Cooperative coverage path planning for visual inspection. (May 2018) - Mansouri, Sina Sharif
Abstract: This article addresses the inspection problem of a complex 3D infrastructure using multiple Unmanned Aerial Vehicles (UAVs). The main novelty of the proposed scheme stems from the establishment of a theoretical framework capable of providing a path for accomplishing a full coverage of the infrastructure, without any further simplifications (number of considered representation points), by slicing it by horizontal planes to identify branches and assign specific areas to each agent as a solution to an overall optimization problem. Furthermore, the image streams collected during the coverage task are post-processed using Structure from Motion, stereo SLAM and mesh reconstruction algorithms, while the resulting 3D mesh can be used for further visual inspection purposes. The performance of the proposed Collaborative-Coverage Path Planning (C-CPP) has been experimentally evaluated in multiple indoor and realistic outdoor infrastructure inspection experiments and as such it is also contributing significantly towards real life applications for UAVs. Highlights: A Cooperative Coverage Path Planning is proposed. Inspection of a complex 3D infrastructure using multiple UAVs is investigated. An offline path planning is developed to generate multiple paths for each agent. The image streams collected during the coverage task are post-processed. The performance of the proposed method has been experimentally evaluated.