Radio-asissted inertial navigation system by tightly coupled sensor data fusion: Experimental results

2012 ◽  
Author(s):  
Christian Ascher ◽  
Sebastian Werling ◽  
Gert F. Trommer ◽  
Lukasz Zwirello ◽  
Carina Hansmann ◽  
...  
Keyword(s):  
Data Fusion ◽  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Experimental Results ◽  
Sensor Data ◽  
Sensor Data Fusion ◽  
Tightly Coupled

Research on Equipment Fault Diagnosis Method Based on Multi-Sensor Data Fusion

2012 ◽  
Vol 466-467 ◽  
pp. 1222-1226
Author(s):  
Bin Ma ◽  
Lin Chong Hao ◽  
Wan Jiang Zhang ◽  
Jing Dai ◽  
Zhong Hua Han
Keyword(s):  
Fault Diagnosis ◽  
Data Fusion ◽  
Diagnostic Accuracy ◽  
Evidence Theory ◽  
Experimental Results ◽  
Sensor Data ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion ◽  
Diagnosis Method ◽  
Single Sensor

In this paper, we presented an equipment fault diagnosis method based on multi-sensor data fusion, in order to solve the problems such as uncertainty, imprecision and low reliability caused by using a single sensor to diagnose the equipment faults. We used a variety of sensors to collect the data for diagnosed objects and fused the data by using D-S evidence theory, according to the change of confidence and uncertainty, diagnosed whether the faults happened. Experimental results show that, the D-S evidence theory algorithm can reduce the uncertainty of the results of fault diagnosis, improved diagnostic accuracy and reliability, and compared with the fault diagnosis using a single sensor, this method has a better effect.

scholarly journals A Hybrid Sliding Window Optimizer for Tightly-Coupled Vision-Aided Inertial Navigation System

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3418 ◽  
Author(s):  
Junxiang Jiang ◽  
Xiaoji Niu ◽  
Ruonan Guo ◽  
Jingnan Liu
Keyword(s):  
Navigation System ◽  
Motion Tracking ◽  
Inertial Navigation System ◽  
Low Cost ◽  
Inertial Navigation ◽  
Sliding Window ◽  
Tightly Coupled ◽  
Inertial Measurements ◽  
Space Requirements ◽  
Sensing Characteristics

The fusion of visual and inertial measurements for motion tracking has become prevalent in the robotic community, due to its complementary sensing characteristics, low cost, and small space requirements. This fusion task is known as the vision-aided inertial navigation system problem. We present a novel hybrid sliding window optimizer to achieve information fusion for a tightly-coupled vision-aided inertial navigation system. It possesses the advantages of both the conditioning-based method and the prior-based method. A novel distributed marginalization method was also designed based on the multi-state constraints method with significant efficiency improvement over the traditional method. The performance of the proposed algorithm was evaluated with the publicly available EuRoC datasets and showed competitive results compared with existing algorithms.

scholarly journals Positioning Accuracy of the Shearer Based on a Strapdown Inertial Navigation System in Underground Coal Mining

2020 ◽  
Vol 10 (6) ◽  
pp. 2176
Author(s):  
Gang Wu ◽  
Xinqiu Fang ◽  
Lei Zhang ◽  
Minfu Liang ◽  
Jiakun Lv ◽  
...  
Keyword(s):  
Coal Mining ◽  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Strapdown Inertial Navigation System ◽  
Experimental Results ◽  
Positioning System ◽  
Zero Bias ◽  
Positioning Accuracy ◽  
Strapdown Inertial Navigation

Automation and intelligent coal mining comprise the most important fields in coal mining technology research. The key to automation and intelligent coal mining is the automated mining of the working face, and accurate positioning of the shearer is one of the most important technologies in the automated mining process. However, significant defects in non-inertial navigation system (INS)-based methods have led to low positioning accuracy. In this paper, we propose a new shearer positioning technology to further improve the positioning accuracy of the shearer and monitor the shearer position in real time. The shearer positioning system proposed is based on the strapdown inertial navigation system (SINS). We conducted shearer positioning experiments with gyroscopes, accelerometers, and other inertial navigation instruments. The experimental results are thoroughly studied on the basis of error compensation techniques such as inertial instrument zero bias compensation and Kalman filter compensation. Compared with traditional shearer positioning technology, the experimental results show that the shearer positioning system based on SINS can achieve more accurate positioning of the shearer and can accurately reflect the running characteristics of the shearer working the mining face.

Tightly Coupled Visual-Inertial Navigation System Using Optical Flow

2013 ◽  
Vol 46 (30) ◽  
pp. 251-256 ◽  
Author(s):  
Simon Lynen ◽  
Sammy Omari ◽  
Matthias Wüest ◽  
Markus Achtelik ◽  
Roland Siegwart
Keyword(s):  
Optical Flow ◽  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Tightly Coupled

Improving Aiding techniques for USBL Tightly-Coupled Inertial Navigation System

2008 ◽  
Vol 41 (2) ◽  
pp. 15973-15978 ◽  
Author(s):  
M. Morgado ◽  
P. Oliveira ◽  
C. Silvestre ◽  
J.F. Vasconcelos
Keyword(s):  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Tightly Coupled
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