Title :
Time sequence based lane-marking identification
Author :
Jiun-Hung Li ; Chih-Li Huo ; Yu-Hsiang Yu ; Tsung-Ying Sun
Author_Institution :
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
Abstract :
In this paper, time sequence based lane-marking identification method is proposed to deal with the classification and robust improvement of lane-marking detection mechanism which is proposed in our previous works. The proposed method collects information of several consecutive image frames to perform identification. The experimental results show that the developed system can effectively identify lane-marking in various driving environment.
Keywords :
driver information systems; image classification; image sequences; ADAS; advanced driver assistance system; consecutive image frames; driving environment; information collects; lane-marking detection mechanism classification; time sequence based lane-marking identification method; Feature extraction; Flowcharts; Registers; Roads; Robustness; Sun; Vehicles; Time Sequence; lane-marking detection; lane-marking identification;
Conference_Titel :
System Science and Engineering (ICSSE), 2013 International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4799-0007-7
DOI :
10.1109/ICSSE.2013.6614677
