Development of intelligent vehicle test system based on mobile terminal platform

2015 ◽  
pp. 207-212
Keyword(s):  
Mobile Terminal ◽  
Test System ◽  
Intelligent Vehicle ◽  
Vehicle Test

Design of Data Acquisition Testing System for a Fixed Wing UAV Based on Radio-Frequency Technique and Labview

2013 ◽  
Vol 816-817 ◽  
pp. 550-553
Author(s):  
Xiang Zheng Li ◽  
Xi Wei Peng ◽  
Qing Bo Geng
Keyword(s):  
Radio Frequency ◽  
Data Acquisition ◽  
Flight Test ◽  
Analysis Data ◽  
Test System ◽  
Wireless Data ◽  
Labview Software ◽  
Wireless Data Acquisition ◽  
Vehicle Test ◽  
Data Acquisition And Processing

This paper discusses a system of data acquisition and processing based on radio frequency technology and labview. It is designed for data acquisition and transmission of UAV (Unmanned Aerial Vehicle) test system. It makes full use of the usefulness of labview in measurement field and the flexibility of wireless data transmission.Firstly this paper introduces the hardware and software of wireless data acquisition and transmission device. Then it introduces the design of labview software. Finally UAV test system uses this device to collect and analysis data, it provided a lot of useful information for the UAV flight test.

scholarly journals Cloud Model Approach for Lateral Control of Intelligent Vehicle Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Hongbo Gao ◽  
Xinyu Zhang ◽  
Yuchao Liu ◽  
Deyi Li
Keyword(s):  
Control Algorithm ◽  
Cloud Model ◽  
Control Area ◽  
Intelligent Vehicles ◽  
Intelligent Vehicle ◽  
Control Effect ◽  
Lateral Control ◽  
Direction Control ◽  
Vehicle Test ◽  
Reasoning Algorithm

Studies on intelligent vehicles, among which the controlling method of intelligent vehicles is a key technique, have drawn the attention of industry and the academe. This study focuses on designing an intelligent lateral control algorithm for vehicles at various speeds, formulating a strategy, introducing the Gauss cloud model and the cloud reasoning algorithm, and proposing a cloud control algorithm for calculating intelligent vehicle lateral offsets. A real vehicle test is applied to explain the implementation of the algorithm. Empirical results show that if the Gauss cloud model and the cloud reasoning algorithm are applied to calculate the lateral control offset and the vehicles drive at different speeds within a direction control area of ±7°, a stable control effect is achieved.

Intelligent Vehicle Test and User Condition Correlation Evaluation Model

2020 ◽  
Vol 14 (3) ◽  
pp. 104-110
Author(s):  
Wen-liang Li ◽  
Yi Song ◽  
Lu Zhang ◽  
Wei Zhou ◽  
Jin-ling Zhang
Keyword(s):  
Evaluation Model ◽  
Intelligent Vehicle ◽  
Vehicle Test ◽  
User Condition

Design and Implementation of a Miniature Intelligent Vehicle Test Platform

2013 ◽  
Vol 7 (5) ◽  
pp. 367-376
Author(s):  
Ning Li ◽  
Guangming Xiong ◽  
Weilong Song ◽  
Jianwei Gong ◽  
Huiyan Chen
Keyword(s):  
Intelligent Vehicle ◽  
Design And Implementation ◽  
Test Platform ◽  
Vehicle Test
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