2024-03-28T10:24:07Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/20062020-12-10T08:57:42Zcom_10612_17col_10612_18
Using genetic algorithms for real-time object detection
Martínez Gómez, Jesús
Gámez Martín, José Antonio
García Varea, Ismael
Matellán Olivera, Vicente
Arquitectura y Tecnologia de Computadores
Escuela de Ingenierias Industrial e Informatica
Informática
Algoritmos genéticos
RoboCup
Robots móviles
P. 1-12
This article presents a new approach to mobile robot vision
systems based on genetic algorithms. The major contribution of the proposal is the real-time adaptation of genetic algorithms, which are generally used offline. In order to achieve this goal, the execution time must be
as short as possible. The scope of the System is the robotic football competition Robocup
whitin the Standard Platform category. The system
developed detects and estimates distance and orientation to key elements
on a football field, such as the ball and goals. Different experiments have
been carried out whitin an official Robocup environment
SI
2010-10-15
2012-11-13T09:51:58Z
2012-11-13T09:51:58Z
2012-11-13
info:eu-repo/semantics/article
Lecture Notes in Computer Science, 2010
http://hdl.handle.net/10612/2006
eng
info:eu-repo/semantics/openAccess
Springer
https://buleria.unileon.es/bitstream/10612/2006/4/Martinez.pdf.jpg
Hispana
TEXT
http://rightsstatements.org/vocab/CNE/1.0/
BULERIA. Repositorio Institucional de la Universidad de León
http://hdl.handle.net/10612/2006