Simulated road following using neuroevolution

Aparajit Narayan*, Elio Tuci, Frédéric Labrosse

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)


This paper describes a methodology wherein genetic algorithms were used to evolve neural network controllers for application in automatic road driving. The simulated controllers were capable of dynamically varying the mixture of colour components in the input image to ensure the ability to perform well across the entire range of possible environments. During the evolution phase, they were evaluated in a set of environments carefully designed to encourage the development of flexible and general-purpose solutions. Successfully evolved controllers were capable of navigating simulated roads across challenging test environments, each with different geometric and colour distribution properties. These controllers proved to be more robust and adaptable compared to the previous work done using this evolutionary approach. This was due to their improved dynamic colour perception capabilities, as they were now able to demonstrate feature extraction in three (red, green and blue) colour channels.

Iaith wreiddiolSaesneg
TeitlArtificial Life and Intelligent Agents - 1st International Symposium, ALIA 2014, Revised Selected Papers
GolygyddionChristopher J. Headleand, William J. Teahan, Llyr Ap Cenydd
CyhoeddwrSpringer Nature
Nifer y tudalennau14
ISBN (Argraffiad)9783319180830
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2015
Digwyddiad1st International Symposium on Artificial Life and Intelligent Agents, ALIA 2014 - Bangor, Teyrnas Unedig Prydain Fawr a Gogledd Iwerddon
Hyd: 05 Tach 201406 Tach 2014

Cyfres gyhoeddiadau

EnwCommunications in Computer and Information Science
ISSN (Argraffiad)1865-0929


Cynhadledd1st International Symposium on Artificial Life and Intelligent Agents, ALIA 2014
Gwlad/TiriogaethTeyrnas Unedig Prydain Fawr a Gogledd Iwerddon
Cyfnod05 Tach 201406 Tach 2014

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