A Real-Time Indoor Positioning System Based on RFID and Kinect

Wang, Ching-Sheng; Chen, Chien-Liang; Guo, Youming

doi:10.1007/978-94-007-6996-0_61

Cited by 4 publications

(7 citation statements)

References 7 publications

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“…In the following, we briefly describe the principle and the functionality of each layer. More details can be found in the literature [5,6,23,24,25].…”

Section: Principle Of Wlan Localization Systemsmentioning

confidence: 99%

“…The reference point that has the most similar RSS distribution to the online measurement is finally chosen as the estimated position. This is the so called nearest neighbor method [5] [6]. Since the wireless channel is noisy, the accuracy of location estimation is limited.…”

Section: Principle Of Wlan Localization Systemsmentioning

confidence: 99%

“…So if we only consider the direct path, the predicted signal power at the receiver will be much lower than the real measurement. The dominant path model [6,9] aims to find the signal propagation path, which dominates the received power. So the idea of the dominant path model is to find the path which has the smallest power loss.…”

Section: Map-assisted Radio Map Generationmentioning

confidence: 99%

“…So the idea of the dominant path model is to find the path which has the smallest power loss. The calculation of the dominant path can be found in [6], which is similar to finding the shortest path between AP and mobile terminal. Figure 3 and Table 1 show the generated radio maps and the positioning results using different channel models [6].…”

Section: Map-assisted Radio Map Generationmentioning

confidence: 99%

“…In indoor systems, researchers also proposed dozens of map-assisted algorithms. For example, to generate the radio map, [6][9] used multi-wall and dominant path models and [10] used parametric raytracing. They all need to know the room and the wall information.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Enhancing the Map Usage for Indoor Location-Aware Systems

Wang

Lenz

Szabo

et al.

Lecture Notes in Computer Science

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Abstract. Location-aware systems are receiving more and more interest in both academia and industry due to their promising prospective in a broad category of so-called Location-Based-Services (LBS). The map interface plays a crucial role in the location-aware systems, especially for indoor scenarios. This paper addresses the usage of map information in a Wireless LAN (WLAN)-based indoor navigation system. We describe the benefit of using map information in multiple algorithms of the system, including radio-map generation, tracking, semantic positioning and navigation. Then we discuss how to represent or model the indoor map to fulfill the requirements of intelligent algorithms. We believe that a vector-based multi-layer representation is the best choice for indoor location-aware system.

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“…In the following, we briefly describe the principle and the functionality of each layer. More details can be found in the literature [5,6,23,24,25].…”

Section: Principle Of Wlan Localization Systemsmentioning

confidence: 99%

Section: Principle Of Wlan Localization Systemsmentioning

confidence: 99%

Section: Map-assisted Radio Map Generationmentioning

confidence: 99%

Section: Map-assisted Radio Map Generationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Enhancing the Map Usage for Indoor Location-Aware Systems

Wang

Lenz

Szabo

et al.

Lecture Notes in Computer Science

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LAR: a low-power, high-precision mobile phone-based AR system

Dai

Shang

Tong

et al. 2020

Pers Ubiquit Comput

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Systematic Review of Dynamic Multi-Object Identification and Localization: Techniques and Technologies

Ali¹,

Liu²,

He³

et al. 2021

IEEE Access

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Object identification and localization in indoor and outdoor environments are paramount issues in object-human interaction. Recent advancements in the data fusion capabilities of multi-sensor systems have paved the way for research on emerging object identification and positioning techniques. This review describes techniques and methods used in positioning technologies. State-of-the-art localization technologies are classified into range-based, range-free and AI-based categories. An in-depth analysis of localization approaches based on laser range finder, radio-frequency identification, ultra-wideband, inertial measurement unit, etc., are presented by providing a detailed comparison based on range, accuracy, measurement method, advantages, disadvantages, and their applications. Furthermore, we investigate stateof-the-art multimodal data fusion techniques that utilize probabilistic methods for the precise estimation of object identification in motion and its localization.INDEX TERMS Indoor and outdoor positioning systems; identification and localization; unstructured environment; multi-sensor system; multi-object; positioning and localization techniques.

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A Real-Time Indoor Positioning System Based on RFID and Kinect

Cited by 4 publications

References 7 publications

Enhancing the Map Usage for Indoor Location-Aware Systems

Enhancing the Map Usage for Indoor Location-Aware Systems

LAR: a low-power, high-precision mobile phone-based AR system

Systematic Review of Dynamic Multi-Object Identification and Localization: Techniques and Technologies

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