Safe return route planning method for unmanned aerial vehicle
A return route and drone technology, applied in the field of drones, can solve the problems of inability to store in a large area and the inability to determine the elevation digital map, and achieve the effect of avoiding the risk of crashing.
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[0034] Example one:
[0035] Such as figure 1 with figure 2 As shown, the method for planning a safe return route for a drone of the present invention includes the following steps:
[0036] a. Establish a Cartesian coordinate system: Before the drone takes off, plan the take-off point, route A, and route height on the PC on the ground, using the plane of the route height as the reference plane and the orthographic projection of the take-off point on the plane of the route height. Establish a rectangular coordinate system for the origin P;
[0037] b Determine the azimuth of the route: make an azimuth γ in the Cartesian coordinate system to ensure that the route A is within the range of the azimuth, and the two sides of the azimuth γ form two angles (α, β) with the positive direction of the y-axis ,Α<β;
[0038] c Find the elevation digital map within the range of the azimuth angle: select an angle increment δ, the angle increment δ is: 0.5°; taking α as the starting angle, increase...
Example Embodiment
[0042] Embodiment two:
[0043] Such as figure 1 , figure 2 with image 3 As shown, this embodiment is a further improvement made on the basis of the first embodiment. In the step b, the two sides of the azimuth angle γ are tangent to the route, and the α is the minimum azimuth angle, and the minimum azimuth angle Is the minimum angle between the point on the route and the origin P and the positive y-axis; the β is the maximum azimuth angle, and the maximum azimuth is the line between the point on the route A and the origin P and the y-axis The positive included angle is the angle of the maximum angle.
[0044] working principle: figure 1 with figure 2 Shows a situation, the minimum azimuth angle α is the angle between the origin P and the starting point B of the route and the positive y-axis; the maximum azimuth angle β is the angle between the origin P and the end point C of the route and the positive y-axis ;
[0045] image 3 Another situation is shown. The minimum azimuth ...
Example Embodiment
[0047] Embodiment three:
[0048] This embodiment is a further improvement based on the first embodiment. In the step c, the intersection of the direction vector of the angle increment δ and the route A is the intersection of the route A farthest away from the origin P.
[0049] Working principle: such as figure 2 As shown, the route is a curved path back and forth. When the angle is η, the direction vector of this angle and the route have 5 intersection points (D, D1, D2, D3, D4) in order to ensure a comprehensive detection of the elevation digital map in the route , So choose the intersection D4 that is the farthest from the takeoff point.
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