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AGV navigation analysis based on multi-sensor data fusion

delete2018-07-03
delete25
PRE
AI
T
Tichun Wang *
C
Changsheng Tong
B
Ben-ling Xu
DOI：10.1007/s11042-018-6336-3delete
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Abstract

Abstract

En 中文
For the navigation problem of differential AGV, its motion model was established, and the inertial guidance method based on multi-sensor was adopted. The encoder, gyro, acceleration sensor, ultrasonic sensor and infrared sensor were selected to establish the Kalman filter multi-sensor. And the models and algorithms of the data fusion navigation and the obstacle avoidance were proposed. Further, the simulation calculation was conducted. The research results show that the navigation accuracy of AGV and navigation performance were improved by the method discussed in the paper.
Keywords:
AGV
Navigation
Multi-sensor
Data fusion
Kalman filter
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Multimedia Tools and Applications cover
Multimedia Tools and Applications
IF:
3
Papers:
1.9W
Citations:
3.2W

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No organization information available