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Abstract:The vehicle active safety perception platform is a effective way to prevent vehicle accident. Lane Departure Warning System (LDWS) is one of the most important aspects of this system. In this paper, a set of image processing method which can give results fast and accurately in the non-ideal conditions is proposed. And this is composed of a CMOS camera, an image acquisition and processing module, and an interface module. Several algorithms are tested as the edge detection method according to the experiment comparison, and other several algorithms are tested as the efficient way to detect the lane. At last, experimental facilities installed in the test vehicle validates the performance of this vehicle active safety perception platform.

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The circle-end-face centering device which is in the base of image processing accomplishes the center of the cylinders end face by digital image processing. Through edge extraction and doing the matching in the calculation of the least square method, the coordinate of the central of the circle can be calculated. At last, the drill will be moved to the central of the circle and do the punching by the actuator. This equipment is in the high accuracy and speed compared with the traditional way and the concentric circle laser of marking with the center. Meanwhile, the actuator consists of the programmable logic controller, touch panel and servo drivers which is in the high stability and accuracy. Certainly it is easy to be controlled by the method.

Bridge-structured spherical Ag@synthetic hectorite nanomaterials were prepared and they showed ultrasensitivity for methylene blue in SERS detection.