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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Aircraft Inspection Using Unmanned Aerial Vehicles

Almadhoun, Randa, Taha, Tarek, Seneviratne, Lakmal, Dias, Jorge and Cai, Guowei (2016) Aircraft Inspection Using Unmanned Aerial Vehicles. nternational Micro Air Vehicles, Conferences and Competitions Proceedings. pp. 1-7.

Item Type: Article


In this paper, we propose a coverage planning algorithm for inspecting an aircraft, using an Unmanned Ariel Vehicle (UAV). Inspecting structures (e.g., bridges, buildings, ships, wind turbines, aircrafts) is considered a hard task for humans to perform, and of critical nature since missing any detail could affect the structure’s performance and integrity. Additionally, structure inspection is a time and resource intensive task that should be performed as efficiently and accurately as possible. In this paper we introduce a search space coverage path planner (SSCPP) with a heuristic reward function that exploits our knowledge of the structure model, and the UAV’s onboard sensors’ models to generate resolution optimal paths that maximizes coverage. The proposed method follows a model-based coverage path planning approach to generate an optimized path that passes through a set of admissible waypoints to fully cover a complex structure. The algorithm predicts the coverage percentage by using an existing model of the complex structure as a reference. A set of experiments were conducted in a simulated environment to test the validity of the proposed algorithm.

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Depositing User: Randa Almadhoun


Item ID: 16466
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Users with ORCIDS

ORCID for Randa Almadhoun: ORCID iD
ORCID for Tarek Taha: ORCID iD
ORCID for Lakmal Seneviratne: ORCID iD
ORCID for Jorge Dias: ORCID iD

Catalogue record

Date Deposited: 23 Nov 2023 17:14
Last Modified: 23 Nov 2023 17:14


Author: Randa Almadhoun ORCID iD
Author: Tarek Taha ORCID iD
Author: Lakmal Seneviratne ORCID iD
Author: Jorge Dias ORCID iD
Author: Guowei Cai

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