Hyundai Motor Company

Kia Motors Corporation

Yu Jin Yun

Byoung Joon Lee

Sam Yong Kim

Seong Sook Ryu

Jin Kwon Kim

Hwal Ly Lee

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 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 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.

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Suwon-si, South Korea

Yu Jin Yun