Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Real-Time Vehicle Navigation in Unknown Environment with Obstacles Using Analytical Fuzzy Controller and Potential Field Method (CROSBI ID 588440)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Baček, Tomislav ; Kasać, Josip ; Majetić, Dubravko ; Brezak, Danko Real-Time Vehicle Navigation in Unknown Environment with Obstacles Using Analytical Fuzzy Controller and Potential Field Method // Proceedings of the 2012 IEEE World Congress on Computational Intelligence. 2012

Podaci o odgovornosti

Baček, Tomislav ; Kasać, Josip ; Majetić, Dubravko ; Brezak, Danko

engleski

Real-Time Vehicle Navigation in Unknown Environment with Obstacles Using Analytical Fuzzy Controller and Potential Field Method

In this paper, reactive vehicle navigation in unknown environment with obstacles, using fuzzy controller, is presented. In order to prevail conventional fuzzy controller drawbacks, analytical fuzzy controller is proposed. Reference trajectory is generated in real-time using potential field method. Vehicle dynamics model is full nonlinear, eleventh order model, which includes three degrees of freedom, wheel dynamics and nonlinear tyre friction model. Controller capabilities are tested depending on different vehicle's initial velocity and different road conditions.

Fuzzy Control; Vehicle Navigation; Potential Field Method

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

2012.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 2012 IEEE World Congress on Computational Intelligence

Podaci o skupu

The 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI 2012)

predavanje

10.06.2012-15.06.2012

Brisbane, Australija

Povezanost rada

Strojarstvo