https://doi.org/10.25678/000011

raycast: multi-view object detection in UAV image clouds (case-study data)

This package contains image data for conducting multi- and single-view sewer inlet detection in UAV image clouds. The package consists in: - individual UAV images, taken with high overlap and corrected for lens distortion - orthophoto of the case study area, clipped to road boundaries

Dataset extent

Data and Resources

Citation

Moy de Vitry, M. (2018). raycast: multi-view object detection in UAV image clouds (case study data). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/000011

Metadata

Open Data Open Data
Author
  • Moy de Vitry, Matthew
Keywords UAV,infrastructure mapping,multi-view,object detection,unmanned aerial vehicle,urban drainage,none
Systems
  • Urban Drainage System
Timerange
  • 2014-01 TO 2014-01
Geographic Name(s)
  • Adliswil
Review Level none
Curator Moy de Vitry, Matthew
Contact matthew.moydevitry@eawag.ch
DOI 10.25678/000011