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UAV Coverage Path Planning Method by chinthan mm is a document available to read on EtoBox.

This paper presents a clustering-based method for coverage path planning of autonomous heterogeneous UAVs, addressing the NP-Hard problem of finding optimal flight paths to cover multiple regions efficiently. The authors propose an exact formulation using mixed integer linear programming and a clustering algorithm inspired by density-based methods to classify regions and optimize UAV paths. Experiments demonstrate the effectiveness of the proposed approach in enhancing the efficiency of UAV operations in va

Author
chinthan mm
Language
EN