Abstract: Disclosed are a road surface condition sensing system and method. The road surface condition sensing system includes an acoustic sensing unit for sensing an acoustic signal of a floor of a vehicle, and a control unit for calculating a feature vector by Fourier transforming the sensed acoustic signal, comparing the calculated feature vector with a plurality of previously stored feature vectors and returning a first feature vector having the smallest relative distance to the calculated feature vector, and outputting a road surface condition corresponding to the first feature vector.

Abstract: A driver state monitoring method and apparatus may accurately and effectively determine a driver carelessness state and warn a driver of the carelessness state.

Abstract: An apparatus for recognizing traffic signs normalizes a window of a predetermined size for a region of interest set in an image frame inputted from an image sensor, generates a first input vector, extracts a candidate region of a traffic sign based on feature pattern information of a neuron having a feature pattern vector, stores the coordinates of the extracted traffic sign candidate region, converts the image size of the extracted candidate region, normalizes a window of a predetermined size for the candidate region of the converted image size, generates a second input vector, determines traffic sign content information of a neuron having a content pattern vector, stores the determined traffic sign content information, and recognizes the location and content of the traffic sign based on the coordinates of the stored candidate regions and the content information of the stored traffic sign when the traffic sign disappears.

Abstract: Disclosed are an apparatus and a method for recognizing traffic signs.

Abstract: Disclosed are a road surface condition sensing system and method. The road surface condition sensing system includes an acoustic sensing unit for sensing an acoustic signal of a floor of a vehicle, and a control unit for calculating a feature vector by Fourier transforming the sensed acoustic signal, comparing the calculated feature vector with a plurality of previously stored feature vectors and returning a first feature vector having the smallest relative distance to the calculated feature vector, and outputting a road surface condition corresponding to the first feature vector.

Abstract: Disclosed are a driver state monitoring method and apparatus. The driver state monitoring apparatus includes a driver state sensing unit to sense a driver state; a vehicle state sensing unit to sense a vehicle state, an ambient environment state sensing unit to sense an ambient environment state of the vehicle, a warning unit to warn a driver of a driver carelessness state, and a controller to assign a weighted value to the driver state sensed through the driver state sensing unit and the vehicle state sensed through the vehicle state sensing unit, respectively, based on an ambient environment state sensed through the ambient environment state sensing unit, calculate a driver carelessness level by applying the assigned respective weighted values, determine whether the driver is in a carelessness state or a normal state based on the calculated driver carelessness level, and warn the driver through the warning unit if the driver is in the carelessness state.