Detect the mechanical structure of the vehicle with neural network

被引：0
|
作者：
Chien, Hui-Hung [1 ]
机构：
[1] Natl Sun Yat Sen Univ, Dept Electricl Engn, Kaohsiung, Taiwan
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN) | 2020年
关键词：
Vehicle historical data; Kuo's SSL Neural Network; Kernel K-means-LSTM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the rise of consumers 'awareness of driving safety and the popularity of automated vehicles, people pay highly attention to vehicle data. Vehicle data is mainly divided into the following two types: "vehicle internal information" (engine, electrical equips, transmission components), "the communication between the vehicle and the external environment" (vehicle driving safety, driving experience). These type of data can be collected through the vehicle's on-board diagnostics (OBD) system. The data set will be used for analysis. The vehicle's driving profile in different states provides a series of vehicle safety services.
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页数：2
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