Print Email Facebook Twitter Challenges in flying quadrotor unmanned aerial vehicle for 3D indoor reconstruction Title Challenges in flying quadrotor unmanned aerial vehicle for 3D indoor reconstruction Author Yan, J. (TU Delft Urban Data Science) Grasso, N. (Politecnico di Torino) Zlatanova, S. (TU Delft Urban Data Science) Braggaar, R.C. (TU Delft OLD Production & Delivery) Marx, D.B. Date 2017 Abstract Three-dimensional modelling plays a vital role in indoor 3D tracking, navigation, guidance and emergency evacuation. Reconstruction of indoor 3D models is still problematic, in part, because indoor spaces provide challenges less-documented than their outdoor counterparts. Challenges include obstacles curtailing image and point cloud capture, restricted accessibility and a wide array of indoor objects, each with unique semantics. Reconstruction of indoor environments can be achieved through a photogrammetric approach, e.g. by using image frames, aligned using recurring corresponding image points (CIP) to build coloured point clouds. Our experiments were conducted by flying a QUAV in three indoor environments and later reconstructing 3D models which were analysed under different conditions. Point clouds and meshes were created using Agisoft PhotoScan Professional. We concentrated on flight paths from two vantage points: 1) safety and security while flying indoors and 2) data collection needed for reconstruction of 3D models. We surmised that the main challenges in providing safe flight paths are related to the physical configuration of indoor environments, privacy issues, the presence of people and light conditions. We observed that the quality of recorded video used for 3D reconstruction has a high dependency on surface materials, wall textures and object types being reconstructed. Our results show that 3D indoor reconstruction predicated on video capture using a QUAV is indeed feasible, but close attention should be paid to flight paths and conditions ultimately influencing the quality of 3D models. Moreover, it should be decided in advance which objects need to be reconstructed, e.g. bare rooms or detailed furniture. Subject 3D modellingChallengesIndoorQuadrotor unmanned aerial vehicle (QUAV) To reference this document use: http://resolver.tudelft.nl/uuid:07be497d-2f81-4839-aa57-d76718b0e32e DOI https://doi.org/10.5194/isprs-archives-XLII-2-W7-423-2017 Publisher ISPRS Source The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W7 Event ISPRS Geospatial Week 2017, 2017-09-18 → 2017-09-22, Wuhan, China Part of collection Institutional Repository Document type conference paper Rights © 2017 J. Yan, N. Grasso, S. Zlatanova, R.C. Braggaar, D.B. Marx Files PDF isprs_archives_XLII_2_W7_ ... 3_2017.pdf 17.24 MB Close viewer /islandora/object/uuid:07be497d-2f81-4839-aa57-d76718b0e32e/datastream/OBJ/view