cannot figure if following belongs more to 'technical' or to autonomous topic, but if anything wrong, mods will make right action.
So the story is that, you know, Elon has idea, that radar can replace lidar for AP for all situations, while others think differently.
From what we can see so far in behavior of autopilot - it can be claimed, that lidar really might be beneficial. it is not difficult to imagine that simple use of more spatial information can improve current autopilot behavior here and there.
Yes, future vision algorithms like Nvidia demonstrates might provide elegant solution for current problems, still if there are more approaches, the better, besides there are other companies who seem to rely on radar potential Toyota Bets Big On Autonomous Tech, Swallows Millimeter Wave Radar Maker this high resolution radar won't appear till 20s so what about current Tesla radar?
Seems there is one approach to get more spatial information from current hardware ( maybe additional polarization filter will be required for the visual camera ):
is to use normals from polarized video feed to greatly enhance spatial resolution of radar depth information ( which is currently obtained and obviously used to successfully drive car with AP 8.0 )
the paper is here
http://web.media.mit.edu/~shiboxin/files/Kadambi_ICCV15.pdf ( it talks about kinect - so I suppose, that maybe Tesla engineers did not got a look, but as currently radar gets depth maps analogous to kinect and lidar - then why not to use developed algorithms?)
the approach seems is more robust than previous attempts
https://people.mpi-inf.mpg.de/~mzollhoef/Papers/SGASIA2014_SH/paper.pdf
https://cseweb.ucsd.edu/~ravir/papers/hybrid/hybrid-final.pdf
but those older approaches possibly might be used too.
so it might be computationally intensive, but still I would try - maybe that would allow autopilot with similar to current hardware requirements to become much better.
So the story is that, you know, Elon has idea, that radar can replace lidar for AP for all situations, while others think differently.
From what we can see so far in behavior of autopilot - it can be claimed, that lidar really might be beneficial. it is not difficult to imagine that simple use of more spatial information can improve current autopilot behavior here and there.
Yes, future vision algorithms like Nvidia demonstrates might provide elegant solution for current problems, still if there are more approaches, the better, besides there are other companies who seem to rely on radar potential Toyota Bets Big On Autonomous Tech, Swallows Millimeter Wave Radar Maker this high resolution radar won't appear till 20s so what about current Tesla radar?
Seems there is one approach to get more spatial information from current hardware ( maybe additional polarization filter will be required for the visual camera ):
is to use normals from polarized video feed to greatly enhance spatial resolution of radar depth information ( which is currently obtained and obviously used to successfully drive car with AP 8.0 )
the paper is here
http://web.media.mit.edu/~shiboxin/files/Kadambi_ICCV15.pdf ( it talks about kinect - so I suppose, that maybe Tesla engineers did not got a look, but as currently radar gets depth maps analogous to kinect and lidar - then why not to use developed algorithms?)
the approach seems is more robust than previous attempts
https://people.mpi-inf.mpg.de/~mzollhoef/Papers/SGASIA2014_SH/paper.pdf
https://cseweb.ucsd.edu/~ravir/papers/hybrid/hybrid-final.pdf
but those older approaches possibly might be used too.
so it might be computationally intensive, but still I would try - maybe that would allow autopilot with similar to current hardware requirements to become much better.