Body: <p>For practical applications, like autonomous driving, depth perception is needed to make useful decisions.</p>
  <p>How is this normally addressed without using a LIDAR or RADAR unit (but using a camera)?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-07-09T10:19:37.653Z
Comments.Text: Usually you need two cameras, rt to observe the same point from two different angles, like our eyes do to create a stereo image.
Comments.UserDisplayName: Anshuman Kumar
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-07-09T10:19:40.407Z
Comments.Text: https://docs.opencv.org/master/dd/d53/tutorial_py_depthmap.html
Comments.UserDisplayName: Anshuman Kumar
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-07-09T10:21:06.530Z
Comments.Text: I don't know about any single camera-based depth perception based thing but there is software used by some game devs  for large buildings that involves a drone or some camera that photographs a location from every angle possible.
Comments.UserDisplayName: Anshuman Kumar
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-07-09T10:21:16.073Z
Comments.Text: Is that what you were looking for?
Comments.UserDisplayName: Anshuman Kumar
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-07-09T18:40:42.073Z
Comments.Text: Thanks, now how would one separate the ground plane from objects laying on it? The simplest idea is to angle your cameras to now include video right infront of the bottom of the robot but that could miss things.
Comments.UserDisplayName: FourierFlux
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-07-10T12:13:28.543Z
Comments.Text: I am afraid I don't really know. I haven't worked on that specific stuff in CV.
Comments.UserDisplayName: Anshuman Kumar
Tags: <deep-learning><computer-vision><applications>
Title: How is depth perception (e.g. in autonomous driving) addressed without using a Lidar or Radar unit?
UserDisplayName: FourierFlux
ThreadText: # How is depth perception (e.g. in autonomous driving) addressed without using a Lidar or Radar unit?
  
  (Asked by: username_0 on 2020-07-09)
  
  For practical applications, like autonomous driving, depth perception is needed to make useful decisions.
  
  How is this normally addressed without using a LIDAR or RADAR unit (but using a camera)?
  
  **Tags:** deep-learning, computer-vision, applications
  > **Comments:**
  > **username_1**: Usually you need two cameras, rt to observe the same point from two different angles, like our eyes do to create a stereo image.  
  > **username_1**: https://docs.opencv.org/master/dd/d53/tutorial_py_depthmap.html  
  > **username_1**: I don't know about any single camera-based depth perception based thing but there is software used by some game devs  for large buildings that involves a drone or some camera that photographs a location from every angle possible.  
  > **username_1**: Is that what you were looking for?  
  > **username_0**: Thanks, now how would one separate the ground plane from objects laying on it? The simplest idea is to angle your cameras to now include video right infront of the bottom of the robot but that could miss things.  
  > **username_1**: I am afraid I don't really know. I haven't worked on that specific stuff in CV.  
  
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  ## 0 answers
  
  