CPC title

• G07C5/008

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

• G07C5/0808 Primary

  Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005) · CPC title