https://github.com/dronemapper-io/aruco-geobits

geobits: ArUco Ground Control Point Targets and Detection for Aerial Imagery (UAV/MAV).
https://github.com/dronemapper-io/aruco-geobits

dronemapper drones gcp geospatial gis ground-control-point imagery opencv photogrammetry remote-sensing

Last synced: 3 months ago
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geobits: ArUco Ground Control Point Targets and Detection for Aerial Imagery (UAV/MAV).

• Host: GitHub
• URL: https://github.com/dronemapper-io/aruco-geobits
• Owner: dronemapper-io
• License: mit
• Created: 2019-04-11T16:23:50.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-05-08T16:27:17.000Z (over 6 years ago)
• Last Synced: 2025-06-25T14:49:35.661Z (4 months ago)
• Topics: dronemapper, drones, gcp, geospatial, gis, ground-control-point, imagery, opencv, photogrammetry, remote-sensing
• Language: C++
• Homepage: https://dronemapper.com
• Size: 19.4 MB
• Stars: 46
• Watchers: 4
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 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.

![](img/readme_geobits_16.png)

![](img/readme_overview.png)

#### 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.

![](img/readme_target_construction.png)

#### 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:

![](img/readme_detected.png)

Optional camera/sensor calibration:

![](img/dji-phantom3-calib-result.PNG)

#### 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