Optimal path planning method based on three-dimensional low-altitude visual flight

Abstract

An optimal path planning method based on three-dimensional low-altitude visual flight comprises the steps of constructing a three-dimensional measurable model, establishing a spatial database, constructing a flight image primitive network, calculating a flight area, planning a flight path and the like. According to the method, the impedance value of the gridding primitive network can be obtained based on the full-space database of the three-dimensional measurable model and containing accurate gridding geographic entity data, the flight picture primitive network corresponding to the full-space database is constructed, automatic flight of aircrafts such as unmanned aerial vehicles can be achieved, and a driver does not need to visually correct a flight route through landmarks.

Description

technical field [0001] The invention relates to a low-altitude visual chart path planning technology, in particular to a three-dimensional low-altitude visual flight optimal path planning method. Background technique [0002] At present, there is no complete professional aviation chart, and there are no important chart elements and navigation information such as flight procedures in the visual flight chart, and there are no electronic flight bags and three-dimensional maps for low-altitude charts. Although the commonly known electronic chart is a very professional chart software, the most important flight procedures are based on two-dimensional maps, which are divided into horizontal and vertical profiles. The basic elements on it include topography, settlements, and roads. , coastlines, airports, mountains, rivers, lakes, seas, altitudes of important peaks, important landmarks, important obstacles, and altitudes. Pilots can guide the flight path based on charts and visual ...

AI Technical Summary

Problems solved by technology

[0006] In the prior art, there is no optimal flight path planning method based on three-dimensional low-altitude aerial charts that can fly automatically and does not require the driver to correct the route with visual landmarks

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