Autonomous Vehicle Obstacle Avoiding and Goal Position Reaching by Virtual Obstacle (CROSBI ID 530028)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kulić, Ranka ; Vukić, Zoran
engleski
Autonomous Vehicle Obstacle Avoiding and Goal Position Reaching by Virtual Obstacle
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.
autonomous vehicle; virtual obstacle; obstacle avoidance
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Podaci o prilogu
2007.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the European Control Conference 2007
Podaci o skupu
European Control Conference 2007 - ECC 2007
predavanje
02.07.2007-05.07.2007
Kos, Grčka