TY - JOUR PY - 2010// TI - Estimation of obstacle classification using SVM score JO - Transactions of Society of Automotive Engineers of Japan A1 - Yamashiro, Hanko A1 - Yamada, Kenichi A1 - Ito, Toshio SP - 413 EP - 418 VL - 41 IS - 2 N2 - For the realization of advanced driving support system, technologies that recognize various obstacles in the driving environment have been developing. We propose the method to recognize the obstacles (car, bike, bicycle, pedestrian) by laser radar in this paper. Many features of object classification are identified and their extraction is described. We use SVM for class classification. We classify each class by observe distance from hyper plane in time series.
Language: ja
LA - ja SN - 0287-8321 UR - http://dx.doi.org/10.11351/jsaeronbun.41.413 ID - ref1 ER -