Yaw, Pitch, Roll and Omega, Phi, Kappa angles define the orientation of the drone or the camera during the image acquisition.

The main difference between the two sets of angles is:

- Yaw, Pitch, Roll angles define the rotation of a body, for example,
**aircraft or a drone**with respect to its navigation coordinate system. Mostly used by drone manufacturers. - Omega, Phi, Kappa angles define the rotation between the
**image coordinate system**and a projected coordinate system. Mostly used in photogrammetry software.

**IN THIS ARTICLE**

Yaw, Pitch, Roll definition

Omega, Phi, Kappa definition

How to convert Yaw, Pitch, Roll to Omega, Phi, Kappa

Using Omega, Phi, Kappa and Yaw, Pitch, Roll angles in Pix4D

## Yaw, Pitch, Roll definition

Yaw, Pitch, Roll angles define the relation between the navigation coordinate system and the body coordinate system. The coordinate systems and rotations are defined as:

### Example

Assuming that the camera is mounted such that the camera looks down and the top of the image points to the front of the aircraft, the yaw, pitch, roll angles are defined as follows:

**Yaw**

- If yaw = 0° and the camera is looking to the ground (i.e. nadir), it means that the top of the image points to the north.
- If yaw = 90° and the camera is looking nadir, it means that the top of the image points to the east.
- If yaw = 270° and the camera is looking nadir, it means that the top of the image points to the west.

**Pitch**

- If pitch = 0°, it means that the camera is looking down (i.e. nadir).
- If pitch = 90°, it means that the camera is looking forward.

**Roll**

- If using a gimbal, this value is usually 0°.

**Some more examples:**

- yaw = 0°, pitch = 0°, roll = 0° means: the camera is nadir (looking down perpendicular to the ground), the top of the image points to the north.
- yaw = 0°, pitch = 90°, roll = 0° means: the camera is looking forward from the aircraft, towards north.
- yaw = 90°, pitch = 0°, roll = 0° means: the camera is nadir (looking down perpendicular to the ground), the top of the image points to the east.

## Omega, Phi, Kappa definition

The omega, phi, kappa angles are defined as the angles used in order to rotate a (X, Y, Z) geodetic coordinate system and align it with the image coordinate system. The rotations are applied in the following order:

- Kappa (κ), the rotation around the Z axis.
- Phi (φ), the rotation around the Y axis.
- Omega (ω), the rotation around the Χ axis

Rotation around the Z-axis (Kappa) | Rotation around the Y-axis (Phi) | Rotation around the X-axis (Omega) |

Exterior orientation rotations/angles. |

More information about the coordinate system definition see the How are the Internal and External Camera Parameters defined? article.

## How to convert Yaw, Pitch, Roll to Omega, Phi, Kappa

Successfully converting from Yaw, Pitch, and Roll to Omega, Phi, and Kappa depends on several factors, including the camera's position on Earth.

There are many ways to convert Yaw, Pitch, and Roll to Omega, Phi, and Kappa. Pix4D's method is described in the attached documents:

- Yaw, Pitch, Roll, and Omega, Phi, Kappa angles and conversion - Pix4D companion notes, 2021 (150 KB)
- How are the Internal and External Camera Parameters defined?
- M. Bäumker and F.J. Heimes, New Calibration and Computing Method for Direct Georeferencing of Image and Scanner Data Using the Position and Angular Data of an Hybrid Inertial Navigation System, Proceedings of OEEPE Workshop on Integrated Sensor Orientation, 2002 (400 KB)

## Using Omega, Phi, Kappa and Yaw, Pitch, Roll angles in Pix4D

### Importing angle values into Pix4D

Pix4D has worked with a number of UAV partners to automatically calculate Omega, Phi, and Kappa using Yaw, Pitch, and Roll stored in a flight log that belongs to any of our listed UAV manufacturers: Input files.

### Processing options

Accurate angle values can be incorporated to accelerate processing time and produce more accurate results using the **Accurate Geolocation and Orientation** Calibration Method: Menu Process > Processing Options... > 1. Initial Processing > Calibration.

For more information see FAQ on the accurate geolocation pipeline.

It is possible to test the accuracy of the initial Omega, Phi, and Kappa values according to the variance (RMS) which appears in the Quality Report or compare the initial orientation with the optimized orientation calculated by Pix4Dmapper.

To test the accuracy of the initial Omega, Phi, and Kappa values apply **Standard** or **Alternative** Calibration Method: Menu Process > Processing Options... > 1. Initial Processing > Calibration.

Pix4Dmapper calculates the optimized orientation during Step 1. *Initial Processing*.

kvsro silcharHello,

is it possible with Pix4D to plan a mission for corridor mapping with curves and stuff so the flight direction would copy the polygon?

It wouldn't have just straight flight lines but curved (following a road for example?

Teodora (Pix4D)Hi,

You could use Pix4Dcapture for flight planning. Depending on the object/surface to be mapped, you can perform polygon, grid, circular or free flight missions. More information can be found here: https://www.pix4d.com/product/pix4dcapture. You could also share your questions with other interested users and we strongly recommend using our online community

Cheers,

Teodora

Gyula SólyomIf you use Ardupilot based flight control computer you can specify your flightplan waypoint by waypoint. We are often flying curved paths to follow the corridor below - you just have to make sure you have no sharp turns (leading to high roll angles) and the overlap is consistent (different radius with sidelaps).

Bernard Essel@Teodora @...

I am using parrot sequoia camera and in the exif file there are two navigational data : one for the irradiance sensor and one for the sequoia. Which one does Pix4D uses to convert to Omega, Phi and Kappa? Thanks!

Momtanu (Pix4D)It uses the IMU data from the sequoia. The one for the irradiance sensor is used in radiometric corrections.

Bernard EsselThank you very much @... for the response. Also, when using the Parrot bluegrass, the sequoia camera is tilted at 15 degrees. So ideally, when the drone pitches down at -15, the sequoia camera should be perfectly horizontal (0 degrees). However, the data in the exif file for the pitch values shows different figures. Does Pix4D correct the titling angle from the bluegrass sequoia camera, specifically for the pitch values before processing?

Many thanks in advance!