DocumentCode :
2415839
Title :
Embedded vehicle lane-marking tracking system
Author :
Sun, Tsung-Ying ; Huang, Wei-Chih
Author_Institution :
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
fYear :
2009
fDate :
25-28 May 2009
Firstpage :
627
Lastpage :
631
Abstract :
This paper implements an embedded multi-core DSP system for vehicle vision-based lane-marking tracking. A fast algorithm based on Kalman filter and boundary detection is proposed in this system. The developed system can reduce the complexity of vision data processing and meet the real-time requirements.
Keywords :
Kalman filters; computer vision; digital signal processing chips; edge detection; embedded systems; road vehicles; tracking filters; traffic engineering computing; Kalman filter; boundary detection; embedded multicore DSP system; vehicle vision-based lane-marking tracking system; vision data processing complexity reduction; Consumer electronics; Data processing; Digital signal processing; Linear systems; Noise measurement; Roads; Sun; Trajectory; Vectors; Vehicle driving; Kalman Filter; Land-Marking Tracking; embedded Multi-core DSP system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2009. ISCE '09. IEEE 13th International Symposium on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-2975-2
Electronic_ISBN :
978-1-4244-2976-9
Type :
conf
DOI :
10.1109/ISCE.2009.5156960
Filename :
5156960
Link To Document :
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