the archive
#indoor localization
2 resultscs.RO2019
Localizing Backscatters by a Single Robot With Zero Start-up Cost
Shengkai Zhang, Wei Wang, Sheyang Tang +2
The paper introduces Rover, a system that lets a single robot equipped with inertial sensors and WiFi locate multiple low‑power backscatter tags indoors without any prior map or la…
#indoor localization#backscatter tags#robot SLAM#sensor fusion
eess.SP2019
Decorrelation Deep Learning for Fingerprint-based Indoor Localization
Guojun Xiong, Taejoon Kim, Erik Perrins
The paper proposes using decorrelation filters to preprocess fingerprint-based indoor localization data before training a multi-layer neural network, improving location classificat…
#indoor localization#fingerprint techniques#neural networks#decorrelation