Hyundai Motor Company

Kia Motors Corporation

Kia Corporation

Industry-university Cooperation Foundation Hanyang University

Drg Korea Co., Ltd

Byung Yong You

Young Chul Oh

Myung Seon Heo

Ki Cheol Shin

Tae Sung Choi

Chang Young Jung

Seung Wook Park

In Yong Jung

Min Byeong Lee

Jun Sik Hwang

Yoon Soo Kim

Su Lyun Sung

Dong Gyu Noh

Jong Rok Park

Hahk Rel Noh

Cho Rong Ryu

Dae Sung Hwang

Sung Won Yoon

Wan Jae Lee

Hyoung Geun Kwon

Seok Youl Yang

Seong Su Im

Cheol Ha Lee

Jin Hak Kim

Keon Chang Lee

Jong Woo Lim

Su Rim Kwon

A deep learning-based autonomous vehicle control system includes: a processor determining an autonomous driving control based on deep learning, correcting an error in determination of the deep learning-based autonomous driving control based on determination of an autonomous driving control based on a predetermined expert rule, and controlling an autonomous vehicle; and a non-transitory computer-readable storage medium storing data for the determination of the deep learning-based autonomous driving control, data for the determination of the expert rule-based autonomous driving control, and information about the error in the determination of the deep learning-based autonomous driving control.

Deep learning-based autonomous vehicle control device, system including the same, and method thereof

A putter-chipper golf club may include: a bodyincluding a coupling groove portionhaving a through-hole formed therein; a variable facedisposed on one side of the bodyand configured to function as a putter face or a chipper face; a springdisposed on the circumference of a part of the coupling protrusion portion; and a face capdisposed adjacent to the spring. When the coupling groove portionof the bodyand the coupling protrusion portionof the variable faceare disengaged from each other by pulling the variable facefrom the bodytoward one side, the golf club may be switched to a putter or a chipper through rotation of the variable face

Combination putter and chipper golf club

An apparatus and method for controlling a vehicle speed based on information about forward vehicles that travel in the same lane may be acquired using Vehicle to Everything (V2X) communications in a cooperative adaptive cruise control (CACC) system. The CACC system includes a communication unit receiving vehicle information from neighboring vehicles using V2V communications; an information collection unit collecting vehicle information of the neighboring vehicles and the subject vehicle using sensors; and a control unit determining a forward vehicle and a far-forward vehicle using the sensors, selecting first and second target vehicles for being followed by the subject vehicle based on the vehicle information of the forward vehicle and the far-forward vehicle and the vehicle information of the neighboring vehicles, and controlling the driving speed of the subject vehicle based on speed information of the first and second target vehicles.

Apparatus and method for controlling speed in cooperative adaptive cruise control system

An autonomous driving control method of a vehicle is provided. The method includes recognizing accuracy of a map within the vehicle and determining an available autonomous driving level. Sensor coverage of the vehicle is recognized and an available autonomous driving level for each section among the available autonomous driving levels is determined. A path with autonomous driving level indicated thereon among driving paths is then recommended according to a destination set in the map, and autonomous driving level calculation information is updated in real-time according to a selected path and autonomous information is provided to a driver.

Autonomous driving control system and control method using the same

An apparatus for preventing a pedestrian collision accident, a system having the same, and a method thereof are provided. The apparatus includes a pedestrian sensing unit that senses a pedestrian moving into a dangerous area and calculates velocity and direction information of the pedestrian. A communication unit transmits the velocity and direction information of the pedestrian to a surrounding vehicle. A time-to-collision (TTC) calculating unit calculates a TTC using velocity and direction information of a subject vehicle and second velocity and direction information of the pedestrian, when the TTC calculating unit receives the second velocity and direction information of the pedestrian from another vehicle. A controller outputs based on the TTC a warning to a driver of the subject vehicle or the pedestrian.

Apparatus for preventing pedestrian collision accident, system having the same, and method thereof

An adaptive cruise control apparatus includes a sensor device for acquiring information on vehicles around a subject vehicle including information on a distance between a forward vehicle and the subject vehicle, and a controller for calculating an acceleration of the subject vehicle based on the information on vehicles around the subject vehicle, determining a traffic condition around the subject vehicle based on the information on vehicles around the subject vehicle, limiting the acceleration of the subject vehicle according to the determined traffic condition, and controlling a power train of the subject vehicle according to the limited acceleration.

Adaptive cruise control apparatus and method of operating adaptive cruise control in consideration of traffic condition

An apparatus for controlling narrow road driving of a vehicle includes: an image transform unit generating a depth map using depth information of an object in a front image of a road on which the vehicle travels and generating a height map of the front image by transforming the generated depth map; a map analysis unit recognizing the object and calculating a driving allowable area of the road based on the generated height map; a determination unit determining whether the road is a narrow road based on the calculated driving allowable area and, when the road is determined to be the narrow road, determining whether the vehicle is able to pass through the narrow road; and a signal processing unit controlling driving of the vehicle on the narrow road based on the determination of whether the vehicle is able to pass through the narrow road.

Apparatus and method for controlling narrow road driving of vehicle

A method and an apparatus for detecting a pedestrian by a vehicle during night driving are provided, in which the apparatus includes: a first camera configured to take a first image including color information of a vicinity of the vehicle during night driving; a second camera configured to take a second image including thermal distribution information of the vicinity of the vehicle; a pedestrian detector configured to detect a non-pedestrian area by using the color information from the first image and detect a pedestrian area by excluding the non-pedestrian area from the second image; and a display configured to match and display the pedestrian area on the second image.

Method and apparatus for detecting a pedestrian by a vehicle during night driving

The present disclosure provides a lane estimating apparatus and method. The apparatus includes: a lane determiner, an obstacle position calculator, a vehicle position corrector, and a lane estimator. The lane determiner compares a first lane detected by a first sensor with a lane on an actual road or a second lane on a local map to determine reliability of the first lane. The obstacle position calculator detects, when the reliability of the detected first lane is less than a preset reference, a first obstacle in the vicinity of a vehicle and a second obstacle on the local map, and calculates a difference between slopes and positions of straight lines extracted from the first obstacle and the second obstacle. The vehicle position corrector corrects a heading direction and a position of the vehicle based on the difference between the slopes and positions of the straight lines. In addition, the lane estimator estimates a driving lane on the local map.

Lane estimating apparatus and method

A steering control method and device for autonomous vehicles is provided. The steering control method includes sensing traffic lanes on a road on which a vehicle is being driven and deriving a vanishing point positioned on lines extending from the traffic lanes. A sensitivity of a steering angle that corresponds to a vertical coordinate of the vanishing point in a matrix and an initial steering angle that corresponds to a horizontal coordinate are then determined. Further, a steering control value that corresponds to the initial steering angle and the sensitivity of the steering angle are determined.

Apparatus and method for automatic steering control in vehicle

A lane changing apparatus of an autonomous vehicle includes a lane recognizer, a vehicle information collector, control information, calculator, a controller and a steering apparatus. The lane recognizer is configured to recognize a lane of a road on which the vehicle is driving and extract road information from the recognized lane. The vehicle information collector is configured to collect vehicle information by a variety of sensors installed in the vehicle. The control information calculator is configured to calculate control information for changing the lane by using the vehicle information and the road information. The controller is configured to control a yaw rate of the vehicle based on the control information upon changing the lane. The steering apparatus is configured to change a moving direction of the vehicle according to a control of the controller.

Growing community of inventors

Gyeonggi-do, South Korea

Byung Yong You