DocumentCode
1622316
Title
Perception in autonomous ground vehicles
Author
Ilas, Constantin
Author_Institution
Dept. of Comput. Sci., “Politeh.” Univ. of Bucharest, Bucharest, Romania
fYear
2013
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Computers and Artificial Intelligence (ECAI), 2013 International Conference on
Conference_Location
Pitesti
Print_ISBN
978-1-4673-4935-2
Type
conf
DOI
10.1109/ECAI.2013.6636180
Filename
6636180
Link To Document