4 citations · 7 across the 6 of their papers we have counts for
3 papers · 1 filter
LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization
Ilayda Yaman, Guoda Tian, Erik Tegler +7
We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms. We create the first baseline for the aforementioned sensors usin…
High-Precision Machine-Learning Based Indoor Localization with Massive MIMO System
Guoda Tian, Ilayda Yaman, Michiel Sandra +3
High-precision cellular-based localization is one of the key technologies for next-generation communication systems. In this paper, we investigate the potential of applying machine…
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
Ilayda Yaman, Guoda Tian, Martin Larsson +11
We present a synchronized multisensory dataset for accurate and robust indoor localization: the Lund University Vision, Radio, and Audio (LuViRA) Dataset. The dataset includes colo…