Research On 360° Panoramic Parking Assistant Based On ADSP-BF609

More and more cars in daily life,urban road environment is increasingly congested,especially due to the shortage of parking spaces and other objective conditions,it is difficult to easily enter or even scratching when parking,causing unnecessary trouble.With the iterations of automotive electronics,it has recently developed an advanced parking assist system,the 360 degree panoramic parking assist system,which provides 360-degree realtime bird's-eye view of the vehicle to the driver,giving the driver easy parking to provide efficient assist.This paper deeply studies the key technology of the 360 degree panoramic parking assist system,and designs a simple scheme to realize the 360 degree panoramic bird's-eye view.First the paper introduces the overall design of the 360 panoramic parking assist system,mainly introducing the basic structure for the simple completion of the entire system.Mainly including the video capture module,the image processing module,the storage module and the display module.And then introducing the specific hardware circuit and the connection each other of the entire scheme.That is to say,the ADI ADSP-BF609 chip is used as the core processing unit of the system,and four 180-degree CMOS fish-eye cameras are used as the capture unit of the 360-degree panorama image around the vehicle,the LCD display is used as the display unit.The specific connection is: first four CMOS cameras connected video codec chip TW2866,digitized the analog video data,and then transmit to the processor for processing through the BF609 EPPI0,after processing and then through the TW2866 encoding output to the display.After,the introduction is used in the specific programming of the entire system software algorithm,including camera calibration,fish eye correction,IPM transformation,panoramic stitching.First,through the 20 calibration images to calibrate the camera to obtain the fisheye camera internal parameters and distortion coefficient,and then use these parameters for distortion correction,and Then,the video image with the perspective effect of the front and the back of the vehicle is converted into the bird's-eye view by the IPM algorithm.Through the way of lookup table(LUT)creating a panoramic view of the bird's eye view.Through the CCES integrated development environment to complete the software development and system debugging,using the Open CV3.0 and VS2013 to complete simulation and test analysis of the system algorithm.Finally,summarizing and forecasting.