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geobits: ArUco Ground Control Point Targets and Detection for Aerial Imagery (UAV/MAV).
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README.md

geoBits: ArUco Ground Control Point (GCP) Targets and Detection for Aerial Imagery (UAV/MAV/SAT).

http://geobits.io

https://dronemapper.com

TAGS: openCV, ArUco, QR Code, GCP, Drones, Ground Control Points, DroneMapper, Manned Aircraft, Aerial Imagery, Remote Sensing

Overview:

We've developed an aerial ground control point target system similar to a QR code. Our GCP targets are digitally encoded fiducial markers with computer vision software functionality to enhance workflows and provide the highest accuracy possible for photogrammetry missions.

Build:

Download and build opencv3 and opencv_contrib.

Next, build geoBits with the following commands:

$ mkdir build ; cd build

$ export OpenCV_DIR=/opt/OPENCV3_DIR/; cmake ...

$ make

Use:

$ ./build/drnmppr-detect-marker -d=0 -i=img/DJI_0040.JPG -l=0.161 -dp=detector_params.yml
DM-0 img/DJI_0040.JPG 1644.65 2391.85
DM-1 img/DJI_0040.JPG 2049.15 1130.93

Notes:

Printable 10000x10000 pixel markers are in the markers directory.

Cite Us:

If you use geoBits, please cite it as:

@misc{aruco-geobits,
  author = "JP Stoermer and Pierre Stoermer",
  title = "geoBits",
  howpublished = "\url{https://github.com/dronemapper-io/aruco-geobits}",
}

Contact:

JP Stoermer & Pierre Stoermer @ https://dronemapper.com

Screenshots:

Optional camera/sensor calibration:

Integrations & Uses:

  • Integrated into DroneMapper Remote Expert GCP tool and QA tools (Windows 10) https://dronemapper.com
  • Integrated into Bayer Crop Science UAV/MAV/SAT imagery processing pipeline (Private Cloud) https://bayer.com
  • Used for various R&D missions and aerial image projects for DroneMapper.com and clients
  • Used for various Agriculture R&D projects for AgEcoSystems, Syngenta and others
  • Cited and included in patent submissions for Remote Oil Tank Volumetric Estimation
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