Abstract:
An apparatus and method for establishing a dual path plan to allow an autonomous vehicle to keep traveling without stopping even when the vehicle cannot follow a global path discovered in advance and for determining a road area for choosing an obstacle to be determined on the basis of the dual path plan. The apparatus includes an input unit configured to receive travel information of an autonomous vehicle, a memory configured to store a program for establishing a dual path plan and determining a road determination area for autonomous driving by using the travel information, and a processor configured to execute the program, wherein the processor establishes the duel path plan by setting a default path such that the autonomous vehicle keeps traveling and by setting a current global path in consideration of a global path and a current location of the autonomous vehicle.
Abstract:
Provided is a system and method for fusion recognition using an active stick filter. The system for fusion recognition using the active stick filter includes a data input unit configured to receive input information for calibration between an image and a heterogeneous sensor, a matrix calculation unit configured to calculate a correlation for projection of information of the heterogeneous sensor, a projection unit configured to project the information of the heterogeneous sensor onto an image domain using the correlation, and a two-dimensional (2D) heterogeneous sensor fusion unit configured to perform stick calibration modeling and design and apply a stick calibration filter.
Abstract:
Provided is an apparatus and method for analyzing a concentration level of a driver, the method including analyzing quantitative data associated with a time at which a line of sight (LOS) of a driver is dispersed and a time at which the LOS of the driver is focused, analyzing a reaction speed of a human machine interface (HMI) when a command based on device input information, voice information, and gesture information is input, and evaluating a degree of LOS dispersion of the driver based on the quantitative data of the driver and the reaction speed of a user interface (UI) of the HMI.
Abstract:
Provided is a method of learning a pose of a moving object. The method includes determining 3D feature points in the 3D mesh model obtained by previously modeling a general shape of a moving object, fitting the 3D mesh model to the 2D learning image obtained by previously photographing the real shape of the moving object with respect to the determined 3D feature points, obtaining learning data associated with pose estimation of the moving object from the 2D learning image with the 3D mesh model fitted thereto, and learning a pose estimation model estimating a pose of a target moving object included in one real image obtained by the camera by using the learning data.
Abstract:
Provided are a user intention analysis apparatus and method based on image information of a three-dimensional (3D) space. The user intention analysis apparatus includes a 3D space generator configured to generate a 3D virtual space corresponding to an ambient environment, based on physical relative positions of a plurality of cameras and image information generated by photographing the ambient environment with the plurality of cameras, a 3D image analyzer configured to estimate a relative position between a first object and a second object included in the image information in the 3D virtual space and generate contact information of the first object and the second object, based on the relative positions of the first object and the second object, an action pattern recognizer configured to compare the contact information with a pre-learned action pattern to recognize an action pattern of a user who manipulates the first object or the second object, and a user intention recognizer configured to infer a user intention corresponding to the recognized action pattern, based on ontology.