Title :
Perception in autonomous ground vehicles
Author :
Ilas, Constantin
Author_Institution :
Dept. of Comput. Sci., “Politeh.” Univ. of Bucharest, Bucharest, Romania
Abstract :
This paper reviews current approaches, challenges, objectives, architecture and trends in the perception, one of the most important systems in autonomous ground vehicles AGV. Several implementations reported in the literature in the past five years are reviewed to see the evolution and to determine the main areas for future research.
Keywords :
automobiles; image classification; mobile robots; object detection; object tracking; robot vision; telerobotics; AGV; autonomous ground vehicles; driverless cars; object classification; object detection; object tracking; perception; Cameras; Classification algorithms; Kalman filters; Laser radar; Roads; Sensors; Vehicles; autonomous ground vehicle; classification; control system; object detection; perception; perception algorithms; tracking;
Conference_Titel :
Electronics, Computers and Artificial Intelligence (ECAI), 2013 International Conference on
Conference_Location :
Pitesti
Print_ISBN :
978-1-4673-4935-2
DOI :
10.1109/ECAI.2013.6636180
