Based on Kalman filtering of Vehicle motion acquisition and record

被引：0
|
作者：
Han Chenghao [1 ]
Li Hao [1 ]
机构：
[1] Jilin Jianzhu Univ, Inst Elect, Changchun, Jilin Province, Peoples R China
来源：
2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN) | 2015年
关键词：
Kalman filtering; Attitude Acquisition; Attitude Records;
D O I：
10.1109/CICN.2015.104
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In automobile suspension performance test, vehicle motion information acquisition and record is very important, it provides the necessary technical support to optimize the design of the suspension system. This article designs traffic acquisition system using Kalman filtering algorithm as the core and the recording of the calculation results in an efficient way of storage. It can accurately collect, record the vehicle motion attitude. Through the analysis of the recorded data can compare the response of the suspension under the same conditions, to evaluate the performance of different suspension
引用
收藏
页码：508 / 510
页数：3
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