Abstract:
사용자의 움직임을 기초로 차량 시트를 이동하는 차량 시트 이동 장치로서, 제어 신호를 기초로 일정 거리를 앞뒤로 이동하는 차량 시트, 촬영한 화면에서 특정 물체의 깊이 변화를 기초로 다가오는 물체나 멀어지는 물체를 감지하는 깊이카메라, 그리고 상기 깊이카메라로부터 전송된 신호를 기초로 상기 제어 신호를 생성하는 제어부를 포함한다.
Abstract:
Provided are a method for independently controlling the volumes of audio sounds and a car audio system adopting the same. The car audio system according to an embodiment of the present invention independently controls the volume from each of speakers in consideration of all volume setting values set by occupants of a vehicle. Therefore, the volumes of audio sounds outputted through the speakers equipped in the vehicle may be independently adjusted in consideration of all listening intentions of the occupants of the vehicle.
Abstract:
A device for detecting seat occupancy in a vehicle determines whether a seat is occupied or not by comparing previously stored reference depth information of non-occupied state with depth information on a seat obtained by the device to detect seat occupancy. When a seat is occupied, the device determines whether the seat is occupied by a person or an object and generates and displays display information to notify that a seat is occupied by a person or an object according to determination results. [Reference numerals] (110) Sitting detector; (120) Face recognition unit; (130) Passenger presence determination unit; (140) Information storage unit; (150) Sitting information display unit; (AA) Sitting occupancy; (BB) Target occupancy; (CC) Sitting information
Abstract:
The present invention relates to a device for moving a vehicle seat based on the movement of a user. The device includes a vehicle seat which moves back and forth at a certain distance based on control signals, a camera which detects an approaching object or a disappearing object based on depth changes in filmed images, and a control unit which generates control signals based on the signals transmitted from the camera. [Reference numerals] (110) Depth camera; (130) Control unit; (150) Vehicle seat
Abstract:
When an auto-locking apparatus recognizes a face of a vehicle occupant to obtain the facial information of the occupant in order to control a child lock of a vehicle, the auto-locking apparatus confirms whether the obtained facial information is stored in advance. If the obtained facial information is stored in advance, the auto-locking apparatus checks whether the child lock of the vehicle is engaged, and controls the child lock of the vehicle to automatically lock the doors of the vehicle according to the status of the child lock of the vehicle and the information of the vehicle occupant. [Reference numerals] (110) Face recognition unit; (120) Facial information detection unit; (130) User information storing unit; (140) Locking mode check unit; (150) Control unit; (AA) Facial image; (BB) Child lock control
Abstract:
본 발명은 제어와 데이터의 처리가 분리된 통신 디바이스 및 MOST 단말에 관한 것으로, 외부 데이터 처리장치와 이종 규격의 데이터 프레임을 송수신하고, 상기 데이터 프레임에서 데이터를 추가하거나 추출하되, 추출시 제어 채널의 제어 신호와 데이터를 추출하고 추출한 상기 제어 신호와 상기 데이터를 서로 다른 전송 경로로 전송하는 트랜시버, 그리고 상기 이종 규격의 제어 신호를 처리하기 위한 넷 서비스가 탑재되고, 상기 트랜시버로부터 수신되는 상기 이종 규격의 상기 제어 신호를 상기 내부 처리 규격의 제어 신호로 변환하고, 상기 내부 처리 규격의 제어 신호를 상기 이종 규격의 상기 제어 신호로 변환하는 저성능 CPU를 포함한다.
Abstract:
PURPOSE: A masking apparatus and a method for soft decision masking are provided to increase precision of detection target blob by performing masking and giving weighted value through a masking operation. CONSTITUTION: A masking apparatus receives a disparity map having a number of pixel values by being generated from image information(S100). The apparatus compares the pixel values of the received disparity map with a predetermined threshold value(S110). If the pixel value is greater than the threshold value, the apparatus outputs the pixel value(S130). The apparatus performs a masking operation by detecting the outputted pixel value as blob for the disparity map(S140). [Reference numerals] (AA,CC) No; (BB,DD) Yes; (S100) Receive a disparity map; (S110) Pixel value of the received disparity map > Predetermined threshold value ?; (S120) Delete the pixel value; (S130) Output the pixel value; (S140) Detect blob; (S150) Multiple blobs detected?; (S160) Set the blob including information with the big weighted value as the blob of the disparity map
Abstract:
PURPOSE: A blob labeling method of image processing and an apparatus thereof are provided to reduce time for blob labeling and to increase speed of image processing. CONSTITUTION: A mask processing unit(1110) performs temporary labeling for pixels included in a first row by using a certain mask pattern. A connection component labeling unit(1120) gives a confirming label about the pixels included in the first row based on a blob labeling result. The mask processing unit and the connection component labeling unit process the pixels included in the first row. The mask pattern includes a first pixel, a previous pixel of the first pixel, a next pixel of the first pixel, and the next pixel of the current pixel. [Reference numerals] (1110) Mask processing unit; (1120) Connection component labeling unit; (1130) Link maintenance unit; (1140) Label maintenance unit; (AA) Input; (BB) Temp label-inherit label; (CC) Blob information; (DD) Required determined label number; (EE) Minimum effective determined label