2012 5th Robotics and Mechatronics Conference of South Africa 2012
DOI: 10.1109/robomech.2012.6558464
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Localisation and mapping in GPS-denied environments using RFID tags

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Cited by 7 publications
(6 citation statements)
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“…Human factor related to the human operator is not measured. James et al, (2012) Localization using LiDAR sensors Computational geometry approach using LiDAR sensors…”
Section: Inertial Navigation System (Ins)mentioning
confidence: 99%
“…Human factor related to the human operator is not measured. James et al, (2012) Localization using LiDAR sensors Computational geometry approach using LiDAR sensors…”
Section: Inertial Navigation System (Ins)mentioning
confidence: 99%
“…A particle filter and passive RFID tags are used in the creation of node maps to solve the localization problem. The reported location estimation error is between 0.30 m and 5 m. The study presented in [14] investigates the use of RFID labels randomly distributed for autonomous localization and navigation in underground environments. The reported location estimation error is between 35 cm and 98 cm.…”
Section: State Of the Art-underground Mining Localization Systemsmentioning
confidence: 99%
“…Several outdoor localization methods or systems using RFID in above areas have been reported (Ruan, 2016;Yang et al, 2016;Lucianaz et al, 2015;Vojtech, Neruda, Hrad et al, 2015). Although these methods have achieved very interesting results, most of them have a drawback: They need to combine active RFID technology with GPS receiver, which has limited their applications as GPS signal may not be available in some environments (James et al, 2012), they may also suffer from high power consumption, high cost and lower accuracy. In order to overcome above drawback, the authors in (Vojtech, Neruda, Hrad et al, 2015) have presented an outdoor localization technique using active RFID.…”
Section: Introductionmentioning
confidence: 99%