Title :
Road Surface Condition Recognition Method Based on Color Models
Author :
Hong, Li ; Jun, Lin ; Yanhui, Feng
Author_Institution :
Coll. of Instrum. & Electr. Eng., Jilin Univ., Changchun, China
Abstract :
A computer vision technique has been applied to analyze and research road surface meteorology. The original color data in HIS and RGB models has constituted feature vectors. Robust technique has been used to remove outliers before image process. And a BP neural network has been employed to identify the images collected from road surface in four kinds of states (namely, covered by dry asphalt, water, ice and snow). The result of experiments shows that the means is effective.
Keywords :
backpropagation; image colour analysis; traffic engineering computing; BP neural network; HIS model; RGB model; color models; computer vision; image process; outlier removal; road surface condition recognition; road surface meteorology; Cameras; Color; Image recognition; Instruments; Lighting; Meteorology; Neural networks; Roads; Traffic control; Weather forecasting; BP Neural network; Color model; Computer vision; Image recognition; Road surface meteorology;
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
DOI :
10.1109/DBTA.2009.159
