EP-4738290-A1 - CONTROL METHOD AND APPARATUS FOR VEHICLE

EP4738290A1EP 4738290 A1EP4738290 A1EP 4738290A1EP-4738290-A1

Abstract

A control apparatus for a vehicle according to one embodiment may include a vehicle position detection unit that detects a position of a vehicle, a bad condition environment recognition unit that recognizes whether a surrounding environment of the vehicle is in bad condition, and a control unit that controls at least a part of the vehicle based on whether the surrounding environment is in bad condition, and the control unit may perform control to clean at least a part of a sensor or a photographing device mounted on the vehicle, or perform control to warn a user of the vehicle when the surrounding environment of the vehicle is in bad condition.

Inventors

JIN, MOON YONG

Assignees

Hyundai Mobis Co., Ltd.

Dates

Publication Date: 20260506
Application Date: 20250730

Claims (10)

A control apparatus for a vehicle, comprising: a processor configured to: detect a position of a vehicle; recognize whether a surrounding environment of the vehicle is in bad condition; and control at least a part of the vehicle based on whether the surrounding environment is in bad condition, wherein the processor performs control to clean at least a part of a sensor or a photographing device mounted on the vehicle, or performs control to warn a user of the vehicle when the surrounding environment of the vehicle is in bad condition.
The control apparatus of claim 1, wherein the processor is further configured to detect the position of the vehicle based on a lane of a road on which the vehicle is currently positioned.
The control apparatus of claim 2, wherein the processor is further configured to recognize the surrounding environment of the vehicle as a bad condition environment when the lane of the road on which the vehicle is currently positioned is not recognized or the position of the vehicle is not detected.
The control apparatus of any one of claims 1 to 3, wherein the processor is further configured to recognize the surrounding environment of the vehicle as a bad condition environment when it is determined that a captured image acquired from the photographing device mounted on the vehicle is in a low light or bad condition using deep learning.
The control apparatus of any one of claims 1 to 4, wherein the processor is configured to control a driving assist unit when a lane of a road on which the vehicle is currently positioned is recognized or the position of the vehicle is detected.
A control method for a vehicle, comprising: detecting a position of a vehicle; recognizing whether a surrounding environment of the vehicle is in bad condition; and controlling at least a part of the vehicle based on whether the surrounding environment is in bad condition, wherein, the controlling comprises performing control to clean at least a part of a sensor or a photographing device mounted on the vehicle, or performing control to warn a user of the vehicle when the surrounding environment of the vehicle is in bad condition.
The control method of claim 6, wherein, the detecting comprises detecting the position of the vehicle based on a lane of a road on which the vehicle is currently positioned.
The control method of claim 7, wherein, the recognizing comprises recognizing the surrounding environment of the vehicle as a bad condition environment when the lane of the road on which the vehicle is currently positioned is not recognized or the position of the vehicle is not detected.
The control method of any one of claims 6 to 8, wherein, the recognizing comprises recognizing the surrounding environment of the vehicle as a bad condition environment when it is determined that a captured image acquired from the photographing device mounted on the vehicle is in a low light or bad condition using deep learning.
The control method of any one of claims 6 to 9, wherein, the controlling comprises controlling a driving assist unit when a lane of a road on which the vehicle is currently positioned is recognized or the position of the vehicle is detected.

Description

CROSS-REFERENCE TO RELATED APPLICATION This application claims priority to and the benefit of Korean Patent Application No. 2024-0151042, filed on October 30, 2024, the disclosure of which is incorporated herein by reference in its entirety. BACKGROUND 1. Field of the Invention One embodiment of the present invention relates to a control method and apparatus for a vehicle, and more particularly, to a method of improving highway driving assistance through surround view monitoring (SVM) camera lane recognition when driving at night in rainy weather. 2. Discussion of Related Art When a vehicle is traveling at night, since lanes on the road may not be recognized in bad weather conditions, the risk of accidents may increase. In particular, when at night in rainy weather, since the lanes are often not visible due to low light and ground light reflection, in a bad condition environment, the risk of accidents due to lane departure may increase. In order to solve these problems, it is intended to suggest a method of improving driving assistance through surround view monitoring (SVM) camera lane recognition when driving at night in rainy weather by utilizing a highway driving assist (HDA) function and a lane recognition function. SUMMARY OF THE INVENTION According to an aspect of the present invention, there is provided a control apparatus for a vehicle including a vehicle position detection unit that detects a position of a vehicle, a bad condition environment recognition unit that recognizes whether a surrounding environment of the vehicle is in bad condition, and a control unit that controls at least a part of the vehicle based on whether the surrounding environment is in bad condition, in which the control unit performs control to clean at least a part of a sensor or a photographing device mounted on the vehicle, or performs control to warn a user of the vehicle when the surrounding environment of the vehicle is in bad condition. According to one embodiment, the vehicle position detection unit may detect the position of the vehicle based on a lane of a road on which the vehicle is currently positioned. According to one embodiment, the bad condition environment recognition unit may recognize the surrounding environment of the vehicle as a bad condition environment when the lane of the road on which the vehicle is currently positioned is not recognized or the position of the vehicle is not detected. According to one embodiment, the bad condition environment recognition unit may recognize the surrounding environment of the vehicle as a bad condition environment when it is determined that a captured image acquired from the photographing device mounted on the vehicle is in a low light or bad condition using deep learning. According to one embodiment, the control unit may control a driving assist unit when a lane of a road on which the vehicle is currently positioned is recognized or the position of the vehicle is detected. According to an aspect of the present invention, there is provided a control method for a vehicle, including detecting a position of a vehicle, recognizing whether a surrounding environment of the vehicle is in bad condition, and controlling at least a part of the vehicle based on whether the surrounding environment is in bad condition, in which, in the controlling, control is performed to clean at least a part of a sensor or a photographing device mounted on the vehicle, or control is performed to warn a user of the vehicle when the surrounding environment of the vehicle is in bad condition. According to one embodiment, in the detecting, the position of the vehicle may be detected based on a lane of a road on which the vehicle is currently positioned. According to one embodiment, in the recognizing, the surrounding environment of the vehicle may be recognized as a bad condition environment when the lane of the road on which the vehicle is currently positioned is not recognized or the position of the vehicle is not detected. According to one embodiment, in the recognizing, the surrounding environment of the vehicle may be recognized as a bad condition environment when it is determined that a captured image acquired from the photographing device mounted on the vehicle is in a low light or bad condition using deep learning. According to one embodiment, in the controlling, a driving assist unit may be controlled when a lane of a road on which the vehicle is currently positioned is recognized or the position of the vehicle is detected. BRIEF DESCRIPTION OF THE DRAWINGS The above and other objects, features and advantages of the present invention will become more apparent to those of ordinary skill in the art by describing exemplary embodiments thereof in detail with reference to the accompanying drawings, in which: FIG. 1 is a block diagram of a control apparatus for vehicles according to one embodiment;FIG. 2 is a flowchart of a control method for vehicles according to one embodiment;FIG. 3 is a diagra