DocumentCode :
2366845
Title :
A new Real-Time Hardware Architecture for Road Line Tracking Using a Particle Filter
Author :
Alarcon, Jaime ; Salvador, Ruben ; Moreno, Felix ; Cobos, Pedro ; Lopez, Ignacio
Author_Institution :
Automobile Res. Inst., Univ. Politecnica de Madrid
fYear :
2006
fDate :
6-10 Nov. 2006
Firstpage :
736
Lastpage :
741
Abstract :
In this article, a new real-time hardware architecture based on real time image processing and the use of a particle filter, as the fundamental element for tracking lines of a road, is presented. To this end a hardware system has been designed on an Altera Cyclone FPGA for processing the images obtained from a PAL video camera. This paper is part of a research line into on-board safety systems for vehicles, based on reconfigurable hardware systems that allow implementing low-cost high-reliability advanced driver assistance systems. The proposal outlined in this paper detects the lane lines by means of the combined use of probabilistic and deterministic techniques, in real time, with the necessary anticipation to deploy the primary and secondary safety interaction systems, PSSIS, on board the vehicle
Keywords :
driver information systems; image processing; particle filtering (numerical methods); reconfigurable architectures; road safety; Altera Cyclone FPGA; PAL video camera; deterministic techniques; driver assistance systems; hardware system; onboard safety systems; particle filter; primary-secondary safety interaction systems; probabilistic techniques; real time image processing; real-time hardware architecture; reconfigurable hardware systems; road line tracking; Cameras; Cyclones; Field programmable gate arrays; Hardware; Image processing; Particle filters; Particle tracking; Roads; Vehicle driving; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
ISSN :
1553-572X
Print_ISBN :
1-4244-0390-1
Type :
conf
DOI :
10.1109/IECON.2006.347566
Filename :
4153148
Link To Document :
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