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Structure Design of Surveillance Location-Based UAV Motor Primitives
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 Title & Authors
Structure Design of Surveillance Location-Based UAV Motor Primitives
Kwak, Jeonghoon; Sung, Yunsick;
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 Abstract
Recently, the surveillance system research has focused because Unmanned Aerial Vehicle(UAV) has the ability to monitor wide area. When the wide area are monitored, controlling UAVs repeatedly by pilots invokes the cost problem to operate UAVs. If monitoring path can be defined in advance, the cost problem can be solved by controlling UAVs autonomously based on the monitoring path. The traditional approach generates multiple motor primitives based on flied GPS locations. However, the monitoring points by UAVs are not considered by the generated motor primitives, the surveillance by UAVs is not performed properly. This paper proposes a motor primitive structure for surveillance UAVs to be flied autonomously. Motor primitives are generated automatically by setting surveillance points to denote surveillance targets accurately.
 Keywords
Unmanned Aerial Vehicle;Ground Control System;Motor Primitive;Global Positioning System;Demonstration-Based Learning;
 Language
Korean
 Cited by
1.
Unmanned Aerial Vehicle Flight Point Classification Algorithm Based on Symmetric Big Data, Symmetry, 2016, 9, 1, 1  crossref(new windwow)
 References
1.
S. Yahyanejad, D. Wischounig-Strucl, M. Quaritsch, and B. Rinner, "Incremental mosaicking of images from autonomous, small-scale uavs," 2010 Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Boston, MA, USA, pp.329-336, Aug., 29-Sept., 1, 2010.

2.
Lucas Vago Santana, Alexandre Santos Brandao, and Mario Sarcinelli-Filho, "Outdoor Waypoint Navigation with the AR.Drone Quadrotor," 2015 International Conference on Unmanned Aircraft Systems (ICUAS), Denver, Colorado, USA, pp.303-311, June, 9-12, 2015.

3.
Yunsick Sung, Jeonghoon Kwak, and Jong Hyuk Park, "Graph-based motor primitive generation framework: UAV motor primitives by demonstration-based learning," Humancentric Computing and Information Sciences, Vol.5, No.35, pp.1-9, 2015. crossref(new window)