Proposal of Driver Symbol Mark Detection Using One-Dimensional Histogram Figure Extraction Method
Nowadays, research and development in vehicle safety system has been intensively conducted. In the research field of intelligent transportation systems (ITS), various suggestions have been made concerning road signs which can be automatically recognized by driver-support systems. But, human factors are important risks of traffic accidents. However, research is focused on road signs, in the driver information analysis is not enough. So, in this study we describe a new method to extract driver symbol mark using one-dimensional histogram. The method utilizes the Polytope method which is one of minimization algorithms. For the extraction of figures, one-dimensional histogram is used. On the method of this study, the algorithm is simple, the memory space is very small, and the processing time is very short.
Yusaku Fuji and Koichi Maru
Y. Liu et al., "Proposal of Driver Symbol Mark Detection Using One-Dimensional Histogram Figure Extraction Method", Applied Mechanics and Materials, Vol. 36, pp. 376-380, 2010