Key Technology Research For Tank Panoramic System

With the rapid development of science and technology, the system withpanoramic view on car is widely used. In military, equipment always gets to the edgeof latest technology. As Military Supplies and weapons become more complex, weare focusing on a vision system, and propose a panoramic view system to beincorporated for enhancing the feature on a tank at here.Through placing four fish-eyecameras around the tank which can cover all the field of view, four images collectedby the system at the same time will form a360-degree-surrounding panoramic viewafter Fisheye image correction, bird’s-eye view overlooking transform, and imagesplicing of panorama looking around. The panorama looking around diagrams isdisplayed with the status of the top view. This can make the tank drivers clearly knowthe situation around the tank at any time and eliminate the visual blind spot aroundtanks, to find whether there are obstacles and the relative position and distance. Thishelps tank drivers driving the tanks easily.This paper mainly applied to the tank panoramic look around system, we boughta simple tank model, built the initial system based on the PC, studies and verifies thekey algorithm. Firstly we bring up the concrete implementation method of the thepanoramic looking around system in tanks, analyze the steps to enforce this systemand the key technical issues which need to be solved. Fixing the fish-eye cameraaround the tank model, shooting fish eye video image, the process of image treatingincludes the following aspects:(1) real-time collection of the video image, get fisheyeimage, research the methods of distortion correction of fisheye image, check thealgorithm of distortion correction, confirm the positioning method based on sphericalcoordinates for image distortion correction.(2) transform the side view taken by thefour fish-eye cameras around the tanks into a plan view, after optimization, obtain abird’s-eye view transformation matrices in plan view more precisely by using themethod of manual calibration of the board.(3) study the video image stitching method,use an accurate, fast stitching algorithm method, optimize the design andimplementation of the splicing process, validation and optimization of the stitchingalgorithm, and ultimately get a panoramic look around map. The experimental results show that the fish eye image distortion correctionalgorithms and the panoramic look around stitching algorithm this paper studied aresimple and fast, and the panoramic look around figure they get is ideal, and meet theneeds of the system design.