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Obstacle detection by Evolutionary Algorithm: the Fly Algorithm

Abstract : Artificial vision is a key element in robots autonomy. The Fly algorithm is a fast evolutionary algorithm designed for real time obstacle detection using pairs of stereo images. It aims to be used in particular in the fields of mobile robotics and automated vehicles. Based on the Parisian approach, the Fly algorithm produces a set of 3-D points which gather on the surfaces of obstacles. This paper describes the use of the Fly algorithm for obstacle detection in a real environment, and a possible use for vehicle control is presented.
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Conference papers
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Contributor : Olivier Pauplin <>
Submitted on : Monday, October 24, 2005 - 11:14:07 AM
Last modification on : Thursday, February 11, 2021 - 2:58:05 PM


  • HAL Id : inria-00000493, version 1



Olivier Pauplin, Jean Louchet, Evelyne Lutton, Michel Parent. Obstacle detection by Evolutionary Algorithm: the Fly Algorithm. ICARA 2004, Dec 2004, Palmerston North, Nouvelle Zélande. ⟨inria-00000493⟩



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