IoH Technologies into Indoor Manufacturing Sites

Kurata, Takeshi; Maehata, Takashi; Hashimoto, Hidehiko; Tada, Naohiro; Ichikari, Ryosuke; Aso, Hideki; Ito, Yoshinori

doi:10.1007/978-3-030-29996-5_43

Cited by 5 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As specific industrial scenarios, the target for PDR Challenge 2017 and xDR Challenge 2018 were picking operation in 1) Utilising the data actually used in the operation: Similar to other Tracks, Track 5 aims to compare practical performance of indoor localisation methods or systems under realistic industrial scenarios. Its most remarkable characteristic is that the data provided to competitors is obtained from by an analysing system for manufacturing operation which was used during real operation [57], after approval of provision of the data actually used.…”

Section: Track 5: Xdr Challenge In Manufacturing 2020 a Track Descriptionmentioning

confidence: 99%

Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition

Potortì

Torres-Sospedra²,

Quezada-Gaibor

et al. 2022

IEEE Sensors J.

Self Cite

View full text Add to dashboard Cite

Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes. Through fair comparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1 m for the Smartphone Track and 0.5 m for the Footmounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements.

show abstract

Section: Track 5: Xdr Challenge In Manufacturing 2020 a Track Descriptionmentioning

confidence: 99%