An Optimal Path Planning Method Based on 3D Low Altitude Visual Flight

Abstract

An optimal path planning method based on three-dimensional low-altitude visual flight, including steps such as constructing a three-dimensional measurable model, establishing a spatial database, constructing an aeronautical chart primitive network, calculating the flight area, and planning a flight route. A full-spatial database containing precise gridded geographic entity data, obtaining the impedance value of the gridded primitive network, and constructing an aeronautical chart primitive network corresponding to the full-spatial database can realize automatic flight of drones and other aircraft without The pilot corrects the course by visual 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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