IP Library Granted Patent US 11,188,090
Granted Patent B2
US 11,188,090 · App. 16/425,445 · Granted Nov 30, 2021

Autonomous driving control apparatus, vehicle having the same and method for controlling vehicle

Inventors: Changwoo Ha (Seoul, KR); Bong Ju Kim (Yongin-si, KR); Ho-Jun Kim (Seoul, KR); Hochoul Jung (Seongnam-si, KR)
Assignees: Hyundai Motor Company; Kia Motors Corporation; Hyundai Autron Co., Ltd.
G05D1/0246G05D1/0088G05D1/0214G06K9/00805G06K9/00832G06K9/4647G08G1/096855G05D2201/0213H04N5/247
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Quick Facts
Patent No.
US 11,188,090
App. No.
16/425,445
Granted
Nov 30, 2021
Kind
B2
Abstract

A vehicle includes a first image obtainer configured to obtain an external image; a second image obtainer configured to obtain an internal image; an obstacle detector configured to detect obstacles; a controller configured to control autonomous driving based on obstacle detection information detected by the obstacle detector and image data obtained by the first image obtainer and encrypt brightness data among the image data obtained by the first and second image obtainers during the control of the autonomous driving; and a storage configured to store the encrypted brightness data.

Claims (35)

1. An autonomous driving control apparatus comprising:

a communicator configured to communicate with an image obtainer for obtaining an external image of the surroundings of a vehicle and an internal image of the vehicle and communicate with an obstacle detector for detecting obstacles;

a controller configured to control autonomous driving based on obstacle detection information detected by the obstacle detector and image data obtained by the image obtainer and encrypt brightness data among the image data obtained by the image obtainer during the control of the autonomous driving; and

a storage configured to store the encrypted brightness data,

wherein the storage comprises a first memory and a second memory, and

wherein the controller is configured to determine whether an accident risk condition is determined based on the obstacle detection information detected by the obstacle detector during the control of the autonomous driving, control the memory to store the encrypted brightness data in the first memory when it is determined that the accident risk condition is not present, and control the second memory to store the encrypted brightness data in the second memory when it is determined that the accident risk condition is present.

2. The autonomous driving control apparatus according to claim 1 , wherein the controller is configured to identify a region of interest (ROI) from the image data, identify the sizes of macroblocks divided into different sizes based on the brightness and chrominance of the image data, and encrypt the brightness data of the macroblocks smaller than a predetermined size among the macroblocks within the identified ROI.

3. The autonomous driving control apparatus according to claim 1 , wherein the first memory is a volatile memory, and

wherein the second memory is a non-volatile memory.

4. The autonomous driving control apparatus according to claim 1 , wherein the controller is configured to identify a region of interest (ROI) from the image data and encrypt the brightness data of the identified ROI.

5. The autonomous driving control apparatus according to claim 1 , wherein the controller is configured to identify the sizes of macroblocks divided into different sizes based on the brightness and chrominance of the image data and encrypt the brightness data of the macroblocks smaller than a predetermined size among the identified macroblocks.

6. The autonomous driving control apparatus according to claim 1 , wherein the communicator is configured to communicate with a server, and

wherein the controller is configured to determine whether an accident risk condition is determined based on the obstacle detection information detected by the obstacle detector during the control of the autonomous driving and control the communicator to store the encrypted brightness data in the server when it is determined that the accident risk condition is present.

7. A vehicle comprising:

a first image obtainer configured to obtain an external image;

a second image obtainer configured to obtain an internal image;

an obstacle detector configured to detect obstacles;

a controller configured to control autonomous driving based on obstacle detection information detected by the obstacle detector and image data obtained by the first image obtainer and encrypt brightness data among the image data obtained by the first and second image obtainers during the control of the autonomous driving; and

a storage configured to store the encrypted brightness data,

wherein the storage comprises a first memory and a second memory, and

wherein the controller is configured to determine whether an accident risk condition is determined based on the obstacle detection information detected by the obstacle detector during the control of the autonomous driving, control the memory to store the encrypted brightness data in the first memory when it is determined that the accident risk condition is not present, and control the second memory to store the encrypted brightness data in the second memory when it is determined that the accident risk condition is present.

8. The vehicle according to claim 7 , wherein the controller is configured to identify a region of interest (ROI) from the image data, identify the sizes of macroblocks divided into different sizes based on the brightness and chrominance of the image data, and encrypt the brightness data of the macroblocks smaller than a predetermined size among the macroblocks within the identified ROI.

9. A method for controlling a vehicle comprising:

controlling autonomous driving of the vehicle based on an external image obtained by a first image obtainer and obstacle detection information detected by an obstacle detector when the vehicle is in an autonomous driving mode;

determining whether an accident risk condition is determined based on the obstacle detection information detected by the obstacle detector during the control of the autonomous driving;

encrypting and storing external image data of the vehicle obtained by the first image obtainer and internal image data of the vehicle obtained by a second image obtainer, respectively, when it is determined that the accident risk condition is present;

identifying a braking force, an acceleration amount, and a steering angle of the vehicle when it is determined that a current position is a highway;

storing the encrypted image data in a first memory when a condition that the identified braking force is equal to or greater than a reference braking force, a condition that the identified acceleration amount is equal to or greater than a reference acceleration amount, and a condition that the identified steering angle is equal to or greater than a reference steering angle are not all satisfied; and

storing the encrypted image data in the first memory when at least one of the conditions is satisfied.

10. The method according to claim 9 , wherein the encrypting of the external image data of the vehicle comprises: identifying a region of interest (ROI) from the external image data of the vehicle; identifying the sizes of macroblocks divided into different sizes based on the brightness and chrominance of the image data; and encrypting brightness data of the macroblocks smaller than a predetermined size among the macroblocks within the identified ROI.

11. The method according to claim 9 , wherein the encrypting of the external image data comprises:

identifying a direction in which the accident risk condition occurs when it is determined that the accident risk condition is present; and

encrypting the brightness data of the image data obtained from at least one camera installed adjacent to the direction corresponding to the identified direction among first, second, third, and fourth cameras that obtain external images of the front, rear, left, and right.

12. The method according to claim 9 , further comprising:

transmitting the encrypted image data in a server when it is determined that the accident risk condition is present.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 17, 2021
From: HYUNDAI AUTRON CO., LTD.
To: HYUNDAI AUTOEVER CORP.
Reel/Frame 057205/0531 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 29, 2019
From: HA, CHANGWOO; KIM, BONG JU; KIM, HO-JUN; JUNG, HOCHOUL
To: HYUNDAI MOTOR COMPANY; KIA MOTORS CORPORATION; HYUNDAI AUTRON CO., LTD.
Reel/Frame 049310/0784 →
Priority Claims (1)
KR 10-2018-0168130 · Dec 24, 2018 · national
Continuity (1)
Related Publication 20200201349A1 · Jun 25, 2020