Hyundai Motor Company

Kia Motors Corporation

Kia Corporation

Hyundai Mobis Co., Ltd.

Myongji University Industry and Academia Cooperation Foundation

Sam Yong Kim

Byoung Joon Lee

Jin Kwon Kim

Seong Sook Ryu

Ho Choul Jung

Hwal Ly Lee

Yu Jin Yun

Woo Young Lee

Dae Hwan Kim

Seok Joon Kim

Jong Pil Kim

Kyoung Jun Lee

Ki Nam Kim

Dong Gu Lee

Do Hyun Kim

Jung Hyun Lee

Byung Kwon Lee

June Young Lee

Hyeoun Dong Lee

Donghoon Koo

Tack Hwan Kwon

A vehicle includes a controller and a first camera, a second camera, and a third camera. The first camera is installed in the vehicle to have a first field of view and is configured to obtain first image data for the first field of view. The second camera is installed in the vehicle to have a second field of view and is configured to obtain second image data for the second field of view. The third camera is installed in the vehicle to have a third field of view and is configured to obtain third image data for the third field of view. The controller is configured to perform vehicle dynamic compensation (VDC) based on a result of processing any one of the first image data, the second image data, and the third image data and to perform automated online calibration (AOC) based on a result of the VDC to determine abnormality of the cameras.

Vehicle and method of controlling the same

An autonomous vehicle for blind people is provided. The autonomous vehicle includes a riding and alighting point search device that searches for a riding point at which a user will ride and an alighting point at which the user will alight, in response to call information received from a terminal of the user, a passenger recognition device that recognizes the user who will ride in the vehicle at the riding point, and an autonomous driving controller that controls an autonomous driving operation of the vehicle.

Autonomous vehicle for blind people

A vehicle includes an alarm portion, a storage configured to store information on a ground clearance, a camera configured to obtain a surrounding image including a front image and a rear image of the vehicle, and a controller configured to, when an object in front of the vehicle is recognized based on the front image obtained by the camera, determine a height of the object based on the front image obtained by the camera, and when the ground clearance is greater than the height of the object by comparing the height of the object with the ground clearance, and when the object is not recognized in a rear side of the vehicle based on the rear image obtained by the camera, configured to control the alarm portion to output a warning alarm.

Vehicle and control method thereof

A vehicle controller, a system including the same, and a method thereof are provided. The vehicle controller includes a processor that detect an intervening vehicle based on a line of sight direction of a user; and respond to the intervening vehicle based on an intent of the user when the intervening vehicle is detected; and a storage configured to store information regarding the line of sight direction of the user or the detected intervening vehicle.

Vehicle controller, system including the same, and method thereof

An apparatus for controlling the driving assistance of a vehicle, a system including the same and a method for the same are provided. The apparatus for controlling the driving assistance of the vehicle includes a processor to adjust a driving assistance controlling setting value, based on at least one of whether a user looks ahead, whether the user performs a driving manipulation, and a driving condition during driving assistance of the vehicle, and a storage to store the driving assistance controlling setting value.

Apparatus for controlling driving assistance of vehicle, system including the same and method for the same

An interactive autonomous driving system for an autonomous driving vehicle may include: a target mapping device that determines whether an obstacle is present in a predetermined range of a target selected by a passenger and outputting obstacle information; a target attribute determination device that determines a target attribute based on the obstacle information and outputs target controllable item information; and a processor that generates control mode recommendation information selectable by the passenger based on the target controllable item information and outputs target attribute information and a selected control mode when control mode selection information is received from the passenger.

Interactive autonomous driving system

The present disclosure relates to a face recognition apparatus and method. The face recognition apparatus includes a camera that captures a face image a driver, a database (DB) that stores face data including the face image and one or more environmental conditions corresponding to the face image, and a controller that, when a face recognition function is performed, extracts the face data from the DB based on an environmental condition at a time of recognizing a face, and recognizes a face of the driver based on a face image of the extracted face data.

Face recognition apparatus and face recognition method

A drowsy driving management device includes: a processor configured to determine whether slow eye movement of a user occurs and whether there is no change in steering torque and to determine that the user drives while drowsy when the slow eye movement of the user occurs and when there is no change in the steering torque for a predetermined period of time; and a storage that stores information indicating whether the slow eye movement occurs and a result of determining whether there is no change in the steering torque.

Drowsy driving management device, system including the same, and method thereof

The present disclosure relates to a driver distraction warning control apparatus and a driver distraction warning control method. The driver distraction warning control apparatus includes a sensor device that detects gaze of a driver, a setting device configured to divide a virtual area on front of the driver into a plurality of gaze areas, and sets a threshold for each of the gaze areas, a determining device that determines a viewing area corresponding to the driver's gaze direction from among the gaze areas, and a controller that performs driver distraction warning control based on the threshold set for the determined viewing area.

Driver distraction warning control apparatus and method

A vehicle terminal automatically registering a profile image of a user to a vehicle using images stored in a mobile terminal of a user and performing a face authentication includes a communicator that performs a data communication with the mobile terminal of the user, a camera that obtains a face image of the user, and a processor that registers the profile image of the user using an image among the images stored in the mobile terminal. The processor learns a facial feature of the user using the images stored in the mobile terminal as learning data and analyzes the face image obtained through the camera based on the learned facial feature of the user to perform the face authentication of the user.

Terminal for vehicle and method for authenticating face

An apparatus for determining a concentration of a driver includes: a region-of-interest definition processor configured to define a region-of-interest based on traffic-related information on front image information of a vehicle running; a driver eye-gaze detection processor configured to detect a plurality of eye-gaze points from driver image information of a driver in accordance with an eye-gaze movement of the driver; a driver concentration information calculation processor configured to calculate concentration information of each of the eye-gaze points; an image coordinate system processor configured to convert the region-of-interest to an image coordinate system and convert positions of the eye-gaze points to the image coordinate system; and a concentration determination processor configured to determine a concentration of the driver on the image coordinate system based on the concentration information.

Apparatus for determining concentration of driver, system having the same, and method thereof

An apparatus and a method for controlling autonomous driving of a vehicle, and a vehicle system are provided. The apparatus monitors a stress state of a driver using biometric information of the driver and calculates an allowable jerk of the driver based on a jerk at a time point at which the stress state of the driver exceeds a preset reference value. A predicted jerk is calculated based on location and movement information of the vehicle and a preceding vehicle measured while the vehicle travels, and lane information. Additionally, a driving state of the vehicle is determined when the predicted jerk exceeds an allowable jerk of the driver and an alarm is output based on the driving state of the vehicle.

Apparatus and method for controlling autonomous driving of vehicle, and vehicle system

An apparatus for manipulating in-vehicle devices using a steering wheel includes a reference signal input unit for inputting a reference signal to a driver through a charged plate, a touch sensor for receiving the reference signal through human body communication and for detecting a touch of the driver, and a controller for generating a control signal on the basis of the results detected by the touch sensor.

Apparatus and method for manipulating in-vehicle devices using steering wheel

A system for determining a state of a driver includes a face tracking device configured to detect coordinates and a direction vector of a face at intervals of a sampling time from a face image of the driver, an event detecting device configured to detect valid behavior of a vehicle as an event, and a determination device configured to determine an impaired state of the driver based on a reflex response time of the driver when the event is detected by the event detecting device.

System and method for determining state of driver

An apparatus and method for determining driver distraction based on a jerk and a vehicle system are provided. The apparatus includes: a jerk calculating processor to calculate a lateral jerk of a vehicle based on driving information collected when the vehicle is traveling, an exception event detecting processor to detect an exception event defining a situation where the lateral jerk occurs during normal driving based on the collected driving information, and a determining processor to detect oversteering of the vehicle by comparing the calculated lateral jerk with a reference value and determine a driver distraction based on the detected oversteering and exception event.

Growing community of inventors

Gyeonggi-do, South Korea

Sam Yong Kim