A realistic evaluation of indoor positioning systems based on Wi-Fi fingerprinting: The 2015 EvAAL–ETRI competition
Joaquín Torres-Sospedra(Universitat Jaume I), Herbert Peremans(University of Antwerp), Rafael Berkvens(University of Antwerp), Óscar Belmonte(Universitat Jaume I), Filipe Meneses(Centro de Computação Gráfica), Maria João Nicolau(University of Minho), Raúl Montoliu(Universitat Jaume I), António Costa(University of Minho), Maarten Weyn(University of Antwerp), Stefan Knauth(Stuttgart University of Applied Sciences), Adriano Moreira(University of Minho), Athanasios Koukofikis(Stuttgart University of Applied Sciences), Sergio Trilles(Universitat Jaume I)
Cited by 47
Related Papers
Comprehensive analysis of distance and similarity measures for Wi-Fi fingerprinting indoor positioning systems
|Expert Systems with Applications|2015|273
Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review
|Applied Sciences|2020|200
Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience
|ISPRS International Journal of Geo-Information|2016|166
New Trends in Using Augmented Reality Apps for Smart City Contexts
|ISPRS International Journal of Geo-Information|2018|95