2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN) 2019
DOI: 10.1109/ipin.2019.8911766
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Cross-Device Radio Map Generation via Crowdsourcing

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Cited by 3 publications
(2 citation statements)
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“…3) Crowdsourcing: Instead of relying on a single person that collects the labeled data, the surveying process can be split among several participants, possibly non-trained experts. While this drastically reduces the survey time, it introduces further risks of faulty data and requires incentives for user participation [7], [13], [14].…”
Section: Related Work a Decreasing Manual Labeling Effort For Fingerp...mentioning
confidence: 99%
“…3) Crowdsourcing: Instead of relying on a single person that collects the labeled data, the surveying process can be split among several participants, possibly non-trained experts. While this drastically reduces the survey time, it introduces further risks of faulty data and requires incentives for user participation [7], [13], [14].…”
Section: Related Work a Decreasing Manual Labeling Effort For Fingerp...mentioning
confidence: 99%
“…In a follow up work, Kim et al [26] evaluated the system in a case study and demonstrated its effectiveness. Pipelidis et al [38] proposed an architecture for cross-device radio map construction via crowdsourcing. They utilized data labeled via a simultaneous localization and mapping (SLAM)-like algorithm.…”
mentioning
confidence: 99%