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I am trying to program a robot that detect obstacles and estimate distance. I am using computer vision for this task . I calculated the disparity map but I do not know how to detect obstacles and estimate the distance. what are the steps I need to follow to accomplish this goal? what are the Open CV's functions I will need to use? Is there any source codes?

Salma
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  • you should look at the post http://stackoverflow.com/questions/19211190/opencv-depth-estimation-from-disparity-map – cagatayodabasi Jun 20 '15 at 15:38
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    The question is too broad. There are many variables that depend on the environment and application at hand. You won't get a magic answer to what you are trying to do here. Maybe split the question into parts, or be more specific. – bendervader Jun 21 '15 at 04:28
  • the answer that i need is in the following form: if I was asking about single camera calibration , the answer would be: 1) Take set of images for the chessboard from different viewpoints. 2) detects the corners of this chessboard pattern , by using cvFindChessboardCorners() 3) detect sub pixel corners , by using cvFindCornerSubPix() 4) calibrate the camera , by using cvCalibrateCamrera2 I need to know the steps that i have to follow to get the distance from the disparity map. do i need to segment the objects? if yes, then what? what are the functions I need to use? – Salma Jun 23 '15 at 13:42
  • Take a look at http://stackoverflow.com/questions/22418846/reprojectimageto3d-in-opencv – edu_ Jun 24 '15 at 23:56

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