Magnetic Maps for Indoor Navigation

Gozick, Brandon; Subbu, Kalyan Pathapati; Dantu, Ram; Maeshiro, Tetsuya

doi:10.1109/tim.2011.2147690

Cited by 211 publications

(132 citation statements)

References 10 publications

Supporting

Mentioning

130

Contrasting

Unclassified

Order By: Relevance

“…However, there are systems that do not use these installed devices. Instead, they make use of the magnetic properties of pillars, steel structures, electric power systems, electronic appliances and other structures that exhibit some form of magnetic field (Gozick, Subbu, Dantu, & Maeshiro, 2011).…”

Section: Magnetic Positioning Systemmentioning

confidence: 99%

“…Other variations of these magnetic field types are artificial magnetic field and electromagnetic field (Mautz, 2012), and static magnetic field and dynamic magnetic field (Gozick et al, 2011). In the static or artificial magnetic field, magnetic field is generated with permanent magnets, or coils using Alternating Current (AC) or pulsed Direct Current (DC) (Mautz, 2012;Talcoth & Rylander, 2011).…”

Section: Magnetic Positioning Systemmentioning

confidence: 99%

“…In addition, oscillating charges produce electric and magnetic fields (Ibid.). In essence, these magnetic fields change dynamically from an electrical field or device (Gozick et al, 2011). In the survey by Mautz (2012), he classified the studies surveyed into the following categories: systems using antenna near field, systems using magnetic fields from currents, systems using permanent magnets and systems using magnetic fingerprinting.…”

Section: Magnetic Positioning Systemmentioning

confidence: 99%

“…In addition, significant effort and time is required for system configuration and setup, with a fair accuracy and performance (Ibid.). Furthermore, Gozick et al (2011), S.-E. Kim et al (2012) and Du et al (2016) used a mobile phone and building structures to aid positioning and navigation. The building structures act as landmarks and guideposts within the system.…”

Section: Magnetic Positioning Systemmentioning

confidence: 99%

“…In addition to that, they made use of software development methods to develop an application that will run in the smartphone, activate the sensors and record the sensor readings. The magnetic field variations inside the building is used as magnetic fingerprints to identify landmarks, corridors and rooms effectively; thus, the system does not require additional infrastructures (B. Li et al, 2012; S.-E. Kim et al, 2012;Gozick et al, 2011). However, certain fluctuations and errors exist in the measurement of the magnetic field (B. Li et al, 2012; S.-E. Kim et al, 2012).…”

Section: Magnetic Positioning Systemmentioning

confidence: 99%

See 4 more Smart Citations

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

Sakpere

Oshin

Mlitwa

2017

SACJ

150

129

View full text Add to dashboard Cite

The research and use of positioning and navigation technologies outdoors has seen a steady and exponential growth. Based on this success, there have been attempts to implement these technologies indoors, leading to numerous studies. Most of the algorithms, techniques and technologies used have been implemented outdoors. However, how they fare indoors is different altogether. Thus, several technologies have been proposed and implemented to improve positioning and navigation indoors. Among them are Infrared (IR), Ultrasound, Audible Sound, Magnetic, Optical and Vision, Radio Frequency (RF), Visible Light, Pedestrian Dead Reckoning (PDR)/Inertial Navigation System (INS) and Hybrid. The RF technologies include Bluetooth, Ultra-wideband (UWB), Wireless Sensor Network (WSN), Wireless Local Area Network (WLAN), Radio-Frequency Identification (RFID) and Near Field Communication (NFC). In addition, positioning techniques applied in indoor positioning systems include the signal properties and positioning algorithms. The prevalent signal properties are Angle of Arrival (AOA), Time of Arrival (TOA), Time Difference of Arrival (TDOA) and Received Signal Strength Indication (RSSI), while the positioning algorithms are Triangulation, Trilateration, Proximity and Scene Analysis/ Fingerprinting. This paper presents a state-of-the-art survey of indoor positioning and navigation systems and technologies, and their use in various scenarios. It analyses distinct positioning technology metrics such as accuracy, complexity, cost, privacy, scalability and usability. This paper has profound implications for future studies of positioning and navigation.

show abstract

Section: Magnetic Positioning Systemmentioning

confidence: 99%

Section: Magnetic Positioning Systemmentioning

confidence: 99%

Section: Magnetic Positioning Systemmentioning

confidence: 99%

Section: Magnetic Positioning Systemmentioning

confidence: 99%

Section: Magnetic Positioning Systemmentioning

confidence: 99%

See 3 more Smart Citations

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

Sakpere

Oshin

Mlitwa

2017

SACJ

150

129

View full text Add to dashboard Cite

show abstract

GUIDE: Smartphone sensors‐based pedestrian indoor localization with heterogeneous devices

Ashraf

Hur

Shafiq

et al. 2019

Int J Communication

View full text Add to dashboard Cite

Summary A plethora of indoor localization systems based on Wi‐Fi, radio frequency chips, ultra‐wide‐band, and bluetooth have been proposed, yet these systems do not work when the infrastructure is absent. On the other hand, infrastructure less systems benefit mostly from off‐the‐shelf smartphone sensors and do not need additional hardware. This study shows a similar indoor localization approach which turns smartphone built‐in sensors to good account. We take advantage of magnetic field strength fingerprinting approach to localize a pedestrian indoor. In addition, accelerometer and gyroscope sensors are utilized to find the pedestrian's traveled distance and heading estimation, respectively. Our aim is to solve the problem of device dependence by devising an approach that can perform localization using various smartphones in a similar fashion. We make the use of patterns of magnetic field strength to formulate the fingerprint database to achieve this goal. This approach solves two problems: need to update the database periodically and device dependence. We conduct experiments using Samsung Galaxy S8 and LG G6 for five different buildings with different dimensions in Yeungnam University, Republic of Korea. The evaluation is performed by following three different path geometries inside the buildings. The results show that the proposed localization approach can potentially be used for indoor localization with heterogeneous devices. The errors for path 1 and path 2 are very similar, however, localization error for path 3 is comparatively higher because of the complexity of the path 3. The mean and median errors for Galaxy S8 are 1.37 and 0.88 m while for LG G6, these are 1.84 and 1.21 m, respectively, while considering all buildings and all paths followed during the experiment. Overall, the proposed approach can potentially localize a pedestrian within 1.21 m at 50% and within 1.93 m at 75%, irrespective of the device used for localization. The performance of the proposed approach is compared with the K nearest neighbor (KNN) for evaluation. The proposed approach outperforms the KNN

show abstract

Evaluation of Power-Based Stair Climb Performance via Inertial Measurement Units

Hellmers

Lau

Diekmann

et al. 2019

Communications in Computer and Information Science

View full text Add to dashboard Cite

Magnetic Maps for Indoor Navigation

Cited by 211 publications

References 10 publications

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

GUIDE: Smartphone sensors‐based pedestrian indoor localization with heterogeneous devices

Evaluation of Power-Based Stair Climb Performance via Inertial Measurement Units

Contact Info

Product

Resources

About