2014 IEEE Aerospace Conference 2014
DOI: 10.1109/aero.2014.6836520
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Three-dimensional path planning for unmanned aerial vehicles based on fluid flow

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Cited by 23 publications
(17 citation statements)
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“…For decades, a lot of achievements have been made to develop guidance technologies for the UAV rendezvous problem. [1][2][3] One of the most mature technologies is the classical proportional navigation guidance (PNG). 4 After that, many improved proportional navigation guidance (IPNG) schemes have been evolved based on PNG.…”
Section: Introductionmentioning
confidence: 99%
“…For decades, a lot of achievements have been made to develop guidance technologies for the UAV rendezvous problem. [1][2][3] One of the most mature technologies is the classical proportional navigation guidance (PNG). 4 After that, many improved proportional navigation guidance (IPNG) schemes have been evolved based on PNG.…”
Section: Introductionmentioning
confidence: 99%
“…The paths calculated by this method have the following properties. 26 (1) Except stagnation points where the velocity of the fluid is 0, paths can avoid local minima. (2) In the area far from obstacles, paths maintain the initial direction along straight line.…”
Section: Path Planning Methods Based On Fluid Computingmentioning
confidence: 99%
“…To overcome the shortcomings of analytical and numerical methods, on the basis of the method in Ref., 26 in this paper we model the complex terrain environment as spherical, conical, cylindrical and parallelepiped geometry and combinations thereof and study the analytical path planning method in the presence of obstacles in these shapes. Simulation results demonstrate that the proposed method can plan smooth path which satisfies the maneuverability constraints on UAV in complex environment.…”
Section: Introductionmentioning
confidence: 99%
“…Based on equation (15), we obtain the iterative scheme of four point-block iterative method that can be expressed as (16) where By adding a weighted parameter, ω, equation (16) can be rewritten as (17) Equation (17) represents the Four Point-Block SOR (4-BLSOR) iterative method. The algorithm to implement 4-BLSOR method is described below:…”
Section: Block Of Four Points Methodsmentioning
confidence: 99%
“…In the past, an exact method based on the HPFs were applied in many area of researches including ship navigation [5], trajectory control [6], space robot path planning [7], navigation of snake-like robot [8], UAV motion planning [9], marine vessel path planning [10], 3D motion planning for UAV [11,12], space exploration [13], etc. In robot navigation problem, the HPFs were successfully applied in various types of environments [14][15][16][17][18][19][20]. As an exact method, the approach based on HPFs posses the advantage of complete algorithm property to guarantee that the solutions can be found if they exist, or otherwise the algorithm can detect when no solution exists.…”
Section: Introductionmentioning
confidence: 99%