4 Replies Latest reply on Aug 29, 2017 10:52 AM by ChicagoBob123

    Can Euclid help with this


      I want to combine Tensorflow inference data with distances to the object in an outdoor environment.

      Basically a way to delineate people in the vicinity of a moving vehicle from other equipment which also moves.


      In my mind I was thinking LiDar might be helpful for this but a rotating unit cost is too high.

      Even if I could bring the cost down I am not sure how to pair it up with actual inference data.


      I have thought about stereo imaging but from what I understand the processing

      power is so great that its not used.


      So in an outdoor environment can the Euclid provide distance information about 200 feet out?