Title :
Building an electric model vehicle with obstacle avoidance system
Author :
Fenesan, Andrei ; McAree, Owen ; Chen, Wen-Hua ; Pana, Teodor ; Bamber, Tom
Author_Institution :
Dept. of Electr. Drives & Robots, Tech. Univ. of Cluj-Napoca Cluj, Cluj-Napoca, Romania
Abstract :
In this paper we propose an electric model vehicle with its own system of acquisition and computation of the information, on which we will test the collision control algorithms in indoors and outdoors with GPS localization. The algorithm used in this project is the Potential Field method. We chose to use a LIDAR sensor that can acquire distance data from the environment in 2D. The main objective of these tests is to make obstacle avoidance with mobile robot in Real-Time.
Keywords :
Global Positioning System; collision avoidance; data acquisition; electric vehicles; mobile robots; optical radar; real-time systems; 2D environment; GPS localization; LIDAR sensor; collision control algorithms; distance data; electric model vehicle; information acquisition; information computation; obstacle avoidance system; potential field method; real-time mobile robot; Collision avoidance; Educational institutions; Global Positioning System; Laser radar; Mobile robots; Robot sensing systems; Vehicles; LIDAR; Potential Field; control algorithms; dynamic and kinematic model; electric model;
Conference_Titel :
Automation and Computing (ICAC), 2012 18th International Conference on
Conference_Location :
Loughborough
Print_ISBN :
978-1-4673-1722-1
