A combined GPS UWB and MARG locationing algorithm for indoor and outdoor mixed scenario

Zhang, Kun; Shen, Chong; Zhou, Qun; Wang, Haifeng; Gao, Qian; Chen, Yu‐Shan

doi:10.1007/s10586-018-1735-9

Cited by 43 publications

(24 citation statements)

References 8 publications

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“…Due to UWB system adopts nanosecond or sub-nanosecond pulse signal to ranging, UWB signal has strong anti-multipath ability and provides more stable positioning result. It is widely used in many kinds of localization scenarios, and the accuracy of UWB location system can reach centimeter level [23].…”

Section: Introductionmentioning

confidence: 99%

Single UWB Anchor Aided PDR Heading and Step Length Correcting Indoor Localization System

et al. 2021

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Section: Introductionmentioning

confidence: 99%

Single UWB Anchor Aided PDR Heading and Step Length Correcting Indoor Localization System

et al. 2021

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“…Most people cannot live without the location service and the navigation system based on GPS (Global Position System) in their daily life. Obviously, outdoor localization technology has been relatively mature, and many mobile devices also refer to outdoor location technology [1,2,3,4]. Due to the particularity of indoor environment, the GPS signal cannot directly meet the requirements of indoor localization service.…”

Section: Introductionmentioning

confidence: 99%

Research on Indoor Scene Classification Mechanism Based on Multiple Descriptors Fusion

Qin

Pan

et al. 2020

Mobile Information Systems

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This study aims at the great limitations caused by the non-ROI (region of interest) information interference in traditional scene classification algorithms, including the changes of multiscale or various visual angles and the high similarity between classes and other factors. An effective indoor scene classification mechanism based on multiple descriptors fusion is proposed, which introduces the depth images to improve descriptor efficiency. The greedy descriptor filter algorithm (GDFA) is proposed to obtain valuable descriptors, and the multiple descriptor combination method is also given to further improve descriptor performance. Performance analysis and simulation results show that multiple descriptors fusion not only can achieve higher classification accuracy than principal components analysis (PCA) in the condition with medium and large size of descriptors but also can improve the classification accuracy than the other existing algorithms effectively.

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“…Segura et al [17] used the ultra wideband (UWB) system for indoor navigation and achieved a positioning error of 20 cm (the anchor method by Großwindhager et al [18] also showed an error of 20 cm); however, this method is more difficult to apply (comparing to BLE and WiFi-based methods) due to the requirement of having specific equipment, which may not be available to regular users. Zhang et al [19] proposed the use of a combination of GPS, UWB, and MARG (magnetic, angular rate, and gravity), achieving a positioning error is 3.2 m, which might not be acceptable for a blind person. Zhou et al [20] proposed a combined method based on images from a smartphone camera capturing the surrounding scene and pedestrian dead reckoning (PDR) to determine the pedestrian’s trajectory with an accuracy of about 0.56 m. Using embedded inertial sensors [21] and PDR [22] by updating the current position through measuring the length and title of each step, enabled reaching an error of 1.96 m. A similar multisensory approach improved this up to 1.46 m [23].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Type-2 Based Wireless Indoor Localization System for Navigation of Visually Impaired People in Buildings

Almadani

Orujov

Maskeliūnas

et al. 2019

Sensors

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The ability to precisely locate and navigate a partially impaired or a blind person within a building is increasingly important for a wide variety of public safety and localization services. In this paper, we explore indoor localization algorithms using Bluetooth Low Energy (BLE) beacons. We propose using the BLE beacon’s received signal strength indication (RSSI) and the geometric distance from the current beacon to the fingerprint point in the framework of fuzzy logic for calculating the Euclidean distance for the subsequent determination of location. According to our results, the fingerprinting algorithm with fuzzy logic type-2 (hesitant fuzzy sets) is fit for use as an indoor localization method with BLE beacons. The average error of localization is only 0.43 m, and the algorithm obtains a navigation precision of 98.2 ± 1%. This precision confirms that the algorithms provide great aid to a visually impaired person in unknown spaces, especially those designed without physical tactile guides, as confirmed by low Fréchet and Hausdorff distance values and high navigation efficiency index (NEI) scores.

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A combined GPS UWB and MARG locationing algorithm for indoor and outdoor mixed scenario

Cited by 43 publications

References 8 publications

Single UWB Anchor Aided PDR Heading and Step Length Correcting Indoor Localization System

Single UWB Anchor Aided PDR Heading and Step Length Correcting Indoor Localization System

Research on Indoor Scene Classification Mechanism Based on Multiple Descriptors Fusion

Fuzzy Logic Type-2 Based Wireless Indoor Localization System for Navigation of Visually Impaired People in Buildings

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