This specific finding is minor, but its implications are not IMHO. From the article it appears the researchers consider this a discovery in effect.
If consumer hardware is already capable (in many settings) of reproducing what were formerly research-level and industry-grade techniques, it may be a transformation in more areas of technology than would be obvious. I am very curious to see if there will be further findings in this area.
aftbit 20 minutes ago [-]
Smartphone grade lidar == FaceID ?
ofrzeta 2 hours ago [-]
So this only works if you have walls opposite of this corner?
libria 2 hours ago [-]
It seems to require a lidar reflective object. Likely more generally, the effectiveness lowers the less objects there are to bounce and return signal.
It could probably work with less accuracy/resolution against visible vehicles in the opposite lane, a hedgerow, postal box, pedestrian carrying a visible laptop and possibly synthesize all of these to improve its guess.
wongarsu 1 hours ago [-]
The video thumbnail implies bouncing off the ground, not a wall. Not sure how the geometry works out for that
cuechan 4 hours ago [-]
Why not just place a mirror at 45 degrees in the corner? That way you don't need the lidar but you can just look around the corner? It would also work better with the lidar.
devmor 3 hours ago [-]
I would be interested in seeing your visual mockups of how such a solution works on one of the article’s examples, like a car.
Reasonably common in difficult corners in Germany and Austria. Probably elsewhere too.
The downside is that it's road infrastructure that has to be installed. The upside is that it works for everyone, including people in 20 year old cars or on bicycles.
dietrichsam 3 hours ago [-]
Every car just needs n number of mirrors on articulating joints and to sense any oncoming cars that need to see around a corner and then receive a command to reposition said mirror.
Rendered at 15:01:01 GMT+0000 (Coordinated Universal Time) with Vercel.
If consumer hardware is already capable (in many settings) of reproducing what were formerly research-level and industry-grade techniques, it may be a transformation in more areas of technology than would be obvious. I am very curious to see if there will be further findings in this area.
It could probably work with less accuracy/resolution against visible vehicles in the opposite lane, a hedgerow, postal box, pedestrian carrying a visible laptop and possibly synthesize all of these to improve its guess.
Or this: https://cdn-01-artemis.media-brady.com/Assets/ImageRoot/DMEU...
Reasonably common in difficult corners in Germany and Austria. Probably elsewhere too.
The downside is that it's road infrastructure that has to be installed. The upside is that it works for everyone, including people in 20 year old cars or on bicycles.