Existing Path Planning Techniques in Unmanned Aerial Vehicles (UAVs): A Systematic Review

Anshu Vashisth, Ranbir Singh Batth, Rupert Ward

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In recent times Unmanned Aerial Vehicle developed promptly and broadly used in many areas like reconstruction rescue and monitoring. In all the areas one important key challenge is path planning which tells UAVs that where to fly and how to find a path. The Multiple consideration is to be considered for an ideal path planning which includes path completeness, optimality. The execution of path planning becomes a challenging task in terms of trajectory generation and also require careful consideration. Unmanned Aerial Vehicle (UAV) path planning techniques have been extensively studied and involve two key stages. First, 3-D objects and obstacles (static and dynamic) are identified. Second, these objects and obstacles are mapped to plan an appropriate path. In the context of UAVs, we can explain path planning techniques in terms of roadmaps/Voronoi diagrams (a representation technique), or we can adopt an optimization approach using either cooperative or non-cooperative techniques. These two approaches, and the techniques used in each, are summarized in terms of the key factors that have been discussed in the context of UAVs. This paper, enables future studies to easily compare with existing and previous studies.

Original languageEnglish
Title of host publicationProceedings of 2nd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2021
EditorsVishal Naranje, Bhopendra Singh, Senthil Velan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages366-372
Number of pages7
ISBN (Electronic)9781665429214
ISBN (Print)9781665429221
DOIs
Publication statusPublished - 28 Apr 2021
Event2nd IEEE International Conference on Computational Intelligence and Knowledge Economy - Dubai, United Arab Emirates
Duration: 17 Mar 202118 Mar 2021
Conference number: 2

Conference

Conference2nd IEEE International Conference on Computational Intelligence and Knowledge Economy
Abbreviated titleICCIKE 2021
CountryUnited Arab Emirates
CityDubai
Period17/03/2118/03/21

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