Naslov
Autonomous Vehicle Obstacle Avoiding and Goal Position Reaching by Virtual Obstacle

Autori
Kulić, Ranka ; Vukić, Zoran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the European Control Conference 2007 / - , 2007

Skup
European Control Conference 2007 - ECC 2007

Mjesto i datum
Kos, Grčka, 02.07.2007. - 05.07.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
autonomous vehicle; virtual obstacle; obstacle avoidance

Sažetak
The problem of dynamic path generation for the autonomous vehicle in environments with unmoving obstacles is presented. Generally, the problem is known in the literature as the vehicle motion planning. In this paper the behavioural cloning approach is applied to design the vehicle controller and virtual obstacle is used also in the goal position reaching. In behavioural cloning, the system learns from control traces of a human operator. To learn from control traces the machine learning algorithm and neural network algorithms are used. The goal is to find the controller for the autonomous vehicle motion planning in situation with infinite number of obstacles.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA