A Survey on Approximation Algorithms for Path Planning of UAVs 


Vol. 43,  No. 1, pp. 161-167, Jan.  2018
10.7840/kics.2018.43.1.161


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  Abstract

As exploiting Unmanned Aerial Vehicles (UAVs) as mobile elements is a new research trend recently, approximation algorithms to solve path planning problems for UAVs are promising approaches. In this paper, we divide problems in two main objectives, cost and reward. We introduce some representative approximation algorithms, which focus on maximizing reward or minimizing travel time. Particularly, we explore path planning for each node visit within different time deadline. In recent works, researchers extend classic algorithms to distributed path planning algorithms for multiple UAVs.

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  Cite this article

[IEEE Style]

J. Yoon and H. Lee, "A Survey on Approximation Algorithms for Path Planning of UAVs," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 1, pp. 161-167, 2018. DOI: 10.7840/kics.2018.43.1.161.

[ACM Style]

JinYi Yoon and HyungJune Lee. 2018. A Survey on Approximation Algorithms for Path Planning of UAVs. The Journal of Korean Institute of Communications and Information Sciences, 43, 1, (2018), 161-167. DOI: 10.7840/kics.2018.43.1.161.

[KICS Style]

JinYi Yoon and HyungJune Lee, "A Survey on Approximation Algorithms for Path Planning of UAVs," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 1, pp. 161-167, 1. 2018. (https://doi.org/10.7840/kics.2018.43.1.161)