A near-optimal low complexity sensor fusion technique for accurate indoor localization based on ultrasound time of arrival measurements from low-quality sensors

2009 ◽  
Author(s):  
Stelios A. Mitilineos ◽  
Nick D. Argyreas ◽  
Stelios C. A. Thomopoulos
Keyword(s):  
Sensor Fusion ◽  
Indoor Localization ◽  
Low Complexity ◽  
Time Of Arrival ◽  
Fusion Technique

Low Cost Sensor Data Fusion in Omnidirectional Mobile Robot Feedback System to Improve the Navigation Accuracy

2014 ◽  
Vol 607 ◽  
pp. 791-794 ◽  
Author(s):  
Wei Kang Tey ◽  
Che Fai Yeong ◽  
Yip Loon Seow ◽  
Eileen Lee Ming Su ◽  
Swee Ho Tang
Keyword(s):  
Mobile Robot ◽  
Sensor Fusion ◽  
Low Cost ◽  
Feedback System ◽  
Sensor Data ◽  
Research Setting ◽  
Fusion Technique ◽  
Omnidirectional Mobile Robot ◽  
The Cost ◽  
Navigation Accuracy

Omnidirectional mobile robot has gained popularity among researchers. However, omnidirectional mobile robot is rarely been applied in industry field especially in the factory which is relatively more dynamic than normal research setting condition. Hence, it is very important to have a stable yet reliable feedback system to allow a more efficient and better performance controller on the robot. In order to ensure the reliability of the robot, many of the researchers use high cost solution in the feedback of the robot. For example, there are researchers use global camera as feedback. This solution has increases the cost of the robot setup fee to a relatively high amount. The setup system is also hard to modify and lack of flexibility. In this paper, a novel sensor fusion technique is proposed and the result is discussed.

scholarly journals Scene Recognition for Indoor Localization Using a Multi-Sensor Fusion Approach

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2847 ◽  
Author(s):  
Mengyun Liu ◽  
Ruizhi Chen ◽  
Deren Li ◽  
Yujin Chen ◽  
Guangyi Guo ◽  
...  
Keyword(s):  
Sensor Fusion ◽  
Indoor Localization ◽  
Scene Recognition ◽  
Fusion Approach

Blind Low Complexity Time-Of-Arrival Estimation Algorithm for UWB Signals

2015 ◽  
Vol 22 (11) ◽  
pp. 2019-2023 ◽  
Author(s):  
Eva Arias-de-Reyna ◽  
Juan Jose Murillo-Fuentes ◽  
Rafael Boloix-Tortosa
Keyword(s):  
Estimation Algorithm ◽  
Low Complexity ◽  
Time Of Arrival

scholarly journals A Loose-Coupled Fusion of Inertial and UWB Assisted by a Decision-Making Algorithm for Localization of Emergency Responders

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1463 ◽  
Author(s):  
André G. Ferreira ◽  
Duarte Fernandes ◽  
André P. Catarino ◽  
Ana M. Rocha ◽  
João L. Monteiro
Keyword(s):  
Decision Making ◽  
Indoor Localization ◽  
Dead Reckoning ◽  
Time Of Arrival ◽  
Robust Solution ◽  
Localization Accuracy ◽  
Positioning Systems ◽  
Emergency Responders ◽  
Pedestrian Dead Reckoning ◽  
Non Line Of Sight

Combining different technologies is gaining significant popularity among researchers and industry for the development of indoor positioning systems (IPSs). These hybrid IPSs emerge as a robust solution for indoor localization as the drawbacks of each technology can be mitigated or even eliminated by using complementary technologies. However, fusing position estimates from different technologies is still very challenging and, therefore, a hot research topic. In this work, we pose fusing the ultrawideband (UWB) position estimates with the estimates provided by a pedestrian dead reckoning (PDR) by using a Kalman filter. To improve the IPS accuracy, a decision-making algorithm was developed that aims to assess the usability of UWB measurements based on the identification of non-line-of-sight (NLOS) conditions. Three different data fusion algorithms are tested, based on three different time-of-arrival positioning algorithms, and experimental results show a localization accuracy of below 1.5 m for a 99th percentile.

scholarly journals A Low Complexity System Based on Multiple Weighted Decision Trees for Indoor Localization

Sensors ◽  
2015 ◽  
Vol 15 (6) ◽  
pp. 14809-14829 ◽  
Author(s):  
David Sánchez-Rodríguez ◽  
Pablo Hernández-Morera ◽  
José Quinteiro ◽  
Itziar Alonso-González
Keyword(s):  
Decision Trees ◽  
Indoor Localization ◽  
Low Complexity
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