Research of Multi-Sensor Data Fusion Based on Binocular Vision Sensor and Laser Range Sensor

Qi Long Wang; Jian Yong Li; Hai Kuo Shen; Teng Teng Song; Yan Xuan Ma

doi:10.4028/www.scientific.net/KEM.693.1397

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Fault Tree Analysis of Pantograph Type Current Collector Based on Ontology Modeling
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One Abstraction Method for Displacement Response in the Sweep-Frequency Testing of Rotating Spindle
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Petri Nets in the Emu Pantograph Application of Fault Tree Analysis (FTA)
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Research and Simulation of SVPWM Algorithm Based on BP Neural Network
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Research of Multi-Sensor Data Fusion Based on Binocular Vision Sensor and Laser Range Sensor
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Research on SVM Based Diagnosis System for Oil Tubing
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Rolling Bearing Fault Evolution Based on Vibration Time-Domain Parameters
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SIFT-Based Target Recognition in Robot Soccer
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Signal Classification for Pipeline Security Threat Event Based on Optimized Support Vector Machine
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 693Research of Multi-Sensor Data Fusion Based on...

Research of Multi-Sensor Data Fusion Based on Binocular Vision Sensor and Laser Range Sensor

Abstract:

The system of binocular vision sensor was used in the air-to-air close air target positioning in the paper. Due to the limitation of model itself, the measurement accuracy along the direction of optical axis is far lower than the accuracy of vertical direction. In order to improve the measurement accuracy of the optical axis, the paper put forward to using laser range sensor to cooperate with binocular vision sensor; Then the paper proposed adopts adaptive weighted fusion algorithm of multi-sensor information fusion to improve the utilization efficiency of multi-sensor information and to make the results accurately; Finally, the parameters of the system were calibration respectively and experiment is simulated, experimental results show that the position system is feasibility and effectiveness.

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Periodical:

Key Engineering Materials (Volume 693)

Pages:

1397-1404

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.693.1397

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Online since:

May 2016

Authors:

Qi Long Wang*, Jian Yong Li, Hai Kuo Shen, Teng Teng Song, Yan Xuan Ma

Keywords:

Adaptive Weighted Fusion, Binocular Vision Sensor, Laser Range Sensor, Multi-Sensor Information Fusion, Target Location

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