Smartphone-Based Pedestrian Dead Reckoning for 3D Indoor Positioning

Geng, Jijun; Xia, Lan; Xia, Jingchao; Li, Qianxia; Zhu, Hongyu; Cai, Yuezhen

doi:10.3390/s21248180

Cited by 22 publications

(19 citation statements)

References 34 publications

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“…Jiang et al presented an approach to resolve the problem of tracking cooperative people, such as children, the elderly, or patients, by combining passive tracking (surveillance cameras) and active tracking (IMU carried by targets) techniques [21]. Geng et al proposed an indoor positioning method based on the micro-electro-mechanical system sensors of smartphones [22].…”

Section: Related Workmentioning

confidence: 99%

Tracking Pedestrians Under Occlusion in Parking Space

Zhou¹,

Yamada²,

Watanabe³

et al. 2023

Computer Systems Science and Engineering

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Many traffic accidents occur in parking lots. One of the serious safety risks is vehicle-pedestrian conflict. Moreover, with the increasing development of automatic driving and parking technology, parking safety has received significant attention from vehicle safety analysts. However, pedestrian protection in parking lots still faces many challenges. For example, the physical structure of a parking lot may be complex, and dead corners would occur when the vehicle density is high. These lead to pedestrians' sudden appearance in the vehicle's path from an unexpected position, resulting in collision accidents in the parking lot. We advocate that besides vehicular sensing data, high-precision digital map of the parking lot, pedestrians' smart device's sensing data, and attribute information of pedestrians can be used to detect the position of pedestrians in the parking lot. However, this subject has not been studied and explored in existing studies. To fill this void, this paper proposes a pedestrian tracking framework integrating multiple information sources to provide pedestrian position and status information for vehicles and protect pedestrians in parking spaces. We also evaluate the proposed method through real-world experiments. The experimental results show that the proposed framework has its advantage in pedestrian attribute information extraction and positioning accuracy. It can also be used for pedestrian tracking in parking spaces.

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Section: Related Workmentioning

confidence: 99%

Tracking Pedestrians Under Occlusion in Parking Space

Zhou¹,

Yamada²,

Watanabe³

et al. 2023

Computer Systems Science and Engineering

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“…Measurement of the azimuth by the magnetometer. After applying the calibration and applying formula (13), we connected the compass to an OLED (Organic Light-Emitting Diodes) screen to visualize the value of the magnetic angle. This test aims to verify the accuracy of the measurements results provided by the magnetometer.…”

Section: Measurement Of Euler Angles By the Gyroscopementioning

confidence: 99%

“…Moreover, these sensors have been used in sport medicine [11]. In smartphones, attitude information provided by the aforementioned sensors is used in navigation, and position estimation [12][13][14]. In robotics, MARG sensors could be found in medical and rehabilitation robots [15] as well as industrial production robots that include human-machine interface [16].…”

Section: Introductionmentioning

confidence: 99%

Simplification of calibration of low-cost MARG sensors without high-precision laboratory equipment

Sabir¹,

Zakriti²

2023

IRASE

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In mechatronic-related applications, estimating orientation from a magnetic, angular rate, and gravity (MARG) sensor array is a significant topic. Representing attitude orientation is a well-known topic in the aerospace industry, where it plays a critical role in airplanes and unmanned aerial vehicles (UAVs), but it has also gained relevance in other sectors. However, most of the sensors utilized are quite expensive, heavy, and large, making them unsuitable for modest applications. This paper examines the performance of several sensors in low-cost hardware and high-acceleration environments. A theorical method was adopted to estimate Euler angles by using accelerometer, gyroscope and magnetometer, and a robust and easy to implement method calibration was proposed to calibrate the MARG sensor without any external equipment. An experimental verification of the proposed calibration method was completed. The experimental results are then interpreted to provide an insight to advantages and disadvantages for using each sensor separately.

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“…Furthermore, PDR does not require an external infrastructure to be installed, unlike BLE or Wi-Fibased methods [19]. PDR technique [24]- [26] consists of two main stages. The first stage is step counting and travel distance estimation.…”

Section: B Pdr For Path Trackingmentioning

confidence: 99%

Automatic Hajj and Umrah Ritual Detection Using IMU Sensors

et al. 2022

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A smartphone can provide a wide range of practical applications and services thanks to its advanced sensing capabilities. However, the sector of Hajj and Umrah, which are rituals performed by millions of pilgrims, still lacks intelligent solutions that can improve the pilgrim experience using these sophisticated capabilities. This research aims to bridge this gap by introducing a solution that applies a realtime monitoring process to different Umrah activities (i.e., Tawaf and Sa'i) using smartphone sensors. In the proposed solution, the smartphone first tracks the pilgrim's path with the help of inertial sensors, commonly known as inertial measurement unit (IMU). Then, an algorithm is developed to detect and process the different activities performed by the user and provide helpful instructions accordingly for a comfortable and successful experience. The proposed system was tested and validated using real data for Tawaf and Sa'i activities. The extracted paths were compared with the GPS data for validation. Results showed that the paths were extracted effectively and the algorithm monitored both Tawaf and Sa'i successfully. The deviation between the real path and the extracted path using the proposed algorithm can be enhanced with proper GPS assessment and step-length calibration.

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Smartphone-Based Pedestrian Dead Reckoning for 3D Indoor Positioning

Cited by 22 publications

References 34 publications

Tracking Pedestrians Under Occlusion in Parking Space

Tracking Pedestrians Under Occlusion in Parking Space

Simplification of calibration of low-cost MARG sensors without high-precision laboratory equipment

Automatic Hajj and Umrah Ritual Detection Using IMU Sensors

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