Road classification based on SVM and vehicle body vibration

Obtaining road surface information to make the vehicle run in best condition can not only reduce energy consumption and loss, but also improve driving safety. In this paper, specific car body was preprocessed as root mean square value, SVM offline training used. The recognition rate of off-road highway reach 98%. Compared with traditional threshold recognition, has better adaptability robustness. On premise keeping easy obtain, discrimination accuracy value is obviously than original value.