Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Suggestion] 2D beam divergence leading to elliptical footprint #423

Open
dg-505 opened this issue Feb 28, 2024 · 2 comments
Open

[Suggestion] 2D beam divergence leading to elliptical footprint #423

dg-505 opened this issue Feb 28, 2024 · 2 comments

Comments

@dg-505
Copy link

dg-505 commented Feb 28, 2024

Is your feature request related to a problem? Please describe.
Currently the beam divergence is set via the beamDivergence_rad attribute in the <scanner> tag. This implies a circular footprint cause the beam diverges in all directions by the same amount.
However, as you might know, some (if not many) airborne scanners have an elliptical footprint with a beam divergence of e.g. 1.6 x 0.5 mrad RIEGL miniVUX-3UAV data sheet

Describe the solution you'd like
Would it be possible to extend the laser beam simulation to simulate an elliptical footprint?

@lwiniwar
Copy link
Contributor

Hi @dg-505 ,
thanks for the suggestion. We have thought about this in the past.
Sampling rays uniformly along ellipses is, unfortunately, an elliptic integral problem with only approximate solutions. We have put this off for the time being as we continue to improve the simulation for circular footprints.
We plan to take the results from that and see if we can implement an approximation for the elliptical case. Until then, you can run two simulations - one with 0.5 and one with 1.6 mrad - and see if it actually makes a difference in your case.

Cheers,
Lukas

@dg-505
Copy link
Author

dg-505 commented Feb 29, 2024

Thank you 👍

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants