2011 6th IEEE Conference on Industrial Electronics and Applications 2011
DOI: 10.1109/iciea.2011.5975758
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A hybrid approach of virtual force and A<sup>&#x2217;</sup> search algorithm for UAV path re-planning

Abstract: This article is concerned with the UAV path replanning problem to be solved by using a novel approach based on the hybrid of virtual force and A* search algorithm (HVFA). The formulation of the UAV path re-planning is presented, and the hybrid system model of virtual force (VF) is given. The scheme of path re-planning is designed and the corresponding computational complexity is analyzed quantitatively. Simulation results prove the feasibility and usefulness of using HVFA for UAV path re-planning. Performance … Show more

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Cited by 42 publications
(24 citation statements)
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“…Its advantage is omitting a large number of invalid results and improving the efficiency of Figure 3. The MAKLINK graph searching [13]. The cost function of A* algorithm can be expressed as follow:…”
Section: B Searching For a Sketchy Path Using A* Algorithmmentioning
confidence: 99%
“…Its advantage is omitting a large number of invalid results and improving the efficiency of Figure 3. The MAKLINK graph searching [13]. The cost function of A* algorithm can be expressed as follow:…”
Section: B Searching For a Sketchy Path Using A* Algorithmmentioning
confidence: 99%
“…This path planning method is well-known as the Dijkstra algorithm [11]. By further utilizing the heuristic searching process, the A* algorithm was developed and achieved higher efficiency compared to the Dijkstra algorithm [12][13][14][15]. The A* method has been applied in an urban area, avoiding the problem of quadcopters crashing into buildings by constructing constraints of obstacles [16].…”
Section: Introduction 30mentioning
confidence: 99%
“…Nowadays, most of route planning algorithm is based on the certain and static environment such as Dijkstra [1] algorithm and A* algorithm [2][3] . With the development of the air-defense system and the transformation of combat thinking, the autonomous route planning is imperative.…”
Section: Introductionmentioning
confidence: 99%