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.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/inria-00000493
Contributor : Olivier Pauplin <>
Submitted on : Monday, October 24, 2005 - 11:14:07 AM
Last modification on : Friday, May 25, 2018 - 12:02:03 PM

Identifiers

  • HAL Id : inria-00000493, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

300