Abstract:
A circular polarizer composite including a plane polarizer, a first quarter-wavelength retarder, a cholesteric liquid crystal (CLC) film and a second quarter-wavelength retarder, wherein optical axes of the first quarter-wavelength retarder and the second quarter-wavelength retarder are perpendicularly crossed to each other. Also disclosed is an optical system including the circular polarizer composite and an emissive display module.
Abstract:
The present invention relates to a vehicle collision warning system and a method therefor. The method of the present invention comprises: a step for preprocessing the image obtained from a camera module attached to a user's automobile into an integral image; a step for detecting a vehicle candidate region by applying the AdaBoost algorithm to the integral image while adjusting the size of a vehicle detection window within a predetermined range; a step for verifying whether the detected vehicle candidate region is a valid vehicle region; a step for determining a vehicle region corresponding to the vehicle in front by clustering the verified valid vehicle regions; a step for finding the distance from the vehicle in front and the user's automobile by using the determined vehicle region; a step for deciding vehicle collision warning conditions when the distance between the vehicle in front and the vehicle of a user is below the predetermined standards; and a step for generating a vehicle collision warning when the vehicle collision warning conditions are met.
Abstract:
A circular polarizer composite including a plane polarizer, a first quarter-wavelength retarder, a cholesteric liquid crystal (CLC) film and a second quarter-wavelength retarder, wherein optical axes of the first quarter-wavelength retarder and the second quarter-wavelength retarder are perpendicularly crossed to each other. Also disclosed is an optical system including the circular polarizer composite and an emissive display module.
Abstract:
The present invention relates to a system and a method for traffic lane recognition and comprises: a step for preprocessing a vehicle front image obtained from a camera module attached to a vehicle into an integral image; a step for extracting a traffic lane candidate point by convoluting the integral image and a traffic lane candidate point template when a previous traffic lane equation does not exist; a step for finding a primary traffic lane equation of a traffic lane candidate cluster, which is obtained by converting the coordinates of the extracted traffic lane candidate points into the coordinates of an actual distance coordination system and clustering thereafter; and a step for selecting from the found traffic lane potential clusters a traffic lane candidate cluster pair that satisfies the predetermined conditions as the initially detected traffic lane pair.