DOLPHIN: an autonomous indoor positioning system in ubiquitous computing environment

Fukuju, Y.; Minami, Masateru; Morikawa, Hiroyuki; Aoyama, T.

doi:10.1109/wstfes.2003.1201360

Cited by 145 publications

(100 citation statements)

References 3 publications

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“…Liu, Darabi, Banerjee, & Liu, 2007). The early indoor navigation systems involved using sensors, which consist of transmitters and receivers, for tracking and positioning (Want, Hopper, Falcão, & Gibbons, 1992;Fukuju, Minami, Morikawa, & Aoyama, 2003;Minami et al, 2004). Either of the transmitters or receivers could be fixed while the other is on the user who is in motion.…”

Section: Indoor Navigationmentioning

confidence: 99%

“…These tags or nodes serve as receivers or transmitters; when one is stationary or fixed, the other will be in motion (Holm, 2012;Medina, Segura, & De la Torre, 2013). The widely known Ultrasound positioning systems include the Active Bat (Woodman & Harle, 2010), Cricket system (Priyantha, 2005) and Dolphin system (Fukuju et al, 2003;Minami et al, 2004). Newer variations of these studies include that of A. , Lindo, García, Ureña, Pérez, and Hernández (2015), Yayan, Yucel, and Yazici (2015).…”

Section: Ultrasound/ultrasonic Positioning Systemmentioning

confidence: 99%

“…Dolphin (Distributed Object Locating System for Physical-space Internetworking) is another ultrasound positioning system, based on a hop-by-hop locating mechanism and broadband signals (Fukuju et al, 2003;Minami et al, 2004). The study on Dolphin was carried out by Fukuju et al (2003) and Minami et al (2004).…”

Section: Dolphin Systemmentioning

confidence: 99%

“…The study on Dolphin was carried out by Fukuju et al (2003) and Minami et al (2004). However, work on this area of ultrasound positioning system began with studies such as that of Hazas and Ward (2002).…”

Section: Dolphin 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

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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.

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Section: Indoor Navigationmentioning

confidence: 99%