A slight tangent but rollerblades is a case of proprietary eponym : Rollerblade is a brand of inline skates (often call skates - plural - for short) that became so famous people started to use it to describe all inline skates, no matter the brand. Just like vaccum cleaner and hoover :)
techn00 · 36m ago
and xerox
ioma8 · 24s ago
and roomba
dllu · 3h ago
I once put an Ouster OS1 on a hat and walked around with it. Pic of me here: [1]
Very cool. When was this? If you would repeat it, which LIDAR would you use? Is there anything on a generous hobby budget nowadays?
dllu · 20m ago
It was at CVPR 2019, a computer vision conference. I may be biased since I used to work at Ouster, but cost notwithstanding, I would definitely pick the OS1 again for its unparalleled number of points per second combined with low weight and decent accuracy.
mkarklins · 1h ago
On cheaper side there's MID360
pj_mukh · 3h ago
So cool! I wonder how the Lidar and ARCore poses were cross-calibrated?
Just to avoid this, I would just use a LiDAR equipped iPhone Pro, with industrial grade cross-calibration and still have all the visualization fun.
amelius · 6h ago
Wouldn't this be cheaper with a stereo pair of cameras + software reconstruction instead?
SequoiaHope · 30m ago
Actually a single camera is all you need. I think it’s fair to say that the only thing stereo gets you is scale. But both cameras and lidar have their place in sensing systems, and getting more experience with either is useful.
If you’re interested in reconstruction from images check out Meshroom and Nerf Studio
Very impressive! LiDAR and point clouds seem very promising, but the challenge of denoising point clouds and artifacts keep the skill bar very high/time intensive.
[1] https://x.com/ddetone/status/1141785696224477184?s=46
Just to avoid this, I would just use a LiDAR equipped iPhone Pro, with industrial grade cross-calibration and still have all the visualization fun.
If you’re interested in reconstruction from images check out Meshroom and Nerf Studio
https://alicevision.org/
https://docs.nerf.studio/