A Complete Coverage Algorithm for 3D Structural Inspection Using an Autonomous Unmanned Aerial Vehicle

Garlapati, Venkat (University of Nebraska, Omaha) | Dasgupta, Prithviraj (University of Nebraska, Omaha)

AAAI Conferences 

This paper presents a novel algorithm for complete coverage of three-dimensional structures to address the problem of autonomous structural inspection using an Unmanned Aerial Vehicle (UAV). The proposed approach uses a technique of cellular decomposition based on Morse decomposition to decompose the 3D target structure into 2D coverable faces that are subsequently connected using a graph-based representation. We then use graph traversal techniques such as the Traveling Salesman Problem (TSP) to generate a flight coverage path through the decomposed faces for a UAV to completely cover the target structure, while reducing the coverage time and distance. Experimental results show that our approach guarantees complete coverage of the target structure.

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