Smartphone-Based Indoor Positioning Technologies

Chen, Ruizhi; Chen, Liang

doi:10.1007/978-981-15-8983-6_26

Cited by 20 publications

(10 citation statements)

References 45 publications

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“…When the right car is monitored it is displayed on the interactive interface of the front panel and has a real time safety distance following the approaching vehicle, as shown in Figure 11 When the surrounding vehicles are below a safe distance from the driver, the monitored vehicle will turn red and the safety message in the upper right will turn red and a buzzer will sound inside the vehicle 9 . The colour will not change back to black until the distance between the two vehicles is back to a safe distance 10 .…”

Section: Debugging Resultsmentioning

confidence: 99%

Design and implementation of labview-based upper computer for car collision avoidance system

Teng,

Huang

2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

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The driver has to face many uncontrollable factors in the process of driving, which can lead to traffic accidents if he is not careful. LabVIEW, a graphical programming software, is used to design a distance monitoring system that monitors the distance travelled by an intelligent vehicle in real time, displays it dynamically and enables human-machine interaction. The serial communication part of the system is designed through the VISA toolkit in LabVIEW. It receives the distance measurement information from the lower computer system through the serial port, so that the upper computer system can judge the vehicles, pedestrians and obstacles around the driver in real time, monitor the traffic condition around the road in real time, display it dynamically and give safety tips when it is lower than the safe distance, thus helping the driver to make a safe distance judgment in time. This helps the driver to make timely judgements on the safe distance so that he can be prepared to brake and avoid traffci accidents.

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Section: Debugging Resultsmentioning

confidence: 99%

Design and implementation of labview-based upper computer for car collision avoidance system

Teng,

Huang

2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

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“…In addition, a higher accuracy and robustness can be achieved by combining data from additional available embedded sensors, such as magnetometers, barometers, Wi-Fi systems, and cameras [38,39]. The fusion of data from these sensors can overcome their individual limitations and provide a more precise and reliable navigation solution.…”

Section: Discussionmentioning

confidence: 99%

Smartphone MEMS Accelerometer and Gyroscope Measurement Errors: Laboratory Testing and Analysis of the Effects on Positioning Performance

Capuano,

Xu,

Estrada Benavides

2023

Sensors

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Embedding various sensors with powerful computing and storage capabilities in a small communication device, smartphones have become a prominent platform for navigation. With the increasing popularity of Apple CarPlay and Android Auto, smartphones are quickly replacing built-in automotive navigation solutions. On the other hand, smartphones are equipped with low-performance Micro Electro Mechanical Systems (MEMS) sensors to enhance their navigation performance in Global Navigation Satellite System (GNSS)-degraded or -denied environments. Compared with higher-grade inertial navigation systems (INS), MEMS-based INSs have a poor navigation performance due to large measurement errors. In this paper, we present laboratory test results on the stochastic and deterministic errors in MEMS inertial sensor measurements of five different smartphones from different manufacturers. Then, we describe and discuss the short-term effects of these errors on the pure inertial navigation performance and also on the tight coupling of the MEMS sensors with GNSS using a smartphone.

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“…The global indoor positioning, localization, and navigation (PLAN) market is expected to reach $28.2 billion by 2024, growing at a compound annual growth rate (CAGR) of 38.2% [4]. Therefore, driven by commercial potential, indoor positioning has been widely studied [5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Research on High Precision Positioning Method for Pedestrians in Indoor Complex Environments Based on UWB/IMU

Zhang

Wang

et al. 2023

Remote Sensing

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Location information is the core data in IoT applications, which is the essential foundation for scene interpretation and interconnection of everything, and thus high-precision positioning is becoming an immediate need. However, the non-line-of-sight (NLOS) effect of indoor complex environment on UWB signal occlusion has been a major factor limiting the improvement in ultra-wideband (UWB) positioning accuracy, and the optimization of NLOS error has not yet been studied in a targeted manner. To this end, this paper deeply analyzes indoor scenes, divides NLOS into two forms of spatial occlusion and human occlusion, and proposes a particle filtering algorithm based on LOS/NLOS mapping and NLOS error optimization. This algorithm is targeted to optimize the influence of two different forms of NLOS, using spatial a priori information to accurately judge the LOS/NLOS situation of the anchor, optimizing the NLOS anchor ranging using IMU to project the virtual position, judging whether the LOS anchor is affected by human occlusion, and correcting the affected LOS anchor using the established human occlusion error model. Through experimental verification, the algorithm can effectively suppress two different NLOS errors of spatial structure and human occlusion and can achieve continuous and reliable high-precision positioning and tracking in complex indoor environments.

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Smartphone-Based Indoor Positioning Technologies

Cited by 20 publications

References 45 publications

Design and implementation of labview-based upper computer for car collision avoidance system

Design and implementation of labview-based upper computer for car collision avoidance system

Smartphone MEMS Accelerometer and Gyroscope Measurement Errors: Laboratory Testing and Analysis of the Effects on Positioning Performance

Research on High Precision Positioning Method for Pedestrians in Indoor Complex Environments Based on UWB/IMU

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