Electronics and Telecommunications Research Institute

Joo Chan Sohn

Jae Hong Kim

Jae Yeon Lee

Min Su Jang

Hye Jin Kim

Chan Kyu Park

Sang Seung Kang

Ho Sub Yoon

Yun Koo Chung

Woo Han Yun

Young Jo Cho

Hyun Kyu Cho

Su Young Chi

Dae Ha Lee

Mun Sung Han

Kyu Dae Ban

Cheon Shu Park

Young Cheol Go

Sung Hoon Kim

Kye Kyung Kim

Young-Jo Cho

Dong Jin Lee

Young Woo Yoon

Hyeon Sung Cho

Hyun Kyu Kim

Ji Eun Kim

Jeong Dan Choi

Kyung Bok Sung

Jae Il Cho

Seung Jun Han

Kyoung Wook Min

Sang Heon Park

Oh Cheon Kwon

Kyung-Il Kim

Myung Chan Roh

Yong Woo Jo

Yoo Seung Song

Young Giu Jung

Hee Sung Chae

Young-Guk Ha

Hyun Jeong Yun

Hyeonsung Cho

Joon Myun Cho

Cheonshu Park

Jun Gyu Kang

Jeong Nam Yeom

Ki In Na

Joung Woo Ryu

Jae Min Byun

A method of estimating a self-location of a vehicle includes obtaining an omnidirectional image by using an omnidirectional camera photographing a ground around a driving vehicle at a current location of the driving vehicle, estimating the current location of the driving vehicle on the basis of a global positioning system (GPS) satellite signal received from a satellite, searching a satellite image database storing a satellite image obtained by photographing the ground with the satellite to determine candidate satellite images corresponding to the estimated current location of the driving vehicle, comparing the omnidirectional image with each of the determined candidate satellite images to determine a candidate satellite image having a highest similarity to the omnidirectional image from among the determined candidate satellite images, and finally estimating the current location of the driving vehicle by using a location measurement value mapped to the determined candidate satellite image.

Apparatus and method of estimating self-location of vehicle

Provided are an apparatus and method for sharing and learning driving environment data to improve the decision intelligence of an autonomous vehicle. The apparatus for sharing and learning driving environment data to improve the decision intelligence of an autonomous vehicle includes a sensing section which senses surrounding vehicles traveling within a preset distance from the autonomous vehicle, a communicator which transmits and receives data between the autonomous vehicle and another vehicle or a cloud server, a storage which stores precise lane-level map data, and a learning section which generates mapping data centered on the autonomous vehicle by mapping driving environment data of a sensing result of the sensing section to the precise map data, transmits the mapping data to the other vehicle or the cloud server through the communicator, and performs learning for autonomous driving using the mapping data and data received from the other vehicle or the cloud server.

Apparatus and method for sharing and learning driving environment data to improve decision intelligence of autonomous vehicle

A navigation route cooperation navigation system and a method of controlling the same are provided. The navigation route cooperation navigation system can secure a visible distance or a communicable range and allow a member vehicle which cannot perform cluster driving to drive according to driving information of a leader vehicle, allow the member vehicle to drive according to a recommended route better than a navigation route of a leader vehicle, and set the member vehicle which passes the leader vehicle as a new leader vehicle.

Navigation route cooperation navigation system and method of controlling the same

An apparatus and method for building a map of probability distribution are provided. The apparatus for building the map of probability distribution includes: a sensor information collector configured to collect sensor information from a plurality of sensors; as object recognizer configured to recognize an object by integrating and inferring the sensor information, and to acquire object information; and a probability distribution creator configured to determine whether to apply an object property model including at least one of kinematic properties, shape properties, and probabilistic properties in correspondence to the object information, to acquire object properties corresponding to the object information, and to create a probability distribution based on foe object properties. Accordingly, it is possible to build a map with high reliability.

Apparatus and method for building map of probability distribution based on properties of object and system

Disclosed are an apparatus for tracking a location of a hand, includes: a skin color image detector for detecting a skin color region from an image input from an image device using a predetermined skin color of a user; a face tracker for tracking a face using the detected skin color image; a motion detector for setting a ROI using location information of the tracked face, and detecting a motion image from the set ROI; a candidate region extractor for extracting a candidate region with respect to a hand of the user using the skin color image detected by the skin color image detector and the motion image detected by the motion detector; and a hand tracker for tracking a location of the hand in the extracted candidate region to find out a final location of the hand.

Apparatus and method for tracking hand

Disclosed are a wearable behavioral pattern collecting apparatus for generating collected information by analyzing a behavioral pattern of a wearer, and generating and thereby transmitting emergency call information when an emergency situation occurs, a network including a repeater to transmit information received from the behavioral pattern collecting apparatus to a remote monitoring server, and a behavioral pattern analyzing system and method for transmitting information on an emergency accident and a position of the wearer to a corresponding institution or a corresponding person in charge when an emergency situation such as a falling accident or the emergency accident occurs by observing a change in the behavioral pattern of the wearer.

Behavioral pattern collecting apparatus, and behavioral pattern analyzing system and method using the same

Disclosed are a component recognizing apparatus and a component recognizing method. The component recognizing apparatus includes: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result.

Component recognizing apparatus and component recognizing method

A space recognition system obtains available RSSI (Received Signal Strength Indicator) information for a plurality of fixing devices in the vicinity of a user device in the wireless sensor network environment, collects environment information in a space where the user device is located, and collects environment information in a plurality of spaces in which the fixing devices are respectively located. The system combines the RSSI information and the environment information and performs a recognition function on the combined environment information to recognize the space in which a user having the user device is located.

Space recognition method and system based on environment information

Disclosed is a method of sequencing character information in order to increase precision of character recognition. The method includes: a pre-processing that extracts character information from an image to binarize the extracted character information through a predetermined threshold and extracts and thins a center line of the binarized character information; normalizing the pre-processed character information to character information according to a predetermined criteria; and sequencing the normalized character information using structural features including an end point or a divergence point of the character information. The present invention suggests an angle normalization method of input character information, a structural feature position determining method, and a structural feature numeral string generating method to strongly recognize characters configured by various fonts obtained from a natural scene regardless of an angle or a size of the characters.

Method and apparatus for sequencing off-line character from natural scene

Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention. The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.

System for recognizing disguised face using gabor feature and SVM classifier and method thereof

Disclosed is a system for integrating gestures and sounds including: a gesture recognition unit that extracts gesture feature information corresponding to user commands from image information and acquires gesture recognition information from the gesture feature information; a background recognition unit acquiring background sound information using the predetermined background sound model from the sound information; a sound recognition unit that extracts the sound feature information corresponding to user commands from the sound information and extracts the sound feature information based on the background sound information and acquires the sound recognition information from the sound feature information; and an integration unit that generates integration information by integrating the gesture recognition information and the sound recognition information.

System and method for integrating gesture and sound for controlling device

A biological signal sensor apparatus worn on a user's body includes: a sensor unit for sensing physical states or movements of a user to generate biological signal data; a wireless communications unit for performing wireless data communications with a wireless sensor network to transmit the biological signal data; a sensor network protocol processing unit for processing protocols for end-to-end communications between the wireless communications unit and the wireless sensor network and for performing a mobility support procedure for the biological signal sensor apparatus; a processor for controlling the wireless data communications, the end-to-end communications, and the mobility support procedure to allow the biological signal sensor apparatus to serve as a mobile wireless sensor node; and a connection unit for connecting the sensor unit and the processor. The biological signal sensor apparatus serves as a mobile wireless sensor node in the wireless sensor network.

Biological signal sensor apparatus, wireless sensor network, and user interface system using biological signal sensor apparatus

Disclosed is a typewriter system and a text input method capable of accurately recognizing words by correcting words input using a mediated interface device based on a dictionary. A plurality of texts are combined by referencing a text recognition order set in which recognition results of texts are arranged according to a recognition order from texts input through the mediated interface device and the combined text is filtered using part index maps formed of part words that are an accumulated set of texts forming complete words. The part words passing through the part index maps is again filtered using a dictionary including context information formed of a set of words in a specific category, thereby making it possible to accurately recognize the words. The part words that cannot form words in a dictionary are removed in advance using the part index maps, thereby improving the recognition efficiency.

Typewriter system and text input method using mediated interface device

Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.

Apparatus and method for detecting upper body

Provided is a system for adjusting an image of a beam projector using a camera attached remote controller and a method thereof. The system for adjusting images of a beam projector according to the present invention includes: a remote controller photographing test images projected on a screen and detecting pattern images from the photographed test images and generating control information including at least one parameter necessary to adjust the images through the detected pattern images; and a beam projector receiving the control information for adjusting images from the remote controller and adjusting the input image by using parameters included in the received control information and outputting them to the screen. Therefore, the present invention adjusts colors and geometrical shapes of images at a user's viewpoint, thereby making it possible to improve the satisfaction of user and implement the system in various forms.

System for adjusting image of beam projector using camera attached remote controller and method thereof

Growing community of inventors

Daejeon, South Korea

Joo Chan Sohn