Hyundai Motor Company

Kia Motors Corporation

Kia Corporation

Kia Motors Gorporation

Hyundai Motor Gompany

Donghyuk Kim

Ilhwan Kim

Kyung-Joo Bang

Seunghyun Kim

Hong Gi Park

Chiyoung An

Wooyeol Jeong

Sangyeob Lee

Jungwan Park

Sangmin Lee

Junghyun Kim

Tae Young Lee

Yongseok Kwon

Eungseo Kim

DongHyun Sung

Jonghyeok Park

Youngil Na

YoungIl Na

Kyung-joo Bang

A vehicle may include: a camera configured to obtain a surrounding image of the vehicle; and a controller configured to derive spatial recognition data by learning the surrounding image of the vehicle as an input value, derive object recognition data including wheel area data of surrounding vehicles by learning the surrounding image of the vehicle as an input value, determine a ground clearance between a bottom surface of a vehicle body of the surrounding vehicle and a ground by use of the spatial recognition data and the wheel area data, and control the vehicle to park the vehicle by reflecting the ground clearance.

Vehicle and control method thereof

A vehicle includes a communicator that is mounted on the vehicle to perform wireless communication with a server and a controller operates the communicator to transmit an accident reception request signal and image data acquired by another vehicle to the server when the vehicle has an accident with an accident target vehicle. The controller operates the communicator to receive a fault ratio from the server when the server generates fault ratio data between the vehicle and the accident target vehicle based on the image data.

Vehicle and controlling method thereof

A vehicle includes a communication device configured to request a neighboring vehicle for first data related to autonomous driving of the neighboring vehicle and to receive the first data from the neighboring vehicle while the vehicle is driving; a sensor device configured to sense second data regarding a state of a user of the vehicle and to detect third data regarding driving information of the neighboring vehicle; and a controller configured to classify risks of the vehicle into classes according to a preset criterion based on the first data, the second data, and the third data, and to score the risks based on the classified classes.

A vehicle includes: a camera configured to acquire position information of a passenger of the vehicle by capturing the passenger; an indicator configured to indicate whether the passenger is movable within the vehicle; and a processor. The processor may determine behavioral stability of the passenger based on the acquired position information of the passenger, determine whether the passenger is movable within the vehicle based on the determined behavioral stability and driving environment of the vehicle; and control an indication type of the indicator differently depend on whether the passenger is movable.

Vehicle which indicates passenger movability, and method for controlling the same

A vehicle may include a communicator configured to receive driver state information from a surrounding vehicle, a detector configured to obtain driving information related to surrounding vehicle, a driving assistance module configured to control at least one of a driving speed or a driving direction and a controller configured to determine whether a driver of the surrounding vehicle is in drowsiness state based on whether the received driver state information satisfies a predetermined condition and if the driver of the surrounding vehicle is determined as drowsiness state, control the driving assistance module to avoid the surrounding vehicle.

Vehicle and method for controlling thereof

A vehicle includes: a capturer to capture a driver of the vehicle driving in an autonomous driving mode to obtain driver position information; a driver state detector to detect a state of the driver; and a controller to determine a time required to change from the autonomous driving mode to a manual operation mode based on the obtained driver position information and the detected driver state. In particular, the controller controls the change to driving mode of the vehicle based on the determined time to change from the autonomous driving mode to the manual operation mode.

Vehicle and method of controlling the same

A vehicle and a control method of the same are provided. The vehicle may include a braking, a camera configured to capture an image of a front side of the vehicle and obtain image data, a radar configured to obtain radar data including distance information with respect to another vehicle traveling in an opposite direction at an intersection and speed information of the other vehicle, and a controller configured to estimate a collision risk on a side of the other vehicle based on the image data and the radar data when the vehicle is turning at the intersection, and control the brake based on the collision risk on the side of the other vehicle.

Vehicle and control method for the same

A vehicle includes: a capturer configured to obtain height information of a preceding vehicle; a sensor configured to obtain at least one of position information or speed information of the preceding vehicle and a leading vehicle; and a controller configured to determine a first distance between the preceding vehicle and a subject vehicle, to determine a second distance between the preceding vehicle and the leading vehicle, to determine an acceleration of the preceding vehicle based on a relative speed and a relative distance of the preceding vehicle and the leading vehicle, and to control at least one of braking or steering of the subject vehicle when the second distance is less than or equal to a collision prediction distance between the preceding vehicle and the leading vehicle and the acceleration of the preceding vehicle is less than a predetermined value.

Vehicle and method for performing inter-vehicle distance control

A vehicle may include: a sensor configured to detect an object in a vicinity of the vehicle; a driver state detector configured to identify a driver state of a driver of the vehicle; and a controller operably coupled to the sensor and the driver state detector, the controller configured to determine whether the driver is incapable of controlling the vehicle based on the identified driver state, and to determine a driving stop position and a driving stop timing based on at least one of a type of a road on which the vehicle is driving and a driving environment of the vehicle when it is determined that the driver is incapable of controlling the vehicle.

Disclosed herein are a vehicle and a control method thereof. The vehicle includes an obstacle detector for detecting an obstacle around the vehicle, and a controller configured to predict a chance of a collision with the obstacle on the side of a door if the obstacle detector detects the obstacle in front, and to perform partial braking control on the vehicle if the collision on the side of the door is predicted.

Control method to avoid collision and vehicle using the same

A vehicle may include a vehicle detector configured to detect an obstacle and a condition of the inside and the outside of the vehicle; and a controller, when a front obstacle is detected by the vehicle detector, configured to determine a required braking distance or a time to collision (TTC) with respect to the obstacle, configured to determine whether a door side collision with the obstacle is estimated, when a collision with the obstacle is estimated according to the result of the determination, and configured to open a door in emergency or convert the door into a manual opening mode when the door side collision is estimated.

A vehicle, which adjusts a collision warning time based on driver's field of view and visibility of the object, is provided. The vehicle includes: a distance sensor that collects data of an object, a camera that collects image data, a driver recognition sensor that collects driver's facial data, and a controller that analyzes driver's gaze and field of view using the driver's facial data, analyzes visibility of the object using the image data, and calculates a collision warning time based on a result of analyzing the driver's gaze and field of view and the visibility of the object, and an alarm device that informs the driver of the risk of collision at the collision warning time under the control of the controller.

Growing community of inventors

Hwaseong-si, South Korea

Donghyuk Kim