Design Of Vehicle Traffic Monitoring And Display System Based On FPGA+DSP

The current our country road traffic is very grim, in order to ensure the safety of road traffic, but also to the driver in the car reversing the process can accurately grasp the scenery and environment around the vehicle, car traffic monitoring display system has been widely used, especially in recent years, the car in traffic monitoring display system has a very important position in the field of transportation. With the development of precise vehicle traffic monitoring display system, the perfection of real time improvement and distortion correction, has become very urgent. So, it is very necessary design a can effectively improve the system's implementation, and to further improve the image distortion correction of vehicle traffic monitoring display system.Due to the large amount of image information acquisition and high real-time performance, the author constructs the 32 million gate FPGA and DSP real-time image processing hardware platform based on, FPGA is used to image acquisition, and DSP is used to complete the algorithm of data processing, the main contents are as follows:1, first from the overall planning system design, selected the FPGA+DSP architecture of the hardware platform, and FPGA, DSP to achieve the function of division. On this basis, the completion of the FPGA peripheral hardware circuit design and PCB layout design and system board.2, this paper completed the fisheye image distortion correction, geometric correction of the image further. The contrast analysis of the two geometric correction method selection more scientific. "Based on the latitude and longitude of the correction method", on the basis of expansion and extension, increase multiple degree of freedom coefficient, making the application of the original method more flexible, and the fisheye image edge effect school forward problem has been greatly improved.3, completed the actual hardware platform and on the basis of the hardware and software debugging, to achieve the image data acquisition function, verify the image data processing program. Basically reached the pre design of functional indicators, and lay the foundation for further application.