Abstract: Disclosed are a robot cleaner and a method for controlling the same. The robot cleaner is capable of recognizing a position thereof by extracting one or more feature points having 2D coordinates information with respect to each of a plurality of images, by matching the feature points with each other, and then by creating a matching point having 3D coordinates information. Matching points having 3D coordinates information are created to recognize a position of the robot cleaner, and the recognized position is verified based on a moving distance measured by using a sensor. This may allow a position of the robot cleaner to be precisely recognized, and allow the robot cleaner to perform a cleaning operation or a running operation by interworking the precisely recognized position with a map.

Abstract: Disclosed are a mobile robot with a single camera capable of performing a cleaning process with respect to surroundings, and capable of more precisely making a 3D map of the surroundings including a plurality of feature points, and a method for recognizing 3D surroundings of the same. According to the method, images of the surroundings are captured, and a preset number of particles with respect to feature points of a first image are projected to a second image based on matching information of feature points extracted from the two images sequentially captured, thereby extracting 3D information of the surroundings.

Abstract: An apparatus and method for detecting a target flow in a wireless communication system are provided. The target flow detection method includes receiving a packet, determining a behavior state of the packet, comparing the behavior state with a plurality of stored behavior signatures, retrieving, when the behavior state matches one of the stored behavior signatures, a target flow corresponding to the behavior signature, and instructing a packet processor to process the target flow.

Abstract: Disclosed is a mobile robot and a controlling method of the same. An entire movement region is divided into a plurality of regions, and a partial map is gradually made by using feature points of a plurality of images of the divided regions. Then, the map is compensated into a closed curved line, thereby making an entire map. Furthermore, when the mobile robot is positioned at a boundary of neighboring regions of the cleaning region, the boundary where a closed curved line is formed, the mobile robot compensates for its position based on a matching result between feature points included in the map, and feature points extracted from images captured during a cleaning process.

Abstract: Provided are a system and method for real-time object recognition and pose estimation using in-situ monitoring.

Abstract: Disclosed is a technique for obtaining an estimate and variance of each variable based on a constraint manifold. Particles (or samples) are sampled in order to filter and fuse ambiguous data or information on at least one state variable of a system using the particles. The sampling is carried out in consideration of an influence which non-linearity of the constraint manifold of a system model, an observation model or another system model exerts on a probability distribution of the state variable. With this construction, it is possible to reduce decrease of fusion and filtering performance, decrease a Gaussian approximation error, and detect mismatched information.

Abstract: A method and apparatus for acknowledging a bitwise data chunk in wireline and wireless communication systems. Data of at least one chunk is received from a sending node. Bitwise acknowledgement (ACK) information for each chunk is generated after a cumulative ACK. A predetermined message is transmitted in which the information is recorded, in a word having predetermined bits, in reverse order from a least significant bit. Lost chunk data is again received. The method and apparatus are useful in a wireless environment in which loss occurs frequently and can improve communication performance by applying an intuitive Selective Acknowledgement (SACK) format and a Selective Bitwise Chunk Acknowledgement (SBCA) for efficient bit use. The method and apparatus can securely transfer a signal of a public telephone network on a network through a multi-homing function and a multi-streaming function.

Abstract: Disclosed is a technique for obtaining an_estimate and variance of each variable based on a constraint manifold. Particles (or samples) are sampled in order to filter and fuse ambiguous data or information on at least one state variable of a system using the particles. The sampling is carried out in consideration of an influence which non-linearity of the constraint manifold of_a system model, an observation model or another system model exerts on a probability distribution of the state variable. With this construction, it is possible to reduce decrease of fusion and filtering performance, decrease a Gaussian approximation error, and detect mismatched information.