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Conference papers
Evolution-Based Vision Algorithm with Fuzzy Fitness Function for Obstacle Detection
Abstract : The proposed algorithm is a fast evolution-based vision technique for real-time obstacle detection. Based on the Parisian approach, our algorithm evolves a population of 3D particles which constitutes a three-dimensional representation of the scene. Evolution is controlled by a fuzzy fitness function able to deal with uncertain camera measurements, and uses classical evolutionary operators. The result of the algorithm is a set of 3D particles gathered on the surfaces of obstacles.
Cited literature [4 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00954358
Contributor : Haythem Ghazouani <>
Submitted on : Saturday, March 1, 2014 - 5:45:37 PM
Last modification on : Wednesday, October 28, 2020 - 1:08:02 PM
Long-term archiving on: : Thursday, May 29, 2014 - 2:30:16 PM
Contributor : Haythem Ghazouani <>
Submitted on : Saturday, March 1, 2014 - 5:45:37 PM
Last modification on : Wednesday, October 28, 2020 - 1:08:02 PM
Long-term archiving on: : Thursday, May 29, 2014 - 2:30:16 PM
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META-2010_Ghazouani.pdf
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