Abstract
Obtaining road surface information to make the vehicle run in the best condition can not only reduce energy consumption and vehicle loss, but also improve driving safety. In this paper, specific car body information was preprocessed as root mean square value, and SVM offline training was used. The recognition rate of off-road and highway can reach 98%. Compared with traditional threshold recognition, SVM has better adaptability and robustness. On the premise of keeping easy to obtain, the discrimination accuracy of the root mean square value is obviously better than the original value and the mean value.
Highlights
With the vigorous development of electronic devices and network technology, the research on vehicles has gradually changed from internal factors like different components to various human-vehicle-environment connections
The research on road quality is helpful to improve the understanding of the research concept of automobile technology, so as to design the automobile technology for different road conditions, which can reduce the transportation consumption of the automobile and increase the fatigue life of the automobile
When the 5s root mean square value is used, the impulse on the road surface of the deceleration zone changes from a "triangular wave" to a "rectangular wave", and off-road roads still have sharp peaks due to the severe turbulence of the road surface. It can be known from the image that the root mean square value of the body attitude can be used as the identification condition of highway and off-road roads
Summary
With the vigorous development of electronic devices and network technology, the research on vehicles has gradually changed from internal factors like different components to various human-vehicle-environment connections. The quality of road surfaces greatly affects traffic safety. The research on road quality is helpful to improve the understanding of the research concept of automobile technology, so as to design the automobile technology for different road conditions, which can reduce the transportation consumption of the automobile and increase the fatigue life of the automobile. Meantime, it helps prevent traffic problems in advance. Road data collection tools include millimeter-wave radar, lidar, mono and binocular cameras, and other current advanced vehicle sensors. Easy accessibility can increase the commercial value of data
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