CASIA OpenIR  > 学术期刊  > Machine Intelligence Research
Design of Ethernet Based Data Acquisition System for Yaw Rate and Longitudinal Velocity Measurement in Automobiles
K. Arun Venkatesh; N. Mathivanan
发表期刊International Journal of Automation and Computing
ISSN1476-8186
2020
卷号17期号:6页码:883-890
摘要Design of an Ethernet network compatible data acquisition system for the measurement of yaw rate and longitudinal velocity in automobiles is presented. The data acquisition system includes a base node and a remote node. The remote node consists of a micro electro mechanical system (MEMS) accelerometer, an MEMS gyroscope, an advanced RISC machines (ARM) CORTEX M3 microcontroller and an Ethernet PHY device. The remote node measures the yaw rate and the longitudinal velocity of an automobile and sends the measured values to the base node using Ethernet communication. The base node consists of an ARM CORTEX M3 microcontroller and an Ethernet PHY device. The base node receives the measured values and saves in a microSD card for further analysis. The characteristics of the network and the measurement system are studied and reported.
关键词In-vehicle networks Ethernet yaw rate longitudinal velocity complementary filter.
DOI10.1007/s11633-016-0968-4
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文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/42262
专题学术期刊_Machine Intelligence Research
作者单位University Science Instrumentation Centre, Madurai Kamaraj University, Madurai 625021, India
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K. Arun Venkatesh,N. Mathivanan. Design of Ethernet Based Data Acquisition System for Yaw Rate and Longitudinal Velocity Measurement in Automobiles[J]. International Journal of Automation and Computing,2020,17(6):883-890.
APA K. Arun Venkatesh,&N. Mathivanan.(2020).Design of Ethernet Based Data Acquisition System for Yaw Rate and Longitudinal Velocity Measurement in Automobiles.International Journal of Automation and Computing,17(6),883-890.
MLA K. Arun Venkatesh,et al."Design of Ethernet Based Data Acquisition System for Yaw Rate and Longitudinal Velocity Measurement in Automobiles".International Journal of Automation and Computing 17.6(2020):883-890.
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