Contextual Awareness in a WSN/RFID Fusion Navigation System

Enriquez, Guillermo; Park, Sunhong; Hashimoto, Shuji

doi:10.1155/2014/198569

Cited by 3 publications

(2 citation statements)

References 12 publications

(16 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where A = I + FΔt + 1/2 FΔt 2 , x k represents the state of time instant t k , and w k represents process noise. The covariance of w k is calculated by Q k as Q k = Qdt + 1 2 FQ + QF T dt 2 + 1 6 2FQF T + FFQ + QF T F T dt 3…”

Section: Complexitymentioning

confidence: 99%

“…The first kind is relatively mature, but the signals are blocked by tall buildings or when users are indoor or inside places like caves or jungles. The second kind based on the wireless frequency signal (such as wireless fidelity [2], radio frequency identification [3], and ultrawideband [4]) requires preinstallation of signal transmitting equipment in the positioning area, which is costly and has a limited application range. It cannot be used in the positioning area and in rooms where there are no signal transmitting/receiving devices.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition

Wang

Kong

et al. 2018

Complexity

View full text Add to dashboard Cite

An inertial measurement unit-based pedestrian navigation system that relies on the intelligent learning algorithm is useful for various applications, especially under some severe conditions, such as the tracking of firefighters and miners. Due to the complexity of the indoor environment, signal occlusion problems could lead to the failure of certain positioning methods. In complex environments, such as those involving fire rescue and emergency rescue, the barometric altimeter fails because of the influence of air pressure and temperature. This paper used an optimal gait recognition algorithm to improve the accuracy of gait detection. Then a learning-based moving direction determination method was proposed. With the Kalman filter and a zero-velocity update algorithm, different gaits could be accurately recognized, such as going upstairs, downstairs, and walking flat. According to the recognition results, the position change in the vertical direction could be reasonably corrected. The obtained 3D trajectory involving both horizontal and vertical movements has shown that the accuracy is significantly improved in practical complex environments.

show abstract

Section: Complexitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition

Wang

Kong

et al. 2018

Complexity

View full text Add to dashboard Cite

show abstract

A review on indoor human aware autonomous mobile robot navigation through a dynamic environment survey of different path planning algorithm and methods

Pol

Murugan

2015

2015 International Conference on Industrial Instrumentation and Control (ICIC)

View full text Add to dashboard Cite

Practical realistic environment for path and continuous motion planning problems normally consist of numerous working areas such as in indoor application consist of number of bedrooms, hallways, multiple doorways with many static and dynamic obstacle in between. Disintegration of such environment into small areas, or regions shows impact on the quality of adaptive path planning in dynamic environment. Many algorithms are developed for solving problems involving narrow passages and multiple regions with optimal solution. Autonomous mobile robot system must have sense of balance of its potential, steadfastness and sturdiness issue with task and the final goals while generating and executing an adaptive as well as effective strategy with optimal solution. Navigation algorithms approaching to a certain maturity in the field of autonomous mobile robot, so most of research is now focused more advance task like adaptive path planning and navigation through dynamic environments. Adaptive path planning and navigation needs to set learning rate, rules for classifying spaces and defining proposed library parameters. The aim of this survey is to informing the progress of human sentient manipulation planner.Keyword -Autonomous mobile robot navigation, navigation through dynamic environment, adaptive path planning, human machine interaction, human aware navigation.

show abstract

Real Time Data Acquisition and Network Topology Research of Wireless Sensor Based on RFID

Chen

2018

Int. J. Onl. Eng.

View full text Add to dashboard Cite

Abstract-In order to improve the warehouse cargo flow and detect the temperature and humidity of storage, the characteristics of the topology of various wireless sensor networks were compared. The tree topology was used. The routing algorithms and routing methods were summarized. A brief description of the networking process was given. Then, the goods data of wireless sensor network and the data collection process of storage environment were designed. The various nodes and the workflow of the RFID system were described. Finally, the warehousing goods data and environmental data were collected and tested. The results showed that the system accurately identified the pallet tag and the cargo tag. At the same time, the storage temperature and the humidity data were monitored in real time. Therefore, the system meets the company's functional requirements for information collection and environmental monitoring of warehousing goods. The effect is good.Keywords-RFID; wireless sensor; real-time; data acquisition; network topology IntroductionBecause of its non-contact, fast recognition speed, strong anti-interference ability, long identification distance and high recognition accuracy, RFID technology has been applied in the field of traffic management, automatic charging, logistics and anticounterfeiting. The RFID technology is applied to storage management, and the warehousing goods information is collected and processed in real time. Combined with the wireless sensor network, the storage environment information is monitored. Automated and intelligent warehouse management is realized. While enhancing the efficiency of enterprises, it also meets the development needs of modern warehouse management.In order to meet the needs of the development of modern logistics, warehousing must adopt intelligent, automated and networked management. An advanced and efficient warehouse management system has an important role in the logistics industry. Based on RFID technology, and combined with wireless sensor network (WSN) technology and database technology, an accurate and efficient warehouse management platform is designed. The collection, transmission, storage and management of 198

show abstract

Contextual Awareness in a WSN/RFID Fusion Navigation System

Cited by 3 publications

References 12 publications

3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition

3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition

A review on indoor human aware autonomous mobile robot navigation through a dynamic environment survey of different path planning algorithm and methods

Real Time Data Acquisition and Network Topology Research of Wireless Sensor Based on RFID

Contact Info

Product

Resources

About