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