摘要 :
Location-based services are key applications in wireless cellular networks, under both outdoor and indoor environments. Location fingerprinting method is favored by most researchers because of its suitable for indoor scenario and ...
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Location-based services are key applications in wireless cellular networks, under both outdoor and indoor environments. Location fingerprinting method is favored by most researchers because of its suitable for indoor scenario and high accuracy. This paper establishes an indoor positioning environment to distinguish floors. As shown in simulation, the proposed algorithm could achieve indoor positioning with an accuracy of about 2 meters and floor distinguish with an accuracy of about 70 percent.
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摘要 :
Location-based services are key applications in wireless cellular networks, under both outdoor and indoor environments. Location fingerprinting method is favored by most researchers because of its suitable for indoor scenario and ...
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Location-based services are key applications in wireless cellular networks, under both outdoor and indoor environments. Location fingerprinting method is favored by most researchers because of its suitable for indoor scenario and high accuracy. This paper establishes an indoor positioning environment to distinguish floors. As shown in simulation, the proposed algorithm could achieve indoor positioning with an accuracy of about 2 meters and floor distinguish with an accuracy of about 70 percent.
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摘要 :
One major challenge in indoor localization systems is the determination of the ground truth data and generalization of accuracy results. Additionally, there isn't any existing accuracy generalization benchmark for indoor positioni...
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One major challenge in indoor localization systems is the determination of the ground truth data and generalization of accuracy results. Additionally, there isn't any existing accuracy generalization benchmark for indoor positioning systems. Existing indoor localization systems are built and validated based on the environment being considered. Therefore the results for accuracy and the precision may not be generalizable once different ground truth approaches are used to test the same system or positioning algorithm used. This calls for the need to formulate experimentation benchmarks for accuracy determination. This paper first presents selected ground truth approaches used in indoor positioning literature, and then propose benchmarking criteria based on the discrete point approach for fixing ground truth data for indoor localization with the goal of improving on the generality of the accuracy results. From our experiments, the accuracy generality analysis based on single and multiple discrete point ground truth data confirms varying accuracies using the same position estimation system. The proposed accuracy generalization benchmark is based on the similarity of accuracy results in various scenarios. Similarity of accuracies is determined based on affinity propagation.
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摘要 :
One major challenge in indoor localization systems is the determination of the ground truth data and generalization of accuracy results. Additionally, there isn't any existing accuracy generalization benchmark for indoor positioni...
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One major challenge in indoor localization systems is the determination of the ground truth data and generalization of accuracy results. Additionally, there isn't any existing accuracy generalization benchmark for indoor positioning systems. Existing indoor localization systems are built and validated based on the environment being considered. Therefore the results for accuracy and the precision may not be generalizable once different ground truth approaches are used to test the same system or positioning algorithm used. This calls for the need to formulate experimentation benchmarks for accuracy determination. This paper first presents selected ground truth approaches used in indoor positioning literature, and then propose benchmarking criteria based on the discrete point approach for fixing ground truth data for indoor localization with the goal of improving on the generality of the accuracy results. From our experiments, the accuracy generality analysis based on single and multiple discrete point ground truth data confirms varying accuracies using the same position estimation system. The proposed accuracy generalization benchmark is based on the similarity of accuracy results in various scenarios. Similarity of accuracies is determined based on affinity propagation.
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摘要 :
Indoor positioning systems (IPS) are used to locate the position of objects in indoor environments. Due to its many real-world applications, IPS has garnered interest from both academia and industry. Each IPS is made up of three m...
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Indoor positioning systems (IPS) are used to locate the position of objects in indoor environments. Due to its many real-world applications, IPS has garnered interest from both academia and industry. Each IPS is made up of three major components: sensor technology, position-finding technique, and operating algorithm. The goal of this paper is to examine and independently compare different types of components with the aim to understand and make useful suggestions for improvement. This paper also presents the past and current trends in IPS and predict the future trends in approaches to the design and implementation of IPS.
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摘要 :
Indoor positioning systems (IPS) are used to locate the position of objects in indoor environments. Due to its many real-world applications, IPS has garnered interest from both academia and industry. Each IPS is made up of three m...
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Indoor positioning systems (IPS) are used to locate the position of objects in indoor environments. Due to its many real-world applications, IPS has garnered interest from both academia and industry. Each IPS is made up of three major components: sensor technology, position-finding technique, and operating algorithm. The goal of this paper is to examine and independently compare different types of components with the aim to understand and make useful suggestions for improvement. This paper also presents the past and current trends in IPS and predict the future trends in approaches to the design and implementation of IPS.
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摘要 :
Previously, we have shown SmartFinder as an indoor localization system of many mobile smart devices with three anchor nodes without prepared measurements. It can localize smart devices with high accuracy. Unfortunately, its accura...
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Previously, we have shown SmartFinder as an indoor localization system of many mobile smart devices with three anchor nodes without prepared measurements. It can localize smart devices with high accuracy. Unfortunately, its accuracy deteriorates with a small number of smart devices in indoor space. In this paper, we propose a SmartFinder with multiplexed topology, which virtually increases the number of devices by handling each moving location of the mobile devices in discrete time as multiple locations of each different device, and show our new proposed method's effectiveness.
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摘要 :
Previously, we have shown SmartFinder as an indoor localization system of many mobile smart devices with three anchor nodes without prepared measurements. It can localize smart devices with high accuracy. Unfortunately, its accura...
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Previously, we have shown SmartFinder as an indoor localization system of many mobile smart devices with three anchor nodes without prepared measurements. It can localize smart devices with high accuracy. Unfortunately, its accuracy deteriorates with a small number of smart devices in indoor space. In this paper, we propose a SmartFinder with multiplexed topology, which virtually increases the number of devices by handling each moving location of the mobile devices in discrete time as multiple locations of each different device, and show our new proposed method's effectiveness.
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摘要 :
Global Navigation Satellite System (GNSS) has the advantages of high positioning accuracy, fast, time-saving and efficient. GNSS is commonly used in outdoor positioning. However, it is sometimes difficult to receive GNSS signals i...
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Global Navigation Satellite System (GNSS) has the advantages of high positioning accuracy, fast, time-saving and efficient. GNSS is commonly used in outdoor positioning. However, it is sometimes difficult to receive GNSS signals in the room because the satellite signals are easily blocked. It is extremely important to find the indoor location method. At the same time, the comprehensive use of intelligent mobile terminal makes people's daily life more and more convenient. Intelligent mobile terminals contain a large number of sensors. We can calculate the location of the target and complete the indoor location of intelligent mobile terminals with these sensors and Bluetooth Low Energy (BLE) device. Due to the current indoor map data collection is not only a heavy workload but also a low efficiency, Building Information Model (BIM) is one of the key technologies to solve the indoor map data collection and visualization in the indoor location of the intelligent mobile terminal. In this paper, intelligent mobile terminal indoor positioning technology based on BIM and BLE technology is introduced innovatively to solve the GNSS cannot be applied to the positioning of the indoor environment problems and the establishment of internal architecture in mobile intelligent terminal positioning model. Relying on this technology, the intelligent mobile terminal indoor positioning platform has been developed to realize the three-dimensional positioning of the intelligent mobile terminal. Experimental results show that the BIM and intelligent mobile terminal can be combined successfully and the accuracy of indoor location is the average value of X coordinate direction error is 1.417m, the average value of Y coordinate direction error is 1.530m, and the Z coordinate direction error average value is 1.452m.
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摘要 :
Global Navigation Satellite System (GNSS) has the advantages of high positioning accuracy, fast, time-saving and efficient. GNSS is commonly used in outdoor positioning. However, it is sometimes difficult to receive GNSS signals i...
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Global Navigation Satellite System (GNSS) has the advantages of high positioning accuracy, fast, time-saving and efficient. GNSS is commonly used in outdoor positioning. However, it is sometimes difficult to receive GNSS signals in the room because the satellite signals are easily blocked. It is extremely important to find the indoor location method. At the same time, the comprehensive use of intelligent mobile terminal makes people's daily life more and more convenient. Intelligent mobile terminals contain a large number of sensors. We can calculate the location of the target and complete the indoor location of intelligent mobile terminals with these sensors and Bluetooth Low Energy (BLE) device. Due to the current indoor map data collection is not only a heavy workload but also a low efficiency, Building Information Model (BIM) is one of the key technologies to solve the indoor map data collection and visualization in the indoor location of the intelligent mobile terminal. In this paper, intelligent mobile terminal indoor positioning technology based on BIM and BLE technology is introduced innovatively to solve the GNSS cannot be applied to the positioning of the indoor environment problems and the establishment of internal architecture in mobile intelligent terminal positioning model. Relying on this technology, the intelligent mobile terminal indoor positioning platform has been developed to realize the three-dimensional positioning of the intelligent mobile terminal. Experimental results show that the BIM and intelligent mobile terminal can be combined successfully and the accuracy of indoor location is the average value of X coordinate direction error is 1.417m, the average value of Y coordinate direction error is 1.530m, and the Z coordinate direction error average value is 1.452m.
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