2 documents found, page 1 of 1
Towards quality Wi-Fi synthetic data for indoor positioning evaluation
Pendão, Cristiano Gonçalves; Silva, Ivo Miguel Menezes; Moreira, Adriano; Aranda, Fernando J.; Torres-Sospedra, JoaquínSynthetic data of high quality can provide research teams with an effective means of conducting large-scale evaluations of their indoor positioning systems under controlled conditions, while avoiding the significant effort and costs associated with real-world experiments and data collection/labelling. Moreover, it facilitates the fair comparison with other solutions, since data can be generated for more diverse...
Ensembling multiple radio maps with dynamic noise in fingerprint-based indoor p...
Torres-Sospedra, Joaquín; Aranda, Fernando J.; Alvarez, Fernando J.; Quezada-Gaibor, Darwin; Silva, Ivo Miguel Menezes; Pendão, Cristiano GonçalvesFingerprint-based indoor positioning is widely used in many contexts, including pedestrian and autonomous vehicles navigation. Many approaches have used traditional Machine Learning models to deal with fingerprinting, being k-NN the most common used one. However, the reference data (or radio map) is generally limited, as data collection is a very demanding task, which degrades overall accuracy. In this work, we...