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Sorry for the self advertisement, but I think that it fits really well. If you are thinking about creating annotated point clouds you could use our software (a
by blensor 9y ago
Sorry for the self advertisement, but I think that it fits really well.
If you are thinking about creating annotated point clouds you could use our software (also based on blender):
http://www.blensor.org/ http://www.blensor.org/
It virtually scans scenes and can store the id of the scanned object for each individual point in the point cloud.
- ingenieroariel 9y agoThanks for linking to it, and it seems to be open source too! I'll try it out and try to join the community. There is a person talking about LIDAR in the Boston Self Driving car meetup tomorrow, I'll ask him what automakers usually use for this task and if he was aware of this open source option.
- mynewtb 9y agoDoes it support billions of points or at least a couple of millions?
- blensor 9y agoMillions is not a problem. For billions is probably too slow or you run into memory issues.
- jcims 9y agoI'm envisioning this as a source for streams of synthetic point cloud data. Any idea if it can simulate specific Velodyne products? Just wondering if it could be used to compare efficacy of one of the pucks vs the larger kit for a specific use case. E.g. hang a virtual LIDAR off a virtual UAV and fly over a simulated environment.
- blensor 9y agoThis was the reason why we initially started this project. This was back when the HDL-64E cost around $72k. It supports the LIDAR with 64 and 32 lasers, but it also has a generic mode where you can set an arbitrary configuration of lasers (albeit a bit crude) But it is now also used by other researchers to create synthetic point clouds for deep learning.