Automatic data acquisition with robots for indoor fingerprinting

Dumitru-Iulian Nastac, Elena-Simona Lohan, Florentin Alexandru Iftimie, Octavian Arsene, Bogdan Cramariuc

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    7 Citations (Scopus)


    This paper addresses the problem of automatic data collection for the purpose of indoor positioning via Received Signal Strength (RSS) fingerprinting. A robotic platform with basic odometer sensors was used in an university building to automate the process of data acquisition which becomes particularly time consuming when considering mapping of large spaces such as shopping malls or hospitals. More than 3000 observations were collected. We associated for each observation their two dimensional coordinates with the received MAC RSS vector. Preprocessing methods included data augmentation and feature normalization. We searched for multiple models and one of the best performance was achieved by using neural networks and post-filtering.
    Original languageEnglish
    Title of host publication12th IEEE International Conference on Communications (COMM’18)
    ISBN (Print)9781538623503
    Publication statusPublished - Jun 2018
    Publication typeA4 Article in conference proceedings
    Event International Conference on Communications - Bucharest
    Duration: 14 Jun 201816 Jun 2018


    Conference International Conference on Communications

    Publication forum classification

    • Publication forum level 1


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