Support for new DJI Zenmuse L3 dual cameras

The new sensor has two 100MP cameras. They are placed next to each other with a slight rotation.

It’s porpuse is to generate a extra wide covering area of photos during LiDAR captures.

The thing is that it is lacking the roll rotation, so instead of getting two cameras in the same position, one aiming right and the other left, we end up with both looking straigth down.

This messes up with the calibration process, specially in dense forest areas.

Only software that dealt with this so far is DJI Terra.

Hello,

Thank you for your patience while we investigated this issue.

We have confirmed that the calibration difficulty is occurring because PIX4Dmatic does not yet automatically account for the fixed tilt angle of the L3’s dual-lens system. Currently, the software reads the gimbal orientation from the images but does not apply the necessary geometric offset for the specific angle of the cameras.

We have logged a development task to add full support for the DJI Zenmuse L3 dual cameras to resolve this.

Thank you for bringing this to our attention. Please don’t hesitate to let me know if you have any further questions.

Best regards,

Alexey

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I noticed the same issue. I tried to process data from the Zenmuse L3 and it worked great with DJI Terra but then I tried it with Pix4d Matic and noticed that the software does not account for the offset angles of the dual camera rig. Any idea when Pix4d may be able to supply a fix for this? Do you need any sample data?

Hello,

Thank you for sharing your feedback. Please accept my apologies for the delay in our response.

I have confirmed with our R&D team that the request to support the offset angles for the L3 dual camera rig has been recorded. It is currently difficult to provide a specific timeline for when this fix will be implemented, but the team is aware of the requirement.

Regarding your offer for data, we already have the necessary datasets for testing, so there is no need to send samples at this time.

We appreciate your patience while we work on this improvement.

Kind regards,

Alexey