A method for finding key locations of roads based on skeletal images

Abstract

The present invention provides a method for discovering the key location of the road based on the skeletonized picture, which takes a 2D street map of a certain road, performs median filter processing on the input image, binarizes the image, and performs skeleton line calculation processing, through a third-party library Zoom in, track and obtain the target’s location, orientation angle, and attack range, and obtain all S1 points in the back area; determine the farthest point at a certain angle through calculation, and select the point farthest from the target from the above-mentioned furthest points, That is, this point is the only key point for the target. The above method is mainly used to simulate the scene where two sides are fighting on the street in the future, and one side flexibly attacks the target, so that the decision-making system can automatically find the position where the target is attacked in the blind area of ​​the target field of vision by relying on the UAV to obtain the street map and the position of the target. .

Description

technical field [0001] The invention belongs to the technical field of screening target key positions on a plane street map, relates to an implementation method of performing skeletonization calculation on a plane street map and obtaining key points of a favorable position for a target, and in particular relates to a method for finding key positions of a road based on a skeletonized picture. method. Background technique [0002] In the urban simulation scenario, we usually need to probe the location and orientation of the target, so that our units can flexibly attack the target at the lowest cost. The keypoint is defined as the best position to attack the target outside the target's field of view. The current urban simulation combat system cannot achieve intelligent operation, and usually relies on manpower to judge the key points. At present, it is aimed at finding the best attack position outside the blind spot of the target on the 2D map, knowing the coordinate points a...

AI Technical Summary

Problems solved by technology

The current urban simulation combat system cannot achieve intelligent operation, and usually relies on manpower to judge key points

At present, on the 2D map, in the case of knowing the coordinate points and the angle of view of the target in the map, find the best attack position outside the blind area of ​​the target, that is, the key point, but the existing search for the best attack in the map Most of the location functions are found manually, which takes a lot of time and relies on manual experience, which is prone to errors and will take a long time

Images