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This work presents the first quantitative study of alignment errors between small uncrewed aerial systems (sUAS) georectified imagery and a priori building polygons and finds that alignment errors are non-uniform and irregular, which negatively impacts field robotics systems and human-robot interfaces that rely on geospatial information.
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S. Honig and T. Oron-Gilad, “Understanding and resolving failures in human-robot interaction: Literature review and model development,” Frontiers in psychology , vol. 9, p. 861, 2018
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A. Zampieri, G. Charpiat, N. Girard, and Y. Tarabalka, “Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing,” in Proceedings of the European Conference on Computer Vision (ECCV) , 2018, pp. 657–673
2018
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S. Azim, J. Rasmussen, J. Nielsen, R. Gislum, M. S. Laursen, and S. Christensen, “Manual geo-rectification to improve the spatial accuracy of ortho-mosaics based on images from consumer-grade unmanned aerial vehicles (uavs),” Precision agriculture , vol. 20, pp. 1199–1210, 2019
2019
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R. G. Congalton and K. Green, Assessing the accuracy of remotely sensed data: principles and practices . CRC press, 2019
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N. Girard, G. Charpiat, and Y. Tarabalka, “Aligning and updating cadaster maps with aerial images by multi-task, multi-resolution deep learning,” in Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part V 14 . Springer, 2019, pp. 675–690
2019
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M. Kunz, A. Vierling, P. Wolf, and K. Berns, “Localization using osm landmarks,” in 2021 Latin American Robotics Symposium (LARS), 2021 Brazilian Symposium on Robotics (SBR), and 2021 Workshop on Robotics in Education (WRE) . IEEE, 2021, pp. 228–233
2021
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A. Maiti, S. Oude Elberink, and G. Vosselman, “Effect of label noise in semantic segmentation of high resolution aerial images and height data,” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , vol. 2, pp. 275–282, 2022
2022
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T. Manzini, R. Murphy, and D. Merrick, “Quantitative data analysis: Crasar small unmanned aerial systems at hurricane ian,” in 2023 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) . IEEE, 2023, pp. 7–12
2023
Later among the works it cites.
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2019
Cited alongside, same era.
I.-K. Hung, D. Unger, D. Kulhavy, and Y. Zhang, “Positional precision analysis of orthomosaics derived from drone captured aerial imagery,” Drones , vol. 3, no. 2, p. 46, 2019
2019
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K. Merry and P. Bettinger, “Smartphone gps accuracy study in an urban environment,” PloS one , vol. 14, no. 7, p. e0219890, 2019
2019
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J. E. Vargas-Muñoz, S. Lobry, A. X. Falcão, and D. Tuia, “Correcting rural building annotations in openstreetmap using convolutional neural networks,” ISPRS journal of photogrammetry and remote sensing , vol. 147, pp. 283–293, 2019
2019
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2020
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M. Ludwig, C. M. Runge, N. Friess, T. L. Koch, S. Richter, S. Seyfried, L. Wraase, A. Lobo, M.-T. Sebastià, C. Reudenbach et al. , “Quality assessment of photogrammetric methods—a workflow for reproducible uas orthomosaics,” Remote Sensing , vol. 12, no. 22, p. 3831, 2020
2020
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“Microsoft us building footprints,” https://github.com/Microsoft/USBuildingFootprints, 2021
2021
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2023
Later among the works it cites.
2024
Closest in time.
Maxar, “Clarity and confidence how high-resolution satellite imagery can help you extract critical information at scale,” https://explore.maxar.com/Imagery-Leadership-Spatial-Resolution, 2024
2024
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——, “Here or there? how accuracy in satelliete imagery impacts your operations and outcomes,” https://explore.maxar.com/Imagery-Leadership-Accuracy.html, 2024
2024
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A. Rao, A. Hargis, D. Wettergreen, and H. Choset, “Optimizing start locations in ergodic search for disaster response,” in 2024 IEEE International Symposium on Safety Security Rescue Robotics (SSRR) , 2024, pp. 210–215
2024
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A. Rao, G. Sartoretti, and H. Choset, “Learning heterogeneous multi-agent allocations for ergodic search,” in 2024 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2024, pp. 12 345–12 352
2024
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