Hyundai Motor Company

Kia Motors Corporation

Industry-university Cooperation Foundation Hanyang University

Seong Sook Ryu

Byoung Joon Lee

Sam Yong Kim

Jin Kwon Kim

Eu Gene Chang

Dae Joong Yoon

Jae Seob Choi

Ho Choul Jung

Ho Gi Jung

Jae Kyu Suhr

Hwal Ly Lee

Yu Jin Yun

Jae Young Choi

Jin Wook Choi

Jae Hong Choi

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 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 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

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.

Apparatus and method for determining driver distraction based on jerk and vehicle system

A parking area detecting method includes generating a top view image by capturing images of surroundings of a vehicle, detecting a first directional parking line from the top view image, detecting a second directional parking line having a direction different from a direction of the first directional parking line from the top view image, and detecting a parking area by combining the first directional parking line and the second directional parking line.

Parking area detecting apparatus and method thereof

An apparatus and a method for determining a driving state are provided. The apparatus includes a jerk calculator configured to determine a minimum prediction jerk generated in an interval until an ego vehicle arrives at a location of a preceding vehicle, using location, velocity, and acceleration information of the ego vehicle at a current time and location, velocity, and acceleration information of the preceding vehicle and determine a permission jerk of a driver of the ego vehicle, a determiner configured to determine whether the minimum prediction jerk is greater than the permission jerk of the driver and determine a careless driving state based on a driving operation state of the driver when the minimum prediction jerk is greater than the permission jerk of the driver, and a signal processor configured to output an alert when it is determined as the careless driving state.

Apparatus and method for determining driving state

An apparatus and method for determining drowsiness of a driver are provided. The apparatus includes an imaging device that obtains an image of the driver and a controller that determines (e.g., based on the image of the driver) when the driver is in a fatigue state, when the driver is in an eyelid closure state, and when the driver is in a wake-up state. The controller further determines that the driver is in a drowsiness state when after the fatigue state of the driver continues over a predetermined first time interval, the eyelid closure state and the wake-up state of the driver alternately and repetitively occur within a predetermined second time interval.

Apparatus and method to determine drowsiness of a driver

An apparatus for recognizing a position of an obstacle in a vehicle obtains image data and ultrasonic sensor data through a camera and an ultrasonic sensor, detects linear edges perpendicular to a ground surface in the image data, detects a discontinuous position at which the ultrasonic sensor data are not continuous, detects intersection points of the linear edges detected in continuous images from the image data when the discontinuous position coincides with a camera position, and estimates the intersection points to be the position of the obstacle.

Apparatus and method for recognizing position of obstacle in vehicle

A vehicle is provided to detect a failure of rear brake lamps of a preceding vehicle. The vehicle includes a distance detection unit that detects a distance from the vehicle to the preceding vehicle, an image acquisition unit that acquires an image of the preceding vehicle, and a controller that detects the failure of a rear brake lamp of the preceding vehicle occurs using a speed of the preceding vehicle obtained using information of variations in the detected distance and the acquired image of the preceding vehicle. Additionally, the controller generates acceleration and deceleration state information of the preceding vehicle in response to detecting the failure of the rear brake lamp of the preceding vehicle.

Vehicle and method for supporting driving safety thereof

Provided are an apparatus and method for monitoring driver's concentrativeness capable of monitoring whether a driver is concentratedly obtaining major information by tracing a driver's sight while a vehicle is running, in order to provide alarm to the driver when driver's concentrativeness is dropped at a time when the major information is changed while the vehicle is running.

Growing community of inventors

Seoul, South Korea

Seong Sook Ryu