MIT Media Lab publishes a IEEE Access paper "Rethinking Machine Vision Time of Flight
With GHz Heterodyning" by Achuta Kadambi and Ramesh Raskar presenting "time-of-flight imaging that increases its depth resolution 1,000-fold. That’s the type of resolution that could make self-driving cars practical... At distances of 2 meters, the MIT researchers’ system... has a depth resolution of 3 micrometers."
The paper presents an indirect ToF imaging with a GHz modulation frequency:
A Youtube video explains the group's achievement:
Thanks to DS for the pointer!
So they are trying to say that my car needs to see the wrinkles of the poor guys' who are staying a few meters in front of me instead of me just seeing/sensing them hundreds of meters away? Come on. LiDAR has to deal with the probability of sensing way before solving the 2um accuracy "problem". They must know this and trying to deny this by showing this as a requirement for LiDAR is a bit insulting.
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