PointCloudLibrary / PointCloudLibrary/pcl
RangeImageSpherical for 2D LiDAR
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Description
Hi!
First of all, I'm posting it here and not in mailing list, because the last activity there was a year ago (but someone already mentioned it somewhere).
I'm currently developing a tracking algorithm for 2D laser rangefinders and as I'm a big fan of PCL (some parts are of it are used in my project) I wanted to replace my basic data structure with pcl::RangeImageSpherical, as it seems to be providing almost the same functionality. The problem is, that the aforementioned class was designed with a horizontal and vertical points in mind. Hence, the question:
Is it possible to use pcl::RangeImageSpherical as container for a cloud from 2D LiDAR sensor?
Maybe set angular_resolution_y to the same value as max_angle_height? Or something else?
Thanks for your feedback and advices!
Btw. It's quite annoying that an organized point cloud cannot have height = 1, but that's a different story...
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked pcl::RangeImageSpherical documentation and inspect how its horizontal and vertical angular parameters represent points. Determine whether a 2D LiDAR cloud can be represented without changing the class, and clarify the separate organized-cloud height concern. Done means an evidence-based usage answer or a scoped change proposal.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100