19.9.8 Aerial Vehicle Based Structure, UAV, Depth, and Shape from Motion

Chapter Contents (Back)
Motion, Structure. Shape from Motion. Navigation.
See also Large-Scale Shape from Motion.
See also Visual Odometry, Distance Measurments from Vision, Motion.

Sridhar, B., Suorsa, R.E., Hussien, B.,
Passive Range Estimation for Rotorcraft Low-Altitude Flight,
MVA(6), 1993, pp. 10-24. BibRef 9300

Mancini, F.[Francesco], Dubbini, M.[Marco], Gattelli, M.[Mario], Stecchi, F.[Francesco], Fabbri, S.[Stefano], Gabbianelli, G.[Giovanni],
Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments,
RS(5), No. 12, 2013, pp. 6880-6898.
DOI Link 1402
BibRef

Westfeld, P.[Patrick], Mader, D.[David], Maas, H.G.[Hans-Gerd],
Generation of TIR-attributed 3D Point Clouds from UAV-based Thermal Imagery,
PFG(2015), No. 5, 2015, pp. 381-393.
DOI Link 1512
Thermal IR. Structure from motion. BibRef

Shao, Z.F.[Zhen-Feng], Yang, N.[Nan], Xiao, X.W.[Xiong-Wu], Zhang, L.[Lei], Peng, Z.[Zhe],
A Multi-View Dense Point Cloud Generation Algorithm Based on Low-Altitude Remote Sensing Images,
RS(8), No. 5, 2016, pp. 381.
DOI Link 1606
BibRef

Sturdivant, E.J.[Emily J.], Lentz, E.E.[Erika E.], Thieler, E.R.[E. Robert], Farris, A.S.[Amy S.], Weber, K.M.[Kathryn M.], Remsen, D.P.[David P.], Miner, S.[Simon], Henderson, R.E.[Rachel E.],
UAS-SfM for Coastal Research: Geomorphic Feature Extraction and Land Cover Classification from High-Resolution Elevation and Optical Imagery,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
Shape from motion. BibRef

Koci, J.[Jack], Jarihani, B.[Ben], Leon, J.X.[Javier X.], Sidle, R.C.[Roy C.], Wilkinson, S.N.[Scott N.], Bartley, R.[Rebecca],
Assessment of UAV and Ground-Based Structure from Motion with Multi-View Stereo Photogrammetry in a Gullied Savanna Catchment,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Jiang, S.[San], Jiang, W.[Wanshou],
Efficient structure from motion for oblique UAV images based on maximal spanning tree expansion,
PandRS(132), No. 1, 2017, pp. 140-161.
Elsevier DOI 1710
Unmanned aerial vehicle BibRef

Jiang, S.[San], Jiang, W.[Wanshou],
Hierarchical motion consistency constraint for efficient geometrical verification in UAV stereo image matching,
PandRS(142), 2018, pp. 222-242.
Elsevier DOI 1807
Unmanned aerial vehicle, Geometrical verification, Motion consistency constraint, Image matching, Spatial matching BibRef

Sanz-Ablanedo, E.[Enoc], Chandler, J.H.[Jim H.], Rodríguez-Pérez, J.R.[José Ramón], Ordóñez, C.[Celestino],
Accuracy of Unmanned Aerial Vehicle (UAV) and SfM Photogrammetry Survey as a Function of the Number and Location of Ground Control Points Used,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Jiang, S.[San], Jiang, W.[Wanshou],
Efficient SfM for Oblique UAV Images: From Match Pair Selection to Geometrical Verification,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Huang, Y., Sithole, L., Lee, T.,
Structure From Motion Technique for Scene Detection Using Autonomous Drone Navigation,
SMCS(49), No. 12, December 2019, pp. 2559-2570.
IEEE DOI 1912
Drones, Feature extraction, Streaming media, Cameras, Global Positioning System, structure from motion (SfM) BibRef

de Marco, J.[Jessica], Maset, E.[Eleonora], Cucchiaro, S.[Sara], Beinat, A.[Alberto], Cazorzi, F.[Federico],
Assessing Repeatability and Reproducibility of Structure-from-Motion Photogrammetry for 3D Terrain Mapping of Riverbeds,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Miclea, V.C.[Vlad-Cristian], Nedevschi, S.[Sergiu],
Monocular Depth Estimation With Improved Long-Range Accuracy for UAV Environment Perception,
GeoRS(60), 2022, pp. 1-15.
IEEE DOI 2112
Feature extraction, Drones, Estimation, Task analysis, Laser radar, Cameras, Sensors, 3-D reconstruction, aerial, unmanned aerial vehicle (UAV) BibRef

Gruszczynski, W.[Wojciech], Puniach, E.[Edyta], Cwiakala, P.[Pawel], Matwij, W.[Wojciech],
Correction of Low Vegetation Impact on UAV-Derived Point Cloud Heights With U-Net Networks,
GeoRS(60), 2022, pp. 1-18.
IEEE DOI 2112
Vegetation mapping, Training, Task analysis, Earth, Unmanned aerial vehicles, Surface treatment, unmanned aerial vehicle (UAV) BibRef


Pirvu, M.[Mihai], Robu, V.[Victor], Licaret, V.[Vlad], Costea, D.[Dragos], Marcu, A.[Alina], Slusanschi, E.[Emil], Sukthankar, R.[Rahul], Leordeanu, M.[Marius],
Depth distillation: unsupervised metric depth estimation for UAVs by finding consensus between kinematics, optical flow and deep learning,
EVW21(3209-3217)
IEEE DOI 2109
Measurement, Deep learning, Training, Geometry, Pipelines, Estimation, Kinematics BibRef

Leotta, M.J., Smith, E., Dawkins, M., Tunison, P.,
Open source structure-from-motion for aerial video,
WACV16(1-9)
IEEE DOI 1606
Algorithm design and analysis BibRef

Caroti, G., Martínez-Espejo Zaragoza, I., Piemonte, A.,
Accuracy Assessment in Structure from Motion 3D Reconstruction from UAV-Born Images: The Influence of the Data Processing Methods,
UAV-g15(103-109).
DOI Link 1512
BibRef

Zingoni, A.[Andrea], Diani, M.[Marco], Corsini, G.[Giovanni], Masini, A.,
Real-Time 3D Reconstruction from Images Taken from an UAV,
GeoUAV15(313-319).
DOI Link 1602
BibRef

Mader, D., Blaskow, R., Westfeld, P., Maas, H.G.,
UAV-Based Acquisition of 3D Point Cloud: A Comparison of a Low-Cost Laser Scanner and SFM-Tools,
GeoUAV15(335-341).
DOI Link 1602
BibRef

Wendel, A.[Andreas], Maurer, M.[Michael], Graber, G.[Gottfried], Pock, T.[Thomas], Bischof, H.[Horst],
Dense reconstruction on-the-fly,
CVPR12(1450-1457).
IEEE DOI 1208
Literally. micro-aerial vehicle. BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Ground Vehicle Based Structure, Depth, and Shape from Motion .


Last update:Sep 27, 2025 at 16:28:57